Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.

Your present skillset

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.

To apply please submit your details below and on https://mon-vie-via.businessfrance.fr/

Programme duration: From 4-6 months, starting in 2026. Most individuals join in April, May, or June of each year.    

Who qualifies: Penultimate or final year students completing a Bachelor's or a Master's degree. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

 Your future role at QRT   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.   

Trading 

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

Your present skillset   

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   

• Coding skills required in at least one leading programming language (Python and C++ or C#)  

• Experience in exploring large datasets across multiple time frames is a plus  

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.  

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests. 

• Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 
 
Your future role within QRT: 

• Create high quality Crypto signals on various exchanges and platforms. 
• Monitor your own trading, strategy performance and all relevant risks. 
• Your core objective is to create high quality predictive signals. 
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. 
• Share and discuss research results, methodology, data sets and processes with other researchers. 
• Implement the signals and the relevant datasets within the global execution platform. 
• Monitor signal behaviour and model performance over time within your strategies. 
• You would lead the full strategy research cycle from signal generation to implementation. 

Your present skillset: 

• Proven track record in delivering successful Crypto systematic strategies. 
• Minimum 2 years of experience in the financial industry.  
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. 
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. 
• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail. 
• Good fundamental crypto knowledge is a plus. 
• Experience with one or more of the below is a plus: 
• Crypto specific data sets, DeFi, latency-sensitive, ML/AI or strategies in production  
• Coding skills required in at least one leading programming language, Python preferred, C++ is beneficial. 
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. 
• Capacity to work with autonomy within a collegial and collaborative environment. 
• Strong capacity to communicate with technologists, data scientists and traders across the globe. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance. 

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

Job title: Maconomy Solutions Architect

Location: UK or US with flexible working arrangements

Reporting to: Lead Architect

About us

At Inizio, we're a global team driven by a shared purpose: to reimagine health. Formed in 2022 through the coming together of Ashfield and Huntsworth, we unite decades of experience with cutting-edge capabilities to deliver impactful solutions across the commercialization journey - from discovery to post-launch. Our global network of over 10,000 experts operates across 50 countries, supporting clients with strategic insight, medical excellence, creative engagement, and real-world delivery. We work with the world's leading health and life sciences businesses to solve complex challenges and drive meaningful outcomes for our clients and patients.

What sets Inizio apart is our people - and we believe everyone should have the opportunity to thrive. Here, you're encouraged to reimagine your possibilities: to grow, to be curious and to make real change happen. It's a place where your individuality is valued, your development is supported, and your ambition is celebrated. If you're ready to push boundaries and accelerate your career, Inizio is the best place to be.

About the role

We are seeking an experienced Maconomy ERP Cloud Solutions Architect specialising in core finance, project management, shared service centre, and process automation solutions. You will collaborate with finance partners to understand our needs and translate them into, scalable solutions using Maconomy ERP Cloud. You will define the architecture, creating solutions that combine architecture with data-driven automation and AI-enabled processes to ensure that financial operations are streamlined and optimised.

You will have strong consulting experience, with the ability to drive value identification, realisation, and business case development, ensuring that projects are aligned with business objectives and demonstrate clear return on investment (ROI).

You will report to our Lead Architect.

Key Responsibilities

Strategic Advice: Leverage consulting experience to assess client needs, advise on best practices, and lead the development of technology roadmaps that support business goals, focusing on finance operations such as General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Project and Portfolio Management, Enterprise Performance Management and Financial Reporting.

Business Case & ROI: Work closely with finance leaders to identify and quantify business value, create and validate business cases, and present ROI analyses. Ensure that proposed solutions deliver measurable financial and operational improvements.

Stakeholder Engagement: Collaborate with finance teams, Global process owners, IT departments, and other key stakeholders to gather requirements, create solution designs, and deliver technology solutions that are aligned with business needs and regulatory requirements.

Solution Architecture: Design, implement, and lead Maconomy Cloud Finance-based financial solutions that align with the organization's finance and business strategy. Develop robust architectures that integrate finance processes with Maconomy ERP Cloud applications.

Technology Leadership: Provide strategic oversight and hands-on guidance throughout the entire solution lifecycle—from requirement gathering, architecture design, configuration, development, testing, and deployment.

Value Realization: Drive post-implementation reviews to ensure value realization, providing ongoing support and strategic input to continuously improve financial systems and processes.

Innovation & Best Practices: Stay up to date on the latest Maconomy ERP Cloud capabilities and emerging technologies in finance. Apply innovative thinking to continuously evolve solution offerings, ensuring the organization is utilizing the best technology stack.

Project Management: Support the management of project delivery including timelines, budgets, resource planning, and risk management. Lead the execution of major finance transformation projects, ensuring that they are delivered on time and within scope.

Compliance & Governance: Ensure all solutions adhere to compliance, governance, and risk management protocols, especially in regulated industries.

About you

Experience

• 8+ years of experience in designing and implementing Maconomy Cloud Finance solutions, specifically in global company with financial shared services.
• Strong experience in a consulting role, delivering finance technology solutions and advising on best practices.
• Proven experience in business case creation, value identification, and delivering measurable ROI.

Technical Skills:

• Deep expertise in Maconomy Financials (General Ledger, Accounts Payable, Accounts Receivable, Asset Management, and Financial Reporting). PPM experience bonus.
• Experience in integrating Maconomy with other ERP systems and third-party applications.
• Understanding of cloud technologies and SaaS implementation approaches.
• Familiarity with AI-enabled analytics, Maconomy Digital Assistant (ODA), and Maconomy Autonomous services.
• Proven experience with Intelligent Automation frameworks — including RPA, AI/ML, NLP, or process mining.

Soft Skills:

• Strong leadership and stakeholder management skills, with the ability to engage and influence senior management.
• Problem-solving mindset with the ability to navigate complex financial systems and processes.

Certifications: Maconomy Cloud certification in Financials or ERP is a plus.

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity and inspire the next generation of change-makers. We are an equal opportunities employer. We believe in creating a dynamic work environment that values diversity, equity and inclusion. We aim to recruit from a diverse slate of candidates and foster an environment that provides the right conditions for long-term success. We welcome all applications regardless of race, color, religion or belief, gender, gender identity, age, national origin, marital status, military veteran status, genetic information, sexual orientation and physical or mental disability.

#LI-DT2 #LI-REMOTE

THE ROLE

We are seeking a Delivery Manager (early-career) to bring structure and accountability to how the Technology & Digital Services (TDS) team delivers software, infrastructure, and vendor-led projects. This is a cross-functional role that sits at the heart of TDS delivery, coordinating across internal engineering squads, Product Managers, architects, and third-party vendors to help ensure that projects are delivered on time, to standard, and without disruption to the business.

You will work closely with the India-based Release Manager, supporting day-to-day release priorities and pipeline standards, and helping to coordinate delivery activities across both teams. You are not expected to manage squads directly, that is shared with the Scrum Master and Product Managers, but you will be the person who helps ensure everyone is aligned, dependencies are managed, and nothing falls through the cracks.

This is a role for someone who thrives in complexity, can support internal teams and external vendors to stay on track (even without direct authority), and can translate technical delivery status into clear communication for project stakeholders.

KEY RESPONSIBILITIES

Delivery Coordination & Project Management

• Plan, coordinate, and track delivery across concurrent Digital Transformation workstreams and BAU changes, maintaining a clear and consolidated view of progress, risks, and dependencies at all times.
• Work closely with Technical Leads, Architects, and Product Managers to ensure delivery is on track, proactively surfacing blockers and facilitating their resolution without taking over squad-level ownership.
• Help define and communicate what teams need to deliver in order for work to be considered ready to enter the CI/CD pipeline, working in alignment with the Definition of Ready and Definition of Done standards maintained by Product Management.
• Support Product Managers in managing coordination overhead across workstreams, acting as a force multiplier for delivery capacity within TDS.
• Collaborate with the data capability and Platform Owner to ensure data-related delivery workstreams are appropriately integrated into the broader delivery schedule.
• Maintain accurate delivery documentation, including project plans, RAID logs, and status reports, ensuring stakeholders always have a clear and honest picture of delivery health.

Vendor & Third-Party Delivery Management

• Ensure that third-party vendors adhere to TDS release processes, quality gates, and delivery standards, monitoring compliance and escalating issues within the delivery lifecycle.
• Coordinate vendor delivery activities within the broader delivery schedule, managing dependencies between internal and external workstreams to avoid conflict or disruption.
• Monitor vendor delivery performance and raise concerns early to the relevant Product Manager and the Engineering Lead, providing clear evidence and suggested actions.
• Apply structured project and delivery management approaches (e.g. stage gate processes) where vendors operate outside of an agile framework, ensuring appropriate governance and delivery controls are in place.

Release Oversight & Pipeline Standards

• Provide day-to-day support to the India-based Release Manager on release priorities, pipeline standards, and process compliance, working closely with key delivery and technical leads across both roles.
• Support release readiness and go/no-go activities by gathering inputs and ensuring criteria are tracked, in partnership with Head of Design & Engineering and relevant Technical Leads, ensuring that all delivery and quality criteria are met before any release proceeds to production.
• Support the ongoing improvement of the CI/CD pipeline and release ways of working, identifying gaps and proposing practical process updates as the capability matures.
• Ensure that release processes and standards are understood and consistently followed by all internal teams and vendors.

Incident Management

• Coordinate incident resolution when release-related or production issues arise, acting as the central point of contact across engineering teams, vendors, and architects to drive swift diagnosis and remediation.
• Ensure all incidents are properly documented and reviewed as part of a continuous improvement process, feeding lessons learned back into delivery and release standards.

Architecture & Technical Governance

• Build sufficient understanding of the organisation's architecture, including products, software, data, cloud, and security, to coordinate delivery effectively across technical disciplines.
• Work closely with the architect community (system, data, cloud, enterprise, and security architects) to help ensure that delivery decisions respect architectural standards and constraints.
• Escalate technical risks or architectural concerns identified during delivery to the appropriate architect or the Engineering Lead.

Stakeholder Communication & Reporting

• Provide regular, consolidated delivery and release status updates to the Head of Design & Engineering and wider TDS leadership.
• Support and facilitate cross-team delivery forums and release planning sessions, ensuring the right people are in the room and that decisions are made efficiently.
• Contribute to CAB meetings, providing accurate and timely information on upcoming releases to support informed change advisory decisions.

SKILLS & COMPETENCIES

To be successful in this role, you will demonstrate:

• Strong delivery management skills, with the ability to coordinate complex, multi-team environments involving internal squads and external vendors.
• Comfortable engaging with architects and engineers on software, infrastructure, and cloud topics, with the ability to understand delivery impacts and ask the right questions without needing to be a practitioner.
• Good understanding of agile delivery practices, with experience working alongside Scrum Masters and Product Managers in a cross-functional squad model, including sprint-based release cycles and continuous delivery practices.
• Working understanding of structured project management methodologies, particularly in the context of stage gate processes and vendor delivery governance.
• Strong influencing skills, able to encourage internal teams and vendors to work to agreed standards without direct line management authority.
• Highly organised, with strong planning, prioritisation, and risk management skills across concurrent workstreams.
• Clear and confident communicator, able to translate technical delivery status into plain language for non-technical stakeholders.
• Resilient and pragmatic, comfortable operating in a maturing delivery environment and driving improvement incrementally.
• Delivery focus with strong critical thinking and problem-solving skills.
• Passion for sustainability and the mission to lead the transition to clean energy.
• Commitment to NextEnergy Group's values: be a leader, build trust, be responsible, be innovative, and 'bring your alpha'.

EXPERIENCE & QUALIFICATIONS 

• Minimum of 3 years of experience in a delivery management or technical project management role within a software or technology delivery environment.
• Proven track record of coordinating delivery across internal engineering teams and third-party vendors simultaneously.
• Experience working in an agile delivery environment, with a strong understanding of how delivery management integrates with squad-based ways of working, including sprint-based release cycles, continuous delivery practices, and supporting release planning across one or more agile teams.
• Working understanding of software architecture, cloud infrastructure, and data platform concepts, sufficient to coordinate effectively across technical disciplines.
• Familiarity with structured project management methodologies (e.g. PMP, PRINCE2, or equivalent), particularly in the context of stage gate processes and managing vendors operating outside of an agile framework.
• Experience working with Azure DevOps or equivalent tools for project tracking and delivery coordination.
• Familiarity with Change Advisory Board (CAB) processes and how delivery and release management feeds into change governance.
• Experience managing or providing direction to geographically distributed teams is highly desirable.
• Experience working in a regulated industry (e.g. energy, finance, utilities, or similar) is desirable.
• The right to work in the UK

WHAT WE OFFER 

• A busy role in a supportive team, with plenty of opportunities to learn
• International scope – we operate in over 8 countries
• Hybrid working – we will need you in the central London (Mayfair) office at least twice a week, but you will normally be able to work remotely for the remainder of the week
• 30 days’ holiday per year (3 of which are taken during the festive shutdown in December)
• Private pension
• BUPA Healthcare for you and qualifying dependents
• Cycle to work and electric vehicle leasing schemes
• Annual discretionary bonus.

HOW TO APPLY

If you are interested in this opportunity, please follow the link to apply or send your application to careers@nextenergycapital.com. If you have been shortlisted for the next stage, we will be in contact within 14 days. 

By selecting “Apply” or sending us your CV, you indicate you have read and acknowledged NextEnergy Group’s Candidate Privacy Notice.

DIVERSITY AND INCLUSION

Our approach to diversity and inclusion is a natural extension of our values. Our entrepreneurial culture inspires us to try new things, be open to different viewpoints and be bold. Our Group is committed to cultivating and preserving a culture of connectedness that values difference and gives space for individual expression. The collective sum of our individual differences, life experiences, knowledge, innovation, self-expression, talent and hard work form the bedrock of who we are and who we aspire to be.

We are committed to equal employment and advancement opportunity irrespective of race, color, ancestry, social background, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity.

ABOUT US 

NextEnergy Group was founded in 2007 to become a leading market participant in the international solar sector.  Since its inception, it has been active in the development, construction, and ownership of solar assets across multiple jurisdictions.  NextEnergy Group operates via its three business units: NextEnergy Capital (Investment Management), WiseEnergy (Operating Asset Management), and Starlight (Asset Development).

NextEnergy Capital manages the Group's investment activities and has invested in over 520 solar plants, exceeding 2GW in capacity across its institutional funds.

• NextEnergy Solar Fund (NESF): Listed on the London Stock Exchange, NESF manages 102 solar and energy storage assets in the UK and Italy, with a total installed capacity of 983MW and a gross asset value of £1,014m.
• NextPower II (NPII): A private fund of 105 solar plants (149MW) focused on Italy, successfully divested in January 2022, delivering net IRRs exceeding its 10-12% target.
• NextPower III ESG (NPIII ESG): A private fund targeting solar infrastructure in OECD countries (e.g., US, Spain, Italy), with $896m raised, exceeding its $750m target.
• NextPower UK ESG (NPUK ESG): A private fund dedicated to new-build solar plants in the UK, with ~£600m raised.
• NextPower V ESG (NPV ESG): A private OECD solar fund investing in solar and adjacent technologies like battery storage. To date, it has raised $745m, targeting $1.5bn ($2bn ceiling).

WiseEnergy® is NextEnergy Group’s operating asset manager.  WiseEnergy is a leading specialist operating asset manager in the solar sector.  Since its founding, WiseEnergy has provided solar asset management, monitoring, technical due diligence and under construction services to over 1,500 utility-scale solar power plants with an installed total capacity in excess of 3.4 GW.  WiseEnergy clients comprise leading banks and equity financiers in the energy and infrastructure sector. 

Starlight is NextEnergy Group’s development company that is active in the development phase of solar projects.  It has developed over 100 utility-scale projects internationally and continues to progress a large pipeline of c.10GW of both green and brownfield project developments across global geographies.

NextSTEP is the venture capital fund of NextEnergy Group, dedicated to investing in innovative startups in the field of environmental sustainability. The fund primarily focuses on investments in Italy and the United Kingdom but also extends its reach to the rest of Europe and the United States, targeting startups in the pre-seed and seed stages. NextSTEP pays particular attention to emerging entities from incubators, startup accelerators, universities, and research centers, supporting projects that address global challenges in crucial areas such as Climate Change, Energy Transition, CO2 Capture and Sequestration, Circular Economy, Sustainable Cities, Sustainable Mobility, Sustainable Fashion, Waste Management, Water and much more.

NextEnergy Foundation is a non-profit organisation founded in 2016 by the NextEnergy Group that operates internationally and whose mission is to proactively participate in the global effort to reduce carbon emissions by providing clean energy sources in regions where they are not yet available and thereby contributing to poverty reduction. As the main sponsor of this foundation, the NextEnergy Group donates at least 5% of its consolidated net profits each year. The NextEnergy Foundation has no overhead costs and therefore 100% of the funds raised go to donations for the various projects. Since 2016, in 8 years of operation the foundation has donated more than £1.2 million, supporting over 30 projects in 27 different countries around the world.

About the Product 

Token Factory is focused on building a next-generation platform that enables companies to seamlessly integrate AI into their products and workflows. Our vision is to create a powerful, open, and scalable alternative for deploying and managing AI systems—making advanced AI infrastructure more accessible to both fast-growing startups and large enterprises. 

We work with a wide range of customers, from AI-first companies to established technology organisations, helping them run AI workloads reliably at scale. Our goal is to become a leading platform for high-performance AI inference, delivering predictable latency, strong reliability, and the ability to scale to meet demanding production needs. 

Customer feedback plays a central role in how we build—our development process is highly iterative and closely aligned with real-world use cases. 

 About the Team 

We are a fast-growing, distributed team of engineers and product professionals based primarily in Europe. The team brings together strong backend, frontend, product, and business expertise, with a shared focus on building impactful, scalable systems. 

While we initially started without deep specialisation in AI/ML, the team has rapidly grown into the  space—demonstrating strong ownership, curiosity, and the ability to tackle complex technical challenges. 

Technology & Environment 

Our work is deeply integrated with a broader cloud and infrastructure ecosystem. We primarily use Go and Python to build and scale backend systems and collaborate closely with teams focused on areas such as infrastructure, observability, billing, and AI research. 

The platform continues to evolve from a lightweight integration layer into a more comprehensive system, including custom infrastructure, optimisations, and deeper control over performance and reliability. 

What We’re Working On 

• Scaling distributed systems: Expanding our platform to handle significantly increased workloads while maintaining performance and reliability  

• Improving reliability: Enhancing system stability and uptime to meet enterprise-grade expectations  

• Optimising AI performance: Continuously adapting to new models, hardware, and runtime improvements  

• Expanding platform capabilities: Building beyond inference into broader AI infrastructure, including data pipelines, customization, and advanced usage features  

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

Why It’s Interesting 

This is an opportunity to work at the intersection of distributed systems, cloud infrastructure, and applied AI, tackling real-world scalability challenges and shaping how companies adopt AI in production environments. 

We are seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search.

Your responsibilities:

• Design, train, and deploy ML models for retrieval, reranking, and search relevance in production
• Build and optimise embedding-based indexing and large-scale retrieval systems
• Develop models supporting crawling, data selection, and content understanding
• Define and improve quality metrics for agent-native search and build evaluation pipelines
• Work on systems operating at very large scale, including high-throughput query workloads
• Collaborate closely with engineering teams to integrate ML models into production services
• Analyse performance trade-offs across latency, quality, and cost
• Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems
• Contribute to product and architectural decisions in a fast-moving environment

Must-haves:

• 5+ years of experience in software engineering or applied machine learning
• Strong programming skills in Python, Go, or C++
• Proven experience deploying ML models in production systems
• Hands-on experience with retrieval, ranking, recommendation, or similar ML problems
• Strong understanding of machine learning and modern deep learning techniques
• Experience working with large-scale data systems and high-throughput environments
• Ability to design evaluation frameworks and define meaningful model metrics
• Product-oriented mindset with a focus on impact and iteration
• Strong problem-solving skills and ability to work in a distributed team

Nice-to-haves:

• Experience with search systems or large-scale information retrieval
• Familiarity with embeddings, transformers, and modern NLP systems
• Experience working on LLM-powered or agent-based systems
• Contributions to open-source projects, technical publications, or conference talks
• Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability

We conduct coding interviews as part of the process.

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect? 

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the Contentful Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate ML cloud solutions and adapt them to our large-scale use cases.
• Integrate prompt engineering and fine-tuning for customer use cases.
• Develop software that scales to meet the demands of high-load customer workloads.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

• Proven experience as a technical leader in a product software development environment
• Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
• Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
• Ability to organize and prioritize competing workloads
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
• Solid understanding of machine learning principles
• Experience with container frameworks such as Docker or Kubernetes
• Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
• Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest

Preferred:

• Background includes machine learning and AI implementation
• You can translate a research paper into a PoC if the code does not exist

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the opportunity

Join Contentful as a Senior AI Software Engineer (f/m/d) and innovate with AI Integrations

At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We are seeking talented Senior AI Software Engineers (f/m/d) to join our AI Platform team—a group dedicated to building and maintaining an internal AI platform that accelerates innovation across our organization.

As a key contributor, you will help shape the internal AI ecosystem by developing scalable, high-performance AI integrations, APIs, tools and documentation that empower feature teams to efficiently test, deliver and maintain cutting-edge AI-driven products. Acting as both a support and consultancy resource, you’ll collaborate closely with feature teams to enhance their development capabilities and bring AI-powered solutions to life. By building intuitive internal tooling and fostering seamless integration of AI technologies, your work will drive efficiency and innovation throughout Contentful.

If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we’d love to have you join us. Together, we’ll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems.
• Platform Development: Design, develop, and maintain scalable AI platform features using TypeScript and Node.js, to enable feature teams, while ensuring they are compatible with other services, and APIs.
• AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.
• Holistic Thinking: Think critically about the interactions between AI models and product components to ensure a cohesive and intuitive user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.
• Continuous Improvement: Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable.
• Stay Current: Keep up-to-date with the latest industry trends, particularly in the domains of AI and machine learning, ensuring the platform stays competitive by leveraging cutting-edge AI technologies.

What you need to be successful?

• API and Service Design: Proven experience in building APIs and services that efficiently handle large volumes of traffic. Deep interest in clean code practices and familiarity with enterprise architectural design patterns
• Serverless Architectures: Experience with serverless architectures, ideally edge compute environments such as Cloudflare Workers.
• Asynchronous Systems: Experience with building and maintaining asynchronous systems for automation and bulk use cases.
• Containerization and Orchestration: Experience with Docker and Kubernetes, especially in deploying AI models or microservices.
• Enterprise Solutions: Knowledge with implementing enterprise ready governance features such as RBAC, audit logging, and compliance frameworks. 
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus.
• Problem-Solving Skills: A natural problem-solver who brings forward innovative ideas to integrate and features within product workflows, leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to collaborate effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced, AI-driven environment, ensuring AI and software systems align with business objectives.

Preferred:

• AI and Machine Learning Expertise: Skills in integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products.
• Platform Experience: Experience in developing platform features to enable internal teams
• Full Stack Experience: Strong skills in TypeScript, React, and Node.js.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect? 

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the Contentful Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate ML cloud solutions and adapt them to our large-scale use cases.
• Integrate prompt engineering and fine-tuning for customer use cases.
• Develop software that scales to meet the demands of high-load customer workloads.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

• Proven experience as a technical leader in a product software development environment
• Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
• Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
• Ability to organize and prioritize competing workloads
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
• Solid understanding of machine learning principles
• Experience with container frameworks such as Docker or Kubernetes
• Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
• Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest

Preferred:

• Background includes machine learning and AI implementation
• You can translate a research paper into a PoC if the code does not exist

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

Principal Engineer

Location: Waterloo, London, England, UK | Hybrid (1 day per week in office)

Who We Are 

At 8th Light, we bring life to the best ideas.

Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimise our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. 

Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients.

If this kind of work and our kind of people energizes you, you’ve found the right place. 

Who You Are

You’ve shown long-term repeated success on a variety of projects, typically over the course of 10+ years. You are a trusted expert and leader, often called upon to guide ambiguous initiatives and architect scalable solutions. You bring a blend of deep consulting acumen, technical expertise, and product thinking that drives measurable and impactful outcomes. In your previous experience, you have:

• Demonstrated long-term success on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, technical environments, and client industries 
• Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served 
• Led the development and delivery of production-grade software using a variety of languages and frameworks, including but not limited to: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
• Evaluated and strategically applied AI-assistive development tools to accelerate delivery and improve quality
• A track record of understanding, assessing, and embracing new tooling and trends within the software industry
• Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) 
• Used context-appropriate automated testing to inform software design choices and catch bugs
• Successfully led modernization efforts to align legacy systems with short and long-term business needs
• Remedied architecture-level concerns such as scalability, security, reliability, and performance
• Facilitated alignment and collaboration across technical and non-technical stakeholders to move initiatives forward in the face of ambiguity and complexity while balancing technical considerations with product and user needs
• Provided mentorship and team support at scale, while sharing knowledge and improving team practices 
• Actively sought out and effectively given feedback
• Collaboratively led stakeholders to balance technical considerations with product and user needs

What You’ll Do At 8th Light

As a go-to technologist and strategist within 8th Light, you’ll work with a variety of clients, typically one to two in a year, while continuing to deepen your and our collective domain expertise over the course of your career with us. You’ll be responsible for:

• Rapidly building trust with clients, demonstrating technical expertise and understanding of their domain and objectives 
• Guiding technical direction, solving complex problems, and demonstrating best practices while remaining deeply engaged within the codebase
• Working pragmatically to balance technology choices while delivering high-quality work within deadlines
• Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes
• Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
• Driving innovation by proactively surfacing new technical approaches and product solutions
• Leading or initiating formal feedback conversations with teams and clients via retrospectives
• Clearly articulating and documenting outcomes and driving forward action items
• Contributing to the health of your team and 8th Light’s culture by modelling our Values
• Designing and managing high-level technical roadmaps for large engagements
• Building your network and maintaining relationships with clients and other industry leaders within your domain
• Coaching client engineering teams, transferring knowledge and leveling up practices
• Influencing client CTOs and executive decisions. Planning and execute technical work that involves stakeholders outside of project boundaries such as across a client's technical organization
• Participating in account planning; opportunity identification.
• Facilitating retrospectives, strategy sessions, and technical deep-dives to improve team and project outcomes
• Identifying, mitigating, and resolving blockers to team progress
• Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes
• Demonstrating leadership in scalable system design, modular architecture, and platform- or product-oriented development.
• Bringing depth in testing strategies, observability, fault tolerance, and secure engineering practices.
• Applying architectural patterns to evaluate tradeoffs and drive clear, documented design rationale.

Strongly Preferred Skills

We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas:

• Delivering and advising on enterprise-grade AI systems, including RAG pipelines, vector search, and agentic frameworks (e.g., LangChain, LlamaIndex, Crew AI, AutoGen, n8n), ensuring scalable, production-ready solutions that empower developers and align with business outcomes.
• DevSecOps & DevOps
• MLOps
• Infrastructure as Code
• Data Engineering: including platforms like Databricks for data processing and analytics.

Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. 

How You’ll be Supported

At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. 

• Our wellness package is designed with the Whole YOU in mind and includes:
• A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.
• Annual financial stipend and time allotment for learning & development
• Coworking support for our global team
• 12 weeks of new parent leave available for eligible employees

See our full list of Benefits. 

A Note on Compensation

At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs.

We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Principal Engineer position within London is: £92-818-£116-122 GBP

Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market.

8th Light Hubs and Geographies

8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. 

• London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.

We hope to see you apply! 

^#LI-Hybrid

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Senior Agent Architect at Parloa, you will play a key role in transforming customer service with AI Agents. In this customer-facing role, you will support the implementation of Parloa's solutions, enhancing customer experiences for clients and partners.

Using your expertise in Large Language Models (LLMs), Prompt Engineering, NLP & NLU conversational design, and integration platforms, you will craft effective AI workflows and build connections to enterprise systems and ensure quality, performance, and end-to-end operational readiness. You will design, prototype, and validate conversational solutions for AI agent deployments, including the integration layer that connects Parloa's platform to customers' existing technology stacks, and guide customers and partners in maximising the value of Parloa's AI solutions.

Areas of ownership:

• Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners. 
• Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior. 
• Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively. 
• Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards. 
• Build and configure integrations between customers' systems and Parloa's Platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms) via integration platforms and APIs to deliver end-to-end enterprise solutions.
• Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities. 
• Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer. 
• Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions. 
• Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.

Who you are:

• 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development to create engaging and intuitive conversational experiences
• Ability to analyze customer requirements and craft LLM prompts that align with desired outcomes
• Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact
• Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning
• Strong project and stakeholder management skills, with passion for meeting milestones and effective communication
• Analytical and critical thinker with expertise in risk assessment, problem-solving, and strategy, plus solid knowledge of data structures, system integrations, and enterprise APIs
• Familiarity with API authentication patterns (OAuth, API keys, JWT), data transformation and field mapping logic
• Proficiency in REST API design, JSON/XML data structures, and API testing tools (Postman, etc.)
• Experience reading and consuming API documentation across enterprise SaaS platforms (CRMs, ERPs, contact center platforms)
• Exceptional attention to detail and logical thinking, with a proven ability to identify and address subtle nuances in conversational flows, ensuring a seamless and engaging user experience
• Familiarity with A/B testing methods to ensure AI agent performance at scale

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

The deadline for applying to this role is Sunday 24th May 2026, end of day, anywhere on Earth.

Team Description    

The ability to effectively evaluate and monitor AI systems will grow in importance as models become more capable, autonomous, and integrated into society. If models can detect and game evaluations, obscure their reasoning, or behave differently under observation, the safety claims that governments and developers rely on become unreliable. Understanding and addressing these risks is essential to ensuring that oversight of advanced AI systems keeps pace with their capabilities. 

The Model Transparency team is a research team within AISI focused on ensuring that evaluations, assessments, and monitoring of frontier AI systems remain reliable as models become less transparent. We research how and why oversight is declining – through phenomena such as evaluation awareness, unfaithful chain-of-thought reasoning, and changes in model architectures – and develop methods (including white and black box methods) to detect, measure, and mitigate potential issues. We share our findings with frontier AI companies (including Anthropic, OpenAI, DeepMind), UK government officials, and allied governments, and publicly to inform their deployment, research, and policy decisions. We also work directly with safety teams at frontier labs, contributing to safety case reviews and helping improve their alignment evaluation methodology. 

Our recent work includes auditing games for sandbagging, reproducing natural emergent misalignment from reward hacking, and identifying open-weight language models that game propensity evaluations. 

Role description

We're looking for Research Scientists and Research Engineers for the Model Transparency team with expertise in technical AI safety – such as interpretability, capability or alignment evaluations, model transparency – or with broader experience with frontier LLM research and development. An ideal candidate would have a strong track record of high-quality research in technical AI safety or adjacent fields. 

• Research Scientists, drive the technical substance of our work – staying abreast of the literature, proposing and designing experiments, conducting rigorous analyses, and owning the evidence stack from experiment through to written output. They write, critique, and strengthen the team's reports and publications. 
• Research Engineers, build the systems and tooling that make our research possible and fast – scaling experimental workflows, automating processes, solving infrastructure challenges, and creating systems that accelerate the entire team's output.

We're interested in candidates along the spectrum between Research Engineers and Research Scientists. The application form will ask you to indicate which role you lean towards. 

The team is led by Joseph Bloom, advised by Geoffrey Irving. You'll work with talented, mission-driven technical staff across AISI, including alumni from Anthropic, OpenAI, DeepMind, and top universities. You may also collaborate with external research teams including those at frontier AI labs, METR, and FAR. 

We are open to hires across a range of experience levels.

This role requires three days a week in person, with flexibility for occasional periods of remote working. 

Representative Projects You Might Work On

• Developing a chain-of-thought monitorability benchmark and comparing monitorability properties across frontier AI systems, leveraging AISI’s unique access to reasoning traces from multiple labs. 

• Designing and running experiments on open-weight models to study alignment and oversight-relevant phenomena – such as reproducing emergent misalignment from reward hacking, or red-teaming techniques like inoculation prompting and character training. 

• Using white-box and interpretability methods – such as activation oracles, sparse auto-encoders or probes – to detect misalignment that isn’t visible through behavioural evaluation alone. 

• Building tooling and infrastructure for our research – including agent orchestration, large-scale RL pipelines, mechanistic interpretability methodologies, and auditing agents. 

The work could also involve: 

• Reviewing frontier lab risk assessments and safety cases, providing independent analysis of alignment claims before deployment decisions. 
• Conducting literature reviews and expert interviews to map the state of model transparency risks and inform AISI’s strategic priorities. 
• Translating technical findings into actionable insights for AISI evaluation teams, UK government officials, and international partners. 

What we’re looking for   

If you’re unsure whether you meet the criteria below, we’d encourage you to apply anyway – we’d rather you erred on the side of applying than not. 

Requirements for both roles:

• A get-things-done mindset – you take ownership, move fast, and care about shipping work that matters. 

• A combination of self-sufficiency and enthusiasm for teamwork – you’re equally happy defining your own agenda and contributing to shared goals. You’re excited about growing, giving and receiving feedback, and building something together. 

• An ability to build, supervise and orchestrate AI agents to complete tasks effectively, while verifying and maintaining quality of work. 

• A demonstrated track record of relevant, high-quality work – whether technical publications, blog posts, or other publicly visible contributions. 

Research Scientists – our requirements are: 

• Hands-on research experience with large language models (LLMs) – such as evaluating or fine-tuning models, developing and testing monitors, or auditing models with white-box or black-box techniques. 

• Ability and experience in writing research code for machine learning experiments, including experience with ML frameworks like PyTorch or evaluation frameworks like Inspect. 

• An ability to write high-quality, concise research proposals that are well-motivated, tractable, and coherent. 

• Good research taste – an ability to identify what’s important, choose productive directions, and avoid getting lost in dead ends. 

• An ability to read research critically, identify flawed arguments, and poke holes in safety claims. 

We don’t expect RS candidates to meet all of the following, but they are useful signal: 

• Experience designing and running alignment evaluations or working on model transparency research. 

• Experience with interpretability or white-box methods – such as mechanistic interpretability, sparse autoencoders, probing, or activation analysis. 

• Familiarity with alignment literature, current methods for post-training and aligning LLMs, and the current state of the field. 

• Prior mentorship or training within technical AI safety – such as through the MATS program or similar. 

Research Engineers – our requirements are: 

• Strong software engineering skills and experience building systems that support ML research – infrastructure, pipelines, tooling, or experimental platforms. 

• Ability and experience writing production-quality code in Python and familiarity with ML frameworks like PyTorch. 

• Experience working with LLMs at scale in some capacity – fine-tuning, deploying, evaluating, or building scaffolds around them. 

• An understanding of the needs of research scientists, experience working within and supporting a research team or building tools to support research. 

We don’t expect RE candidates to meet all of the following, but they are useful signal: 

• A track record of scaling AI automation – getting agents to do useful work, building orchestration systems, or accelerating research workflows with AI tooling. 

• Experience working with very large models (~100B+) at scale, including post-training (RL, RLHF, DPO), fine-tuning pipelines, or distributed interpretability work on models that don’t fit into memory. 

• Experience with mechanistic interpretability tooling or white-box analysis infrastructure at scale. 

• Strong open-source contributions, particularly related to LLMs or AI safety. 

• Proficient usage of LLM coding tools and agents. 

Selection process  

Candidates should expect to go through some or all of the following stages: 

1. CV / application review 
2. Screening call
3. Technical assessment
4. Research interview
5. Behavioural interview
6. Final interview with members of the senior leadership team

Field Marketing Manager, UKI

Location: London, UK. 

The opportunity:

Are you an experienced marketer who thrives on high growth and high impact? We’re looking for a Field Marketing Manager to own our regional go-to-market strategy across the UK, with a primary focus on the Public Sector.

As a strategic architect of demand, you will work closely with Field Sales, Inside Sales, and the wider marketing team, accelerating pipeline growth and driving sustained revenue success across the region.

What you’ll do:

• Strategy & execution: Partner with UKI Sales leadership and teams to build and deliver a comprehensive marketing plan that doesn't just meet targets, it exceeds them.
• Get to know your audience: Research and build compelling Public Sector programs, from high-level executive roundtables and major conferences to account programs and creative direct mailers.
• Collaborate: Be the advocate for the UKI market. Work with our global Digital, Web, and Comms teams to scale your local successes and share best practices across the organization.
• Focused on results: Educate and energize our Sales and SDR teams on upcoming activities to ensure every lead is maximized, and your efforts are showing a strong ROI. 
• Master the metrics: Take full ownership of your budget, and program metrics. Use Salesforce and Tableau to track lead flow, refine your tactics, and optimize for greater impact.

About you:

You are a proactive self-starter who thrives in fast-paced environments. You’re collaborative by nature, data-driven by habit, and you bring a positive, "can-do" energy to our team. 

• Experienced: +7 years in field marketing within high-growth tech (including 3–5 years specifically marketing to the Public Sector).
• A natural leader: You have a history of career growth and the personal drive to take strategic ownership of a region, and results.
• Strong communicator: You can build buy-in with sales teams, laying a strong foundation for future joint success. 
• Accountable: You have a strong sense of ownership and a track record of executing creative, high-impact programs that deliver measurable results.
• Adaptable & resilient: You bring a calm, solution-focused mindset to high-pressure situations. Even as priorities shift, you stay positive, with a steady, motivating presence for your team.
• Familiarity with Salesforce and Tableau is a plus; willingness to travel up to 25% (mainly within the UK) is required.

What we offer:

Rubrik offers a high-growth, high-pace environment where your work has a direct and visible impact on our global growth trajectory. You will work alongside world-class, experienced marketers in a fun and international atmosphere characterized by excellence and team spirit. We pride ourselves on strong sales alignment, meaning you will join a team with high-trust relationships. Above all, we provide the professional autonomy you need to own your territory and lead strategic initiatives, taking part in our mission to help our customers to become fully cyber resilient. 

About The Team:

Rubrik’s Marketing Team is growing and we’re looking for individuals to join us at one of the most pivotal moments in our journey. Our team breaks boundaries and challenges the status quo, innovating along the way. We embrace a culture of opportunity and empowerment, allowing team members to take their best ideas and see them to fruition, while constantly exploring one-of-a-kind strategies. Come be part of a team bringing a fresh perspective to data security.  Join us and let’s be unstoppable, together.

Join our Marketing Localisation team!

Our Marketing Localisation team supports leading entertainment brands in reaching audiences across markets, ensuring that trailers, promos, key art, teasers, and other marketing assets feel natural, engaging, and consistent in every language.

We are looking for a Project Coordinator to join our growing global team. This role is well suited to a recent graduate who is keen to gain hands-on experience and build a career in localisation. You will work closely with project managers in London, as well as Madrid, LA and São Paulo, supporting a wide range of translation, transcreation, voice-over, dubbing, and subtitling projects across marketing, editorial, and gaming content.

The role calls for a proactive approach and a strong command of written and spoken English. It offers the chance to work on high-profile projects in a fast-moving environment, while building solid working relationships with teams across different regions.

Key responsibilities  

• Providing ad hoc administrative and production support as required by the team and the company
• Sourcing suppliers and negotiating rates as required
• Organising projects from start to finish, including trafficking materials for suppliers, and communicating daily with project managers
• Quality assurance prior to delivery
• Prepare files for translation using CAT tools
• Working with subtitling software: preparing files for suppliers, prepping for client’s delivery, implementing changes, fixing issues, exporting final deliverables
• Managing workflow to ensure projects are completed on a timely basis, within budget and to a high standard of quality at all times, while adapting to any last-minute changes.
• Completing project admin

Essential skills and experience 

• At least one year of experience in localisation or media project management, ideally with streaming platforms or major entertainment brands
• Strong organisational, time management, and planning skills
• Ability to manage multiple tasks and work independently in a fast-paced environment
• Clear and effective written and verbal communication
• Strong problem-solving ability, with both creative and analytical thinking
• Comfortable adapting to last-minute changes and shifting priorities
• High level of attention to detail and accuracy
• Collaborative team player, willing to step in where needed to ensure delivery
• Self-motivated, with the ability to take initiative
• Proficient in Microsoft Office; familiarity with subtitling tools and translation software such as Trados or MemoQ
• Degree in Translation, Audiovisual Translation, or a related field preferred
• Fluent in English
• Open to working across roles and regions within a global, evolving team

Your Mission:

Join us in re-igniting the international energy trading market and leave your mark on how energy traders work! 

We are seeking a highly motivated and strategic Business Manager Revenue (Chief of Staff Revenue) to act as an impact multiplier for our Chief Revenue Officer. This is a critical role that will work in close partnership with the CRO, CoS and Head of RevOps to drive strategic initiatives, manage key projects, and ensure the seamless operation of the entire revenue organisation. 

You will be at the heart of our growth engine, helping to drive forward our sales strategy, optimise our processes, provide day-to-day support, enable cross-departmental alignment, organise revenue management and staff related meetings and enable data driven strategic decisions.  

The ideal candidate is a natural leader, an exceptional communicator, and a master of organisation. You are comfortable navigating ambiguity, adept at managing complex projects, and have a deep understanding of how to operate an OKR (Objectives and Key Results) framework to drive measurable success.

Your Responsibilities:

• Strategic Impact & OKR Management:
• Partner with the CRO to support execution of the company's revenue strategy.
• Support the OKR process for the revenue organisation, tracking progress and ensuring alignment across all teams (Sales, Marketing, Revenue Operations & Customer Success).
• Translate strategic priorities into actionable plans and tangible results.
• Communication & Stakeholder Management:
• Serve as a key liaison between the CRO and other stakeholders, including the executive team, revenue management, and cross-functional leaders.
• Prepare and deliver high-impact communications, presentations, and reports for various audiences.
• Ensure a consistent and transparent flow of information throughout the revenue organisation.
• Project Management & Execution:
• Lead and manage high-priority projects and strategic initiatives on behalf of the CRO.
• Develop detailed project plans, track milestones, and ensure timely and successful delivery.
• Proactively identify and resolve roadblocks to keep projects on track.
• Operational Excellence:
• Work with the CRO to optimise the rhythm of the business, including leading agenda planning for key meetings, tracking action items, and ensuring follow-through.

Your profile:

• Strategic Background: 5+ years in high-growth tech (Chief of Staff, Business Ops, Consulting or Commercial Lead).
• Expert Execution: Comfortable working within an OKR framework and being data-driven in problem-solving.
• Influence: Low-ego confident collaborator; able to influence without authority across all levels.
• Executive Presence: Expert at communicating complex information in a variety of forms and to varied audiences.
• Operational Agility: Highly organised under pressure; willingness to travel up to 50% as required to support business needs.

The team:

You’ll join a cross-functional department of Software Engineers, Product Managers and Designers, all collaborating together with the wider business to achieve impactful product outcomes.

Everyone is involved from day one in shaping opportunities that provide outsized value to both clients and suppliers on Risk Ledger, keeping our users as top priority.

We care deeply about building the right thing, in order to fundamentally shift mindsets in the cybersecurity industry. We ship quickly & continuously in order to learn and iterate - whilst always pushing for the highest possible quality bar and keeping security and automation front and centre.

The core of our stack is GoLang, AWS, and Vue.js, with modern design philosophies and a cloud-native approach.

This role:

Our Product Engineers play a crucial role in our user and product experience. You will be focused on solving innovative end-to-end product challenges in the best manner for our customers. Whilst you may have a natural inclination towards the backend or frontend, we expect you to have a good breadth of knowledge across the stack. You'll delve into all aspects of our tech stack and product portfolio, having meaningful impact on our customers, and the overall success of the business.

As a Staff Engineer, you'll typically be anchored to a single squad - often in a Tech Lead position - but you'll be expected to influence across all of our squads, and help to set high standards and consistency across the organisation. You should expect to operate at varying levels of detail across the stack and may have to manage multiple priorities simultaneously.

You’ll be collaborating on a daily basis with designers, product managers, other engineers and the wider business to create a great product experience and continuously ship value to our users. You'll be expected to mentor others within your squad and instil extremely high quality bars and effective modes of operation across our technology organisation. You will also have input into our engineering strategy.

In the role you will:

• Collaborate to deliver an exceptional product. From understanding initial needs to crafting outstanding solutions, you'll work directly with product managers and designers to bring ideas to life. And by that, we don’t just mean implement requirements, we expect our engineers to understand our market and customers in order to be able to influence product strategy and challenge assumptions.
• Develop high quality systems and code. Working across our stack, you’ll design and develop the systems that underpin the Risk Ledger product and advance us towards our vision.
• Move fast, with an eye for quality. You enjoy moving fast while maintaining an extremely high quality bar through testing, automation, discipline, consistency and best practice, whilst treading a careful line in pragmatism and cost-benefit analysis.
• Enjoy being a generalist. We are building an amazing and talented team from a diverse set of backgrounds and skillsets. Our engineers are empowered to work in all areas of our platform, and across all areas of the business, directly contributing to the wider success of the company.
• Nurture the talent and growth of the team. You will be able to mentor junior - senior level colleagues to level up both hands-on technical and architectural decision making skills.
• Have an impact. We're a growing startup - so you’ll have the opportunity to get involved in areas outside of your day to day role.
  
  

You’ll have:

• Worked in multiple engineering teams focused on building a customer focused SaaS product; weighing up delivering value to clients against technical excellence.
• Deep experience with either backend or frontend development.
  • Backend language preferably Go; or something like Java, C# or Python
  • Frontend: Typescript preferably with VueJS or React
• In either case, reasonable additional experience with:
  • SQL and 'NoSQL' Data stores, with deep knowledge of data model design
  • Containers and Orchestration: Docker / Kubernetes
  • Cloud providers and cloud native services, preferably AWS
  • Event driven systems, and messaging services such as SQS/SNS, Kafka or RabbitMQ
• Experience being the lead in the design of non-trivial solutions, working with others to implement.
• A desire to deeply understand our customers and the problems they face, in order to improve their day-to-day experience.
• An ability to thrive in ambiguity, tackling problems that might not be well defined and without obvious solutions, and comfortable operating autonomously.
• A keen sense of curiosity, with a natural drive to learn and grow.
• A passion to work collaboratively with others. We like to work as a team, not a collection of individuals and we expect you to have the same mindset. Passion for pairing, mobbing and other XP principles are a strong plus.
  
  

You might have:

• Participated in mentoring other members of your team. While this role will be hands-on technical as an individual contributor, we do expect Lead Engineers to take on some nurturing responsibility, and general tech leadership.
• A startup/scale-up background. We’re not concerned if you have not worked in this environment, as long as you are willing to get stuck into the ambiguity of an early stage company.
• Experience of data processing, machine learning, AI or integrating large datasets into a product.
• Worked with observability solutions (Kibana, Grafana, Sentry).

About the Team

About the Role

What you’ll do

• Lead and mentor a globally distributed team of security engineers focused on application security, offensive testing, secure architecture, and vulnerability remediation.
• Lead and coordinate the team's initiatives and help provide project management leadership to the team members.
• Coordinate cross function and cross stream initiatives and projects.
• Drive integration of security into Miro’s Discover, Define, Deliver lifecycle through the lens of the AMPED Ways of Working and Operating Model.
• Collaborate with Product, Engineering, and Design to ensure security is considered at the earliest stages of ideation—via threat modeling, risk reviews, and abuse-case analysis.Shape and evolve Miro’s Secure SDLC practices, integrating security seamlessly into CI/CD pipelines, infrastructure-as-code, and developer tooling.
• Oversee execution of bug bounty and third-party testing programs, ensuring vulnerabilities are triaged, communicated, and remediated effectively.
• Build and scale Miro’s Security Champions program to embed security ownership within each engineering team.
• Guide secure adoption of AI-augmented software development tools, including LLMs used for code generation, reviews, or architectural assistance.
• Help envision and safely operationalize Agentic AI-driven developer and security workflows, including policy-driven autonomous agents supporting security automation and decision-making.
• Provide structured guidance, patterns, and reference architectures that support developers in implementing secure, scalable, and privacy-respecting features.
• Define and report on KPIs and success metrics for secure development adoption, vulnerability resolution, and developer engagement.
• Collaborate with Privacy, Legal, and Compliance teams to ensure alignment with regulatory requirements (ISO 27001, SOC 2, GDPR, and emerging AI regulations).
• Foster a strong team culture based on collaboration, learning, and continuous improvement.

What you’ll need

• 10+ years of experience in software, application, or product security, including significant experience in secure software development.
• 3+ years of technical leadership or management experience in a security-focused role.
• Extensive experience with threat modeling methodologies (e.g., STRIDE, PASTA) and risk assessment, particularly within a SaaS or product-centric organization.
• Deep expertise in Secure Software Development Lifecycles (SSDLC), including integrating security into agile and custom development frameworks.
• Demonstrated experience running Security Champions programs and scaling developer engagement.
• Experience leading offensive security programs (penetration testing, red teaming, bug bounty).
• Practical understanding of governance and assurance frameworks such as ISO 27001, SOC 2, and OWASP SAMM.
• Familiarity with AI/LLM tooling (e.g., Cursor, GitHub Copilot, custom LLM integrations) and the associated security and governance considerations.
• Experience working with AWS and securing API-driven, microservice-based architectures.
• Ability to manage distributed teams and communicate effectively across technical and business stakeholders.

Who You Are (Skills & Attributes)

• Developer-Aligned: You understand the pace and pressure of modern software development and are committed to reducing friction while improving security posture.
• An Exceptional Communicator: You can articulate complex technical risks to non-technical stakeholders and translate business goals into security strategy for your team.
• A Natural Collaborator: You excel at building strong relationships and influencing cross-functional teams without direct authority.
• A Pragmatic Problem-Solver: You are skilled at identifying scalable, risk-based solutions and are comfortable navigating ambiguity in a fast-paced environment.
• Data-Driven: You use metrics and KPIs to measure the effectiveness of your programs and drive continuous improvement.
• A Passionate Mentor: You are dedicated to developing talent and empowering engineers and product managers to be security champions.

Why Join Miro’s Security Team?

As a member of Miro’s security leadership, you’ll help define how innovation and trust scale together. You’ll work across the AMPED operating model, empower developers through secure tooling, and support cutting-edge AI-driven and agentic workflows that redefine how software and teams are built. If you thrive on technical depth, cross-functional collaboration, and advancing the next era of secure software development, this role is for you.

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Policy Expert – Retention Commercial Lead

🚀Are you ready to transform the insurance industry?

Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience.

Having achieved rapid growth since being founded in 2011, we’ve won over 1.5 million customers in Home, Motor and Pet insurance and have been ranked the UK’s No.1-rated home insurer by Review Centre since 2013. 🏆

Hear from our team about what it's like working at Policy Expert ✨

What you’ll be doing:

We are looking for a highly commercial, analytically strong Retention Commercial Manager to take full ownership of our retention strategy and deliver a step change in performance. This role is ideal for an individual who thrives on autonomy, is comfortable setting their own agenda, and is motivated by creating tangible commercial impact.
You will define the roadmap, lead data-driven decision making, and work cross-functionally to improve customer retention, lifetime value, and overall customer experience across our UK insurance portfolio.

Own the Retention Strategy & Roadmap

• Set and deliver the end-to-end retention strategy, ensuring it aligns with commercial, pricing and customer goals.
• Define the retention improvement roadmap and take accountability for execution and measurable performance uplift.
• Proactively identify commercial opportunities to enhance retention, profitability, and customer lifetime value.

Deliver Data-Driven Insight & Performance Leadership

• Monitor, analyse and explain retention performance, customer behaviour and market trends.
• Build deep insight using internal and external data sources to identify opportunities, diagnose issues and steer action.
• Lead trading/retention performance discussions, presenting clear, insight-driven recommendations to senior stakeholders.

Shape the Customer Experience

• Optimise the renewal journey across digital, documentation, comms and operational processes.
• Partner with Pricing, Operations, Propositions, Risk and other teams to test, develop and launch initiatives that improve renewal outcomes.

Drive Commercial Impact

• Use data and commercial instinct to make confident decisions in ambiguous or fast-changing conditions.
• Support the development of price tests, customer interventions and targeted trading actions.
• Ensure initiatives deliver against KPIs including retention rate, loss ratio, risk mix and customer lifetime value.

Cross-Functional Influence & Leadership

• Act as the business’ subject matter expert for customer retention.
• Bring stakeholders together to align on performance, priorities and actions.
• Communicate complex insight in simple, compelling language to senior leaders.

Who are you: 

• Proven experience improving customer retention performance, ideally within UK general insurance.
• Highly numerate with strong analytical capability—comfortable working with large datasets, MI, and complex commercial drivers.
• Ability to derive insight quickly and translate data into actionable initiatives.

• Comfortable working independently, setting your own agenda, and leading delivery without close direction.
• Natural curiosity and a proactive approach to uncovering new insight or opportunities.

• Ability to balance long-term strategic thinking with hands-on delivery.
• Commercial instinct to make impactful decisions in uncertain or dynamic trading environments.

• Strong communication and stakeholder management skills, with the ability to challenge, influence and gain buy-in at senior levels.
• Experience collaborating across Pricing, Operations, Marketing, Risk or Propositions functions.

Desirable Skills - Not Essential

• Experience with analytical tools (e.g., SQL, Python, Tableau, advanced Excel).
• Understanding of pricing models, customer behaviour dynamics and renewal performance levers.
• Background in regulated financial services environments.

Why This Role Matters
This is a high-impact role where you will own one of the most critical drivers of growth and profitability, shaping the future of our customer experience and ensuring we deliver exceptional value for customers and the business.

Benefits:

📍 This role will be based in our London office in a 50/50 Hybrid mode.

💸 We match your pension contributions up to 7%

🏥 Private medical & Dental cover

📚 Learning budget of £1,000 a year + Study leave (with encouragement to use it)

😁 Enhanced maternity & paternity 

🚉 Travel season ticket loan

🎟️ Access to a wide selection of London O2 events and use of a Private Lounge

🌈 Employee Wellbeing Programme

🚪 Prayer room in Office

What We Stand for and Next Steps

 “We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit based solely on an individual’s skills, knowledge, and experience. The quality and growing diversity of our team is a testament to this commitment” 

At Policy Expert, we are committed to fostering an inclusive and supportive environment for all candidates. If you require any reasonable adjustments during the interview process to accommodate your needs, please do not hesitate to let us know. We are dedicated to ensuring every candidate has an equal opportunity to succeed and will work with you to provide the necessary support.

We aim to be in touch within 14 working days of your application – you will be notified if successful or unsuccessful. Please be encouraged to apply even if you do not meet all the requirements.

Useful links:

Glassdoor | Trust Pilot | Best Companies

Senior Engineer

Location: Waterloo, London, England, UK | Hybrid (1 day per week in office)

Who We Are 

At 8th Light, we bring life to the best ideas.

Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimise our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. 

Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients.

If this kind of work and our kind of people energizes you, you’ve found the right place. 

Who You Are

You’ve shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have:

• Successfully contributed to high-stakes consulting engagements from discovery to production 
• Written production-quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
• Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served 
• Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate
• Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) 
• Used context-appropriate automated testing to inform software design choices and catch bugs
• Debugged and refactored pre-existing code to incrementally improve it
• Collaborated with teams using Git, MacOS/Linux, and CI/CD
• Remedied architecture-level concerns such as scalability, security, reliability, and performance
• Contributed to forums that encourage idea sharing, collaboration, and problem solving
• Made thoughtful recommendations and set direction in the face of ambiguity
• Mentored and shared knowledge with colleagues
• Actively sought out and effectively given feedback
• Communicated empathically with stakeholders and colleagues
• Influenced stakeholders to balance technical considerations with product and user needs

What You’ll Do At 8th Light

As a senior technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for:

• Making immediate contributions to projects, rapidly building trust with your clients and team
• Working pragmatically to balance technology choices while delivering high-quality work within deadlines
• Contributing to architecture and software design discussions
• Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
• Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients
• Contributing to formal feedback conversations with teams and clients via retrospectives
• Clearly articulating and documenting outcomes and driving forward action items
• Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions
• Identifying, mitigating, and resolving blockers to team progress
• Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry 
• Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate

Strongly Preferred Skills

We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas:

• MLOps: including tools like LangChain for application development and managing the ML lifecycle
• Data Engineering: including platforms like Databricks for data processing and analytics
• DevSecOps & DevOps
• Infrastructure as Code

Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. 

How You’ll be Supported

At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. 

Our wellness package is designed with the Whole YOU in mind and includes:

• A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.
• Coworking support for our global team
• 12 weeks of new parent leave available for eligible employees
• Transparent semi-annual promotion panel

See our full list of Benefits. 

A Note on Compensation

At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs.

We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Senior Engineer position within London is: £56,640-£70,800 GBP.

Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market.

8th Light Hubs and Geographies

8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. 

• London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.

We hope to see you apply! 

_#LI-Hybrid

This role supports the delivery of Sotheby’s Shipping function, ensuring the provision of high-quality logistics services to both clients and internal stakeholders. The position is responsible for providing integrated expertise across all pre-sale logistics activities, ensuring the timely, cost-effective, and compliant movement of property in line with all applicable laws and regulations.

The role involves liaising with external vendors to procure and coordinate logistics services for the movement of fine art and rare objects. This includes inbound shipments (domestic and international), inter-office transfers, domestic movements, travelling exhibitions, and RTC (Return to Consignor) shipping quotes and coordination.

RESPONSIBILITIES

Inbound, Domestic and Transfer Shipments

• Arrange all inbound shipments and associated logistics requirements in a timely and cost-effective manner
• Manage and resolve all enquiries relating to inbound and domestic shipments through to successful conclusion
• Monitor and action shipping quote requests within agreed timeframes
• Support the management of the Shipping Imports inbox, ensuring all communications are actioned appropriately
• Obtain and evaluate quotes from approved shipping partners and service providers, selecting the most suitable option based on cost, service, and compliance
• Assess shipment requirements (including packing specifications) and ensure accurate system entry and validation
• Classify goods appropriately, including the allocation of tariff and customs procedure codes
• Ensure the correct import methodology is applied for all international shipments
• Prepare and submit CITES licence applications, where applicable
• Prepare and submit Cultural Export applications, where applicable
• Advise clients on retrospective customs entry requirements, ensuring risks and obligations are clearly communicated and managed
• Liaise with HM Revenue and Customs and customs brokers, issuing clearance instructions where required
• For accepted pre-sale consignments shipped under Sotheby’s account, coordinate with vendors to arrange packing, transport, security, and shipping instructions
• Proactively monitor shipment progress, identifying and resolving issues while keeping all stakeholders informed
• Ensure all shipments comply with relevant legal, regulatory, and internal requirements
• Coordinate with Shipping teams across global selling locations to facilitate efficient transfers
• Identify opportunities for shipment consolidation to optimise cost and efficiency
• Maintain accurate and complete documentation for all inbound and transfer activity
• Conduct pre-sale VAT checks for allocated sales

RTC (Request to Collect) Support

• Manage and respond to RTC shipping quote requests, ensuring accurate and timely pricing is provided to clients and internal stakeholders
• Liaise with shipping partners to obtain competitive and compliant quotations for collection, packing, and transport
• Assess logistical requirements, including regulatory, customs, and licensing considerations, prior to issuing quotes
• Ensure all RTC quotes are clearly communicated, commercially accurate, and aligned with client expectations
• Submit Cultural Export Licence applications and follow up as required
• Monitor the status of RTC requests through to acceptance, ensuring smooth transition into execution where applicable
• Collaborate with Pre-Sale Coordinators and Client Accounts Receivable to ensure consistency and efficiency in the RTC process

Travelling Exhibitions (TRAVEX)

• Partner with Pre-Sale Administrators to manage exhibition timelines and ensure all deadlines are met
• Prepare and maintain exhibition property lists, ensuring accuracy and timely distribution
• Liaise with Risk teams to ensure appropriate security and insurance measures are in place
• Coordinate logistics planning, including schedules, transport arrangements, and documentation pre-alerts
• Prepare ATA Carnets and track documentation to meet exhibition deadlines
• Submit Cultural Export Licence applications and follow up as required
• Prepare all export documentation, including commercial invoices, packing lists, letters of instruction and relevant licences
• Coordinate with Galleries & Logistics teams regarding packing, installation, storage, and technical requirements

General Responsibilities

• Collaborate closely with the wider Service Operations team to deliver a consistent and high-quality client experience
• Arrange hand-carry shipments, including customs support, security escorts, and documentation
• Maintain accurate and timely document management (scanning, filing, and record keeping)
• Raise and manage purchase orders, ensuring invoices are processed efficiently
• Provide input on vendor performance, supporting service level management and KPI tracking
• Ensure full compliance with all import/export regulations, internal policies, and audit requirements

IDEAL EXPERIENCE & COMPETENCIES

• Strong knowledge of international logistics, including packing methods, transportation, customs procedures, and regulatory compliance
• Demonstrated understanding of import/export controls, licensing (e.g. CITES), and VAT/duty considerations
• Highly organised with strong prioritisation and time management skills
• Proactive, solutions-focused approach with the ability to work in a fast-paced, deadline-driven environment
• Excellent client service skills, with the ability to remain composed under pressure
• Strong communication skills, with the ability to engage effectively at all levels of the organisation
• Ability to work both independently and collaboratively
• Quick learner with the ability to apply knowledge effectively
• Experience in fine art logistics is highly desirable
• Experience with SAP (including customs or logistics modules) is advantageous
• Additional language skills are beneficial

The Company is an equal opportunity employer.  All employment decisions and personnel actions at the Company are administered without regard to race, color, religion, sex, sexual orientation, marital status, creed, national origin, age, disability, genetic predisposition, natural hair or hairstyle, reproductive health, partnership status, sexual orientation or alienage or citizenship status, transgender status, domestic violence victim status, military or veteran status, or status in any group protected by applicable federal, state or local law.  This policy applies to all terms and conditions of employment, including but not limited to, hiring, placement, promotion, termination, transfer, leaves of absence, compensation, and training.

The Role

At Cognism, the security of our data, our systems and our clients’ systems is a business priority. Information security is embedded in the way we work, and we are driving a culture where the fastest path is the securest path. As the function continues to mature, we are now hiring for a Director of Security Engineering & Operations to report directly to our CISO. In this role you will own and drive the technical security strategy for Cognism’s web and data products, as well as our corporate environment. You will be responsible for designing a security programme that protects our most sensitive assets: our data, our data fusion engine and the logic that powers it. As a trusted partner to our R&D leadership team you will help to define and drive the long-term security engineering maturity roadmap, driving alignment across engineering leaders, product leadership and IT. If you’re energised by the idea of shaping measurable security processes and controls, from the ground up, aligning engineering around secure-by-design principles, and elevating operational excellence, then this is the role for you. This is a rare opportunity to define the technical security vision for a dataintensive product at a moment where AI, scale, and engineering velocity are creating new and exciting challenges. You will shape how Cognism builds securely for the next decade.

What success looks like

Within 12 months, you will have:

• Delivered a unified security engineering roadmap aligned with engineering leadership.
• Matured secure SDLC adoption across Web and Data engineering.
• Improved MTTD/MTTR through stronger SOC operations.
• Invested in and mentored a team with clear ownership, KPIs, and engineering trust.
• Reduced engineering friction by creating pragmatic, developerfriendly guardrails

What You'll Own

Security Strategy & Engineering Integration

• Define and own Cognism's technical security strategy that seeks to embed security-by-design within our web and data products, our data fusion engine and pipelines, and our corporate landscape. You will drive a strategy that is pragmatic, risk-ranked, and aligned to engineering velocity.
• Work directly with product and technology leadership as a strategic partner. You will drive ownership and accountability, clearly agreeing ways of working between your team and product and technology teams.
• Set and direct a secure SDLC strategy that engineers engage with, coaching and mentoring our application security engineer with running our threat modelling program, embedding security in CI/CD, and iteratively improving our vulnerability management processes.
• Partner with engineering leadership to ensure risk-driven supply chain management across our product, ensuring what we bring in doesn't undermine what we protect.
• Work directly with our Director of IT operations to ensure our corporate security posture is mitigating risk and empowering our employees to be as secure as possible, through guardrails that protect unacceptable risk but don’t stifle innovation.

Data & AI Security

• Partner with our VP of Data Engineering to strengthen the security of our enrichment engine, data pipelines, and warehouse ecosystems.
• Direct a strategy that considers security across the full data stack - from ingestion through to the warehouse - with a focus on access governance, data classification, and secrets management as non-negotiables.
• Define how Cognism embeds AI securely as LLMs and agentic workflows move deeper into the product and our technology teams’ operations.
• Partner with our CISO to shape and implement an AI security posture that is embedded in strong security foundations, helping us stay ahead of the threat landscape rather than reacting to it.

Detection, Response & SOC Partnership

• Own the strategic relationship with our 24/7 outsourced SOC holding them to a high standard on threat hunting, threat intelligence utilisation, and automated response, not just SLA compliance.
• Ensure Cognism has a holistic, well-maintained SIEM that reflects how we operate and improves continuously as the threat landscape evolves.
• Build the internal team into a trusted escalation layer, with clear incident response playbooks, rehearsed escalation paths, and a feedback loop that sharpens detection over time.

Team & Culture

• Lead a team of application and infrastructure security engineers, setting the standard for technical excellence and deep partnership with their engineering counterparts.
• Build a security culture where developers raise security questions early, understand threat models, and own remediations, not because policy requires it, but because the culture makes it natural.
• Be the security leader Cognism's engineers want in the room: credible enough to be trusted, collaborative enough to be included, and strategic enough to make it count.

What We Need

Leadership & influence

• Demonstrated experience building security programmes from scratch or transforming them significantly in a product-led, engineering-first company.
• A track record of influencing engineering culture and earning trust, not enforcing it.
• Experience managing external security partners, (e.g 24/7 Security Operations Centre, penetration testing 3rd parties) and raising their performance through clear accountability, not just contract reviews.
• Able to communicate risk in business terms to exec and board audiences, and technical terms to engineers, without losing precision in either direction.

Technical foundation

• Strong AppSec expertise (OWASP, API security, SAST/DAST, SDLC) with practical threat modelling experience – enough to challenge and coach our most senior application security engineers.
• Handson understanding of data security, cloud data warehouses, and pipeline integrity – enough to ensure we are driving the right programme of work across our technology department.
• Cloud security fluency with working knowledge of container and Kubernetes security, IAM design, and cloud-native security tooling – enough to clearly identify, prioritise and challenge solutions for implementing security in our cloud environment.
• Working knowledge of AI/LLM security risks: enough depth to assess integrations, define guardrails, and evolve the programme as the technology does.

Mindset

• Risk-based by instinct: prioritises based on both technical and business impact
• Builder mentality: energised by creating structure where there isn't any, pragmatic about sequencing, and focused on outcomes over coverage.
• Genuinely curious about AI, not just its security risks, but its potential to improve how security is done.

Project Overview

This is a cutting-edge initiative to integrate Large Language Models (LLMs) with WorldQuant's proprietary strategy management tools. The project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for Portfolio Managers to more efficiently analyze, maintain, and enhance their trading strategies. This involves building foundational infrastructure, developing robust data pipelines for metrics and features, and creating a secure, user-centric interface with a strong focus on protecting intellectual property.

The Role:

We are seeking a talented and motivated Full-Time Software Engineer to play a key role in the development and enhancement of this AI-driven platform. You will be responsible for designing, building, and maintaining critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform. This includes enhancing existing MCPs, such as our proprietary command-line interface for strategy data, developing new MCPs for internal data system integration, strategy analysis, and performance metrics, and contributing to the secure and effective use of LLMs.

Key Responsibilities

• Design, develop, test, and deploy robust and scalable MCP servers and related tools in Python.
• Enhance existing MCPs, including our internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.
• Develop new MCPs, including but not limited to MCPs for direct data system integration, MCPs for strategy analytics, and MCPs for performance reporting.
• Design and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing the risk of intellectual property leakage.
• Collaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.
• Work on API development and integration, ensuring seamless data flow between different systems (internal knowledge management systems, simulation systems, data warehouses).
• Implement data parsing and manipulation logic for various formats (JSON, CSV).
• Contribute to the design and implementation of data pipelines for strategy metrics and features.
• Address and resolve bugs and issues in existing MCP tools and infrastructure.
• Participate in code reviews, and contribute to unit and integration testing efforts.
• Create and maintain technical documentation for developed components.
• Stay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.

What You’ll Bring:

Core Skills:

• Strong proficiency in Python programming.
• Proven experience in API development, integration, and consumption.
• Solid understanding of database interaction, data access patterns, and data modeling.
• Experience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).
• Understanding of or experience with prompt engineering principles for Large Language Models
• Awareness of data security and intellectual property protection considerations in the context of AI and LLM applications

Domain-Specific Knowledge (Highly Beneficial):

• Familiarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).
• Experience with quantitative trading systems, market data systems, or strategy management platforms (familiarity with internal data systems or command-line data tools is a significant plus).

Technical Environment Familiarity (Helpful):

• Experience working in a Linux environment.
• Understanding of Command Line Interface (CLI) tools and development.
• Familiarity with version control systems (e.g., Git).

Soft Skills

• Excellent problem-solving and analytical skills.
• Strong collaboration and communication skills, with the ability to work effectively in a team.
• High attention to detail and commitment to delivering high-quality software.
• Ability to learn quickly and adapt to new technologies and complex systems.

Education

• Bachelor's or Master's degree in Computer Science, Engineering

Location: Miami, FL | London, UK | Remote (US)

The Problem and the Role

OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions.

We are seeking a Developer Experience Lead, who will report to the head of Product Growth, to own the entire developer-facing surface of our platform, from documentation to integration support to API governance. We have built a world-class financial engine, but how external developers experience that engine has no owner. This role fills that gap.

This is a foundational role. You will be the first hire in this function. You will architect the documentation ecosystem from the ground up, define the processes that keep it accurate as the platform evolves, and directly support the clients who integrate with our APIs. Over time, you will shape how Developer Experience operates as a discipline at OpenFX, influencing product decisions, integration strategy, and the developer journey end-to-end.

You will set the bar higher than industry standards, building a knowledge system that turns complex FX liquidity and cross-border payment flows into a Hello World integration in under 15 minutes.

What You'll Actually Do & Own

• Drive API Product Adoption: You own API adoption as a measurable outcome. You instrument the funnel from API key activation to first API call to first transaction to expanded endpoint usage. You set the baseline, define the targets, and drive the cross-functional work to move the number. Every quarter, more developers are activated, more endpoints are used, and integrations go deeper. This is what you are accountable for, not pages shipped.
• Architect the Documentation System: Documentation is the primary adoption surface. You own the information architecture and the words. You design the taxonomy that scales from a simple Quickstart guide to complex Treasury Operations references. You determine how we version, layer, and present information so it does not collapse under its own weight as the platform grows. You build it on docs-as-code infrastructure that engineers can contribute to. You measure documentation by whether it moves adoption, not by completeness for its own sake.
• Own the OpenAPI Workflow: Your first technical priority is aligning the OpenAPI spec to production reality. Then you implement and enforce a contract-first governance model where the spec is treated as a product contract, not a generated afterthought. Spec linters run in CI as merge blockers. OpenAPI updates are part of engineering's Definition of Done. Breaking changes are detected automatically and routed through a defined deprecation process. You sit in Product and Engineering reviews as the First User: if an API is too hard to explain in writing, it is too hard to use, and you have the authority to push back before code ships.
• Drive Developer Advocacy: You are the external voice of OpenFX inside the developer community and the internal voice of the developer inside OpenFX. You write technical content that earns developer trust: deep-dive blog posts on idempotency under retries, sample apps that demonstrate real cross-border payment flows, integration pattern guides for PSP, neo-bank, and treasury use cases. You build feedback loops that turn integration friction into product changes. As volume justifies, you represent OpenFX at developer-focused events, conferences, and partner enablement sessions. You are the reason developers choose OpenFX over a competitor whose docs they could not understand.
• Own Integration Triage: You are the technical front door for client integration questions during US business hours. You triage whether each issue is a documentation gap, an API design problem, or a code bug. You fix documentation gaps directly and route the rest to engineering with structured context. You build the repeatable onboarding playbook that turns one-off Slack threads into a scalable process. You partner with GTM, who owns the client relationship; you own the developer experience surface that surfaces during integration.

What Success Looks Like

• API Product Adoption: You own the adoption funnel from API key activation to first API call to first transaction to expanded endpoint usage. You instrument it, set the baseline, define the target, and drive the cross-functional work to move the number. This is the metric you are accountable for.
• Time to First API Call: Drops from around 3 days to under 15 minutes within 90 days. You own the Quickstart, code snippets, and onboarding tutorials that make this speed possible, and you advocate for the product changes needed to remove the rest of the friction.
• Instructional support tickets: reduced 40% within 90 days, with 42% of onboarding support requests as the baseline.
• Spec drift: no spec drift incidents that reach production. The OpenAPI spec stays aligned to production as the platform evolves.
• V1 Developer Portal: a public API doc portal (References, Guides, Changelog, sample apps) is live, searchable, and built on docs-as-code infrastructure. 100% of public endpoints have accurate request and response examples.
• Developer advocacy presence: a published cadence of technical content (deep-dive guides, sample apps, integration patterns) that builds developer trust and drives inbound adoption. Establish the baseline, grow it quarterly.
• DX roadmap: a written plan for SDK strategy, portal evolution, adoption analytics, and Agent Experience foundations and expansion (CLI, MCP)

Requirements

• 5+ years owning a developer-facing API product or platform. B2B or infrastructure. You drove a measurable adoption outcome, not just shipped pages. You can point to the integration experience you built, the funnel you owned, and the metric you moved.
• Direct client integration work. You have sat on integration calls with B2B or institutional clients, diagnosed friction live, and fed it back into product changes (not just documentation updates). You know what breaks during real integrations, not what should break in theory.
• Product instinct for API design. You have opinions on endpoint design, parameter naming, authentication UX, error response formats, idempotency keys, and SDK ergonomics. You have opinions on these calls and get changes shipped before code hits production.
• Engineering fluency. You read code well enough to extract logic independently. You understand distributed system concepts (latency, rate limiting, idempotency, eventual consistency, async patterns). You can sit in a code review and have something useful to say.
• Contract-first governance experience. You have implemented or enforced OpenAPI workflows where the spec is treated as a product contract, not a generated artifact.
• Financial services or fintech context. You know the difference between authorized and settled. You have worked on payments, trading, or banking APIs.
• Agent Experience instinct. You have shipped or experimented with MCP servers, agent-native SDKs, llms.txt, evaluation suites for LLM-driven API consumption, or other agent-readable API patterns. You have a point of view on what Developer Experience looks like when AI agents are first-class consumers.

Preferred

• Interactive docs experience: code playgrounds, Try It Now, in-browser sandbox.
• Multimedia documentation skills: video tutorials, sequence diagrams, architecture diagrams that complement written documentation.
• Developer advocacy or DevRel experience: you have written technical content for an external developer audience, shipped sample apps, or represented a product at developer events.

Why This Role?

• Foundational Ownership: You are the first hire in this function. You define the hiring standards, the voice, and the culture of Developer Experience at OpenFX. As the function scales, you lead the team.
• Greenfield Architecture: You are building the DX product from the ground up. You build the system right the first time, selecting the stack, the taxonomy, and the governance model from scratch.
• The Frontier of Finance: You will learn the inner workings of global finance (FX liquidity, settlement, treasury), and you will apply them to the new payment stack as well as the legacy rails of the past. Our technology is novel; you teach developers how to think about the future of money and define the vocabulary of the industry. 
• Where This Role Grows: The next milestone is Agent Experience. AI agents are becoming first-class consumers of APIs alongside human developers. As Developer Experience matures, you lead the expansion into agent-native tooling: MCP servers that expose OpenFX as agent-callable tools, SDKs and CLIs designed for both human and autonomous consumption, semantically structured documentation that LLMs can parse natively, evaluation suites that test whether agents can invoke OpenFX correctly from natural language, and sandboxing patterns that let agents transact safely. Few companies have a clear owner for what Agent Experience means at the API layer. You define this discipline at OpenFX, and you do it from a foundation of human Developer Experience that already works.
• The Team: You are joining a team of ex-Stripe, J.P. Morgan, and Kraken alumni.  We are backed by Accel, Atomico, M13, Northzone, Pantera, and we believe that our APIs are core to our product. 

The Role

As a Quant Developer at Man Group you will be part of one of our flagship teams in Man’s systematic trading arm - Man AHL. The team works hand-in-hand with Quant Researchers focusing on equity market neutral models. Your challenges will be varied, and will involve building new alphas and new trading strategies.

The Team

Quant Developers at Man Group are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.

Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.

 
Our Technology

Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++.

We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise ArcticDB (https://arcticdb.io/) our in-house developed DataFrame Database. Our technology list is never static: we constantly evaluate new tools and libraries.

 
Technology and Business Skills

At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists.

Essential

• Exceptional technology skills; recognised by your peers as an expert in your domain
• A keen interest and understanding of financial markets and instruments
• A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches
• Strong knowledge of Python
• Proficient on Linux platforms with knowledge of various scripting languages
• Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas
• Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms

Advantageous

• Experience of front office quantitative software development e.g. in a hedge fund or investment bank
• Experience of web based development and visualisation technology for portraying large and complex data sets and relationships
• Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow

 
Personal Attributes

• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
• Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
• Demonstrable passion for technology e.g. personal projects, open-source involvement
• Intellectually robust with a keenly analytic approach to problem solving
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Focused on delivering value to the business with relentless efforts to improve process
• Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike
• Confident communicator; able to argue a point concisely and deal positively with conflicting views

 
Working Here

Man Group has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader technology community.

• We host and sponsor London’s PyData and Machine Learning Meetups
• We open-source some of our technology. See github.com/man-group
• We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @ManQuantTech

We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity across teams, regions and business units.

• We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches
• We have annual away days and off-sites for the whole team
• As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano

We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.

The deadline for applying to this role is Monday 1st June 2026, end of day, anywhere on Earth. 

Team Description

The Human Influence team studies when, why, and how frontier AI systems influence human attitudes and behaviour. The team's mandate is to build a rigorous, world-class evidence base for the safe and responsible development of frontier AI. We measure the impacts of frontier AI systems on human users, to identify risks to human agency and wellbeing; and develop mitigation strategies. This includes research on persuasion, manipulation, deception, advice-giving, theory of mind, anthropomorphism, sycophancy, and socioaffective human–AI relationships.

Our team includes top technical talent from academia and frontier AI companies. Our projects combine methods from computational social science, AI safety and security, cognitive science, behavioural science, computer science, machine learning, and data science. Many of our projects involve conducting careful and rigorous human–AI interaction experiments and randomised controlled trials (RCTs). 

On our team, you will have the:

• Ability to run large-scale RCTs
• Access to API credits for autograders/agentic workflows and large compute budgets
• Opportunity to work with world-class talent
• Opportunity to lead-author or co-author publications

As an example of our work, we recently completed the largest-ever study on the persuasive capabilities of conversational AI, a large-scale study on how people use and follow personal advice from AI chatbots and a longitudinal study on how anthropomorphic AI facilitates human-AI relationship building.

Role Description

Successful candidates will work with our Research Scientists to design and run studies that answer these important questions. The role is particularly suitable for candidates with an interest in pursuing a research career (e.g. recently graduated MSc students or early-stage PhD students). We encourage applications from candidates who are excited about this opportunity, but who may not meet all the stated criteria.

We are especially excited about candidates with experience in one or more of these areas:

• Computer science, machine learning, AI
• Computational social science
• Data science, especially including natural language processing
• Human–computer interaction
• Psychology
• Cognitive science

This is a full- or part-time, fixed-term contract (6-months) in London.

Required Skills and Experience 

• Completed bachelor’s degree in a relevant field
• Knowledge about frontier models and how they are trained and evaluated
• Experience planning and conducting human experiments (ideally longitudinal and/or large-scale online studies)
• Strong coding skills (in Python and/or R)
• Strong knowledge of advanced statistical modelling methods (e.g. multilevel/hierarchical/mixed regression models)
• Strong verbal and written communication, experience working on a collaborative research team, and interpersonal skills
• Demonstrable interest in the societal impacts of AI

Desired Skills and Experience 

• Published work related to societal impacts of AI, evaluation of AI systems, or relevant work in a related field
• Experience working on model or system evaluations and other AI safety projects
• Experience evaluating or training multimodal AI models
• Experience fine-tuning language models
• Experience with reinforcement learning (especially RLHF or reward modelling)
• Enrolled in an MSc/PhD (or equivalent years of industry experience) in AI safety, computer science, data science, social or political science, economics, cognitive science, criminology, security studies, or another relevant field
• Front-end software engineering skills to build UI for studies with human participants

Nationality and Eligibility

We may be able to offer roles to applicant from any nationality or background. As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window).

Salary

In accordance with the salary figures below, this role has been specifically scoped at Level 3.

We're seeking a versatile Senior GenAI Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. 

Your Impact  

• Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments 
• Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation 
• Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language 
• Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics 
• Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations 
• Optimize model inference pipelines for performance, cost, and scalability in production environments 
• Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour 
• Collaborate with data scientists to productionize ML models and forecasting algorithms 
• Write comprehensive tests, including unit tests, integration tests, and prompt regression suites 
• Participate in code reviews, technical design discussions, and knowledge-sharing sessions 
• Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption 

 Your Qualifications 

• Software engineering experience with a focus on ML/AI systems 
• Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) 
• Experience building and deploying LLM-powered applications in production 
• Proficiency in front-end development with React, TypeScript, and modern web technologies 
• Understanding of RESTful API design, microservices architecture, and cloud infrastructure 
• Experience with prompt engineering, RAG systems 
• Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems 
• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines 
• Excellent problem-solving skills and attention to detail 
• Bachelor's degree in computer science, Machine Learning, or related field 

Preferred Qualifications 

• Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) 
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models 
• Experience with model serving frameworks (vLLM, TensorRT, Ray) 
• Background in forecasting, planning, or analytics applications 
• Familiarity with Anaplan or similar enterprise planning platforms 
• Experience with A/B testing and experimentation frameworks for AI features 
• Contributions to open-source ML projects or research publications 
• Experience with model observability tools (LangSmith, W&B, MLflow) 

 What Makes This Role Exciting 

• Lead a greenfield team building transformative AI capabilities from the ground up 
• Work on cutting-edge conversational and agentic AI technologies 
• Build user-facing AI features that directly impact how businesses plan and make decisions 
• Experiment with the latest GenAI models and techniques 
• Collaborate with talented engineers, data scientists, and product designers 
• Solve unique challenges at the intersection of AI and enterprise software 
• Grow your skills in both ML engineering and full-stack development 

#LI-SP1

We're looking for a hands-on GenAI Team Leader to build and lead our GenAI engineering team. You'll drive execution of our conversational AI and agentic AI roadmap, managing a team of talented engineers while remaining hands-on yourself. This role requires both exceptional leadership skills and the ability to roll up your sleeves and solve complex technical problems. 

This role is a hybrid position. You must be in our London office two days a week. 

Your Impact: 

• Lead, mentor, and grow a team of 5-8 GenAI engineers, fostering a culture of technical excellence, innovation, and delivery 
• Drive end-to-end execution of conversational AI features that enable users to interact with Anaplan models through natural language 
• Oversee the development of agentic AI systems that can autonomously analyze data, generate insights, and execute planning workflows 
• Own the team's delivery roadmap, working closely with product management to prioritize features and manage technical trade-offs 
• Establish engineering best practices for GenAI development, including testing strategies, evaluation frameworks, and deployment patterns 
• Lead sprint planning, technical design reviews, and retrospectives to ensure consistent delivery velocity and quality 
• Collaborate with AI Solutions Architects to translate architectural vision into executable engineering plans 
• Build and maintain CI/CD pipelines for GenAI applications, including automated testing and prompt regression suites 
• Partner with platform teams to ensure AI features integrate seamlessly with Anaplan's core infrastructure 
• Manage technical debt, refactoring initiatives, and platform improvements while maintaining feature delivery momentum 
• Recruit and onboard top engineering talent, conducting technical interviews and building a diverse, high-performing team 
• Communicate progress, risks, and technical decisions to senior leadership and cross-functional stakeholders 

Your Qualifications

• Software engineering experience with experience leading engineering teams 
• Strong hands-on experience building and deploying GenAI applications in production 
• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns 
• Experience with agentic frameworks and autonomous agent architectures 
• Proficiency in Python and modern software development practices (testing, code review, CI/CD) 
• Proven track record of delivering complex technical projects on time with high quality 
• Strong project management skills with experience using Agile/Scrum methodologies 
• Excellent communication and stakeholder management abilities 
• Demonstrated ability to mentor engineers and build cohesive, productive teams 
• Bachelor's degree in computer science or related field 

 Preferred Qualifications 

• Experience leading teams in fast-growing startups or enterprise software companies 
• Knowledge of financial planning, analytics, or business intelligence domains 
• Experience with RAG systems, vector databases, and semantic search 
• Familiarity with model fine-tuning, evaluation, and continuous improvement workflows 
• Background in distributed systems, microservices, or cloud-native architectures 
• Experience with TypeScript/React for full-stack AI applications 
• Track record of improving engineering velocity and team productivity metrics  

What Makes This Role Exciting 

• Lead a greenfield team building transformative AI capabilities from the ground up 
• Work on cutting-edge conversational and agentic AI technologies 
• Shape engineering culture and practices for Anaplan's AI organization 
• Join during a transformative phase as Anaplan embeds AI throughout its platform 

#LI-SP1

^{Enterprises trust our conversational AI platform to automate millions of customer interactions every day. Your mission is to define the strategy and lead the product group responsible for the end-to-end Enterprise experience across Building, Supervising, and Multichannel Execution. This includes the foundational tooling for creating, configuring, and optimizing LLM-powered agents (Building Experience), the interface and controls for human supervisors and quality assurance teams (Supervisor Experience), and the market-leading experience across all text surfaces like Webchat, WhatsApp, Email, and SMS (Chat/Multichannel Experience). We are looking for an ROI focused and strategic Group PM to own the product success of these three critical pillars, driving market adoption, platform stability, and establishing a unified, world-class experience for our largest customers.}

^{You will lead, mentor, and align multiple product, design, and engineering teams, translating frontier Agentic AI into intuitive, trustworthy, and scalable enterprise solutions that solve core workflow challenges for Builders and Supervisors while ensuring seamless end-user experiences. If you are motivated by driving organizational alignment, solving complex, at-scale platform problems, and transforming product vision into commercial reality, we want to meet you.}

^{Key Responsibilities}

• ^{Define and Lead the Enterprise Platform Vision and Portfolio Strategy. Establish a winning product strategy and unified architecture across the three core areas: Building Experience, Supervisor Experience, and Chat/Multichannel Experience. Define, monitor, and report on key business and product success indicators, driving continuous improvement across the entire portfolio to maximize ROI for our enterprise clients.}

• ^{Own and Deliver the End-to-End Roadmap. Oversee the entire product lifecycle for the platform portfolio - from discovery and strategic prioritization to iterative development, launch, and optimization. Ensure all product initiatives are aligned with the overarching Enterprise business strategy.}

• ^{Drive Organisational Alignment and Thought Leadership. Serve as the principal bridge between executive strategy, complex customer needs, and technical execution across multiple product teams. Champion new technical breakthroughs to challenge and redefine the future of conversational AI platforms and workflows in the enterprise space.}

• ^{Product Ownership for Three Pillars:}

• ^{Building Experience: Define the features and tools that enable internal teams and customers to rapidly create, configure, test, and deploy high-quality, LLM-powered agents at scale.}

• ^{Supervisor Experience: Lead the development of tooling for human oversight, reporting, quality assurance, and intervention workflows to ensure compliance and maintain service quality.}

• ^{Chat/Multichannel Experience: Guide the strategy for extending and unifying the agent experience across all text surfaces (Webchat, WhatsApp, Email, SMS, etc.).}

• ^{Integrate and Optimize Core AI Technology. Direct product requirements and evaluation frameworks to ensure our underlying LLM, RAG, and tool-calling pipelines are optimized for all platform components, driving consistency, quality, and performance at an enterprise scale.}

• ^{Lead Go-to-Market Strategy for Enterprise. Direct Go-to-Market collaboration, including the coordination of beta programs, launch kits, and pricing/packaging, to drive rapid rollout and platform adoption.}

• ^{Develop and Mentor Product Talent. Provide leadership, guidance, and mentorship to a team of Product Managers, fostering a high-performing, data-driven culture focused on maximum business impact.}

^Requirements

• ^{8+ years of Product Management experience, with a minimum of 3 years managing, mentoring, and leading a team of Product Managers across different product lines.}

• ^{Proven experience driving the product lifecycle for multiple, interconnected B2B or Enterprise SaaS products at scale.}

• ^{Exceptional ability to use qualitative customer insights and quantitative business data to define, validate, and evolve a portfolio-level product strategy.}

• ^{Demonstrated track record of being ROI-driven, maximising the impact of resources across multiple teams to bring the most value for customers and the business.}

• ^{Superior communication skills, with the ability to articulate complex strategies and results to executive leadership, technical teams, and external customers.}

• ^{Strong technical background. A Bachelor’s or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience in software development and products.}

^{Preferred Requirements}

• ^{Experience working on a global B2B or Enterprise SaaS product with a significant international footprint.}

• ^{Previous experience as a Group PM or Director-level product leader.}

• ^{Experience defining, measuring, and moving quantitative success metrics for sophisticated conversational AI, contact center, or B2B ML/AI platform solutions.}

• ^{Familiarity with enterprise-grade platform components, including contact center/CRM integrations, supervisor and analytics tooling, and core conversational AI/NLP technologies.}

^Benefits

^{💰 Participation in the company’s employee share options plan}

^{🏝 Tenure-Based PTO: You will receive 25 holidays when you join and will gain an additional 1 day after 2 years of service, then 1 day each year until capped at 32 holidays}

^{🏡 Flexible working from home policy}

^{🌎 Work from outside of the UK for up to 6 months each year}

^{🫂TELUS Health EAP 24/7 - offers you and your chosen family confidential, judgment-free support for any work, health, or life challenge}

^{🧡 Enhanced parental leave}

^{🚲 Bike2Work scheme}

^{📚 Annual learning and development allowance}

^{🏡 We’re all about making WFH work for you - that’s why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus!}

^{👨‍👩‍👧 Company-funded fertility and family-forming programmes}

^{🌸 Menopause care programme with Maven}

^{🏥 Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs}

^{🌎 Sabbatical Program: 5-week paid sabbatical available after 5 years of employment}

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

JOB PURPOSE

This role is part of our Creative & Media services. Our team is a vibrant mix of talents, ranging from Creatives, Influencer Marketers, Brand & Content Strategists to Account Managers, Programmatic and Marketing Automation Consultants. Together, we blend imaginative storytelling and performance-driven strategies with cutting-edge technology to create engaging digital experiences that build lasting relationships with our clients.

You are the commercial engine and primary sparring partner for one of our largest Tech client verticals. You’ll bridge the gap between complex Paid Media strategies and the client’s ambitious growth goals, ensuring our partnership feels less like a vendor and more like an extension of their own leadership team. Your mission is to support driving revenue into a 20% growth success story.

WHAT YOU'LL DO:

• Client Leadership: Act as the primary business partner for the client, building trust-based relationships at the senior level. 
• Growth Ownership: Drive a 20% YoY growth target by identifying commercial opportunities in Paid Media, Social Organic, LLM, and Influencer strategy. 
• Matrix Orchestration: Lead the "Trio" (Account, Program, Strategy), serving as the final decision-maker to ensure delivery matches client expectations. 
• Strategic Sparring: Challenge the client and internal teams with "Growth Invention" ideas, moving beyond execution to strategic impact. 
• Commercial Governance: Own the P&L, SOWs, and profitability for the Business Group. 

WHAT YOU BRING:

• Media Pedigree: A deep, must-have understanding of integrated Paid Media (Social, Programmatic, Search). 
• Agency DNA: Proven experience managing complex, multi-workstream accounts in a global agency or consultancy environment. 
• A confident, outgoing, and positive personality. 
• You are a natural people person who builds chemistry instantly. 
• Challenger Mindset: You aren't afraid to have sensitive conversations or reset expectations when budgets or timings shift. 
• Social Fluency: Experience or strong exposure to Social Organic and Influencer ecosystems.

WE OFFER

• A flexible, hybrid working policy
• The choice of medical healthcare providers (Bupa or Medicash) 
• 25 days holiday plus bank holidays and your birthday off each year
• Company pension scheme 
• EAP scheme
• Ride to work scheme 
• Enhanced family friendly policies
• Buddy Program: You will be paired with a ‘Buddy’ to help you through your first weeks’ at DEPT®
• A reputation for doing good. DEPT® has been a Certified B Corp® since 2021 and named ‘Agency of the Year’ at both The Lovies and The Webby Awards.
• Awesome clients. Whether big or small, local or global — at DEPT® you’ll get the opportunity to work with clients of all sizes and across all industries. And we celebrate all of our successes together!
• The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
• Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Research Scientist in Science

Founded in 2014, InstaDeep is today an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Berlin, Tunis, Lagos, Dubai, Cape Town and the USA. InstaDeep has been named among the Top 100 global AI startups for three consecutive years by CB Insights, as well as one of the 100 most promising B2B companies in Europe, by Sifted. We have created an environment that ensures a challenge by working closely with a broad spectrum of high-quality clients, pushing you to thrive in an environment that’s rarely tedious and always looking to push you to come up with outside-the-box solutions using cutting-edge technologies. In our mission to stay ahead of the curve, we are proud to partner with firms such as BioNTech SE, Google DeepMind, NVIDIA and Intel, and world-class universities such as MIT, Oxford, UCL, and Imperial College London. We are also an NVIDIA Elite Service Delivery Partner and Google Cloud Partner.

Are you a Research Scientist in Science? You will contribute to knowledge in different fields, and plan and conduct experiments to help expand the canon of the company's scientific knowledge.

If so then keep reading…. 

As a Research Scientist in Science, you’ll be a part of the Research department, 

The Research Scientist in Science must accomplish the following:  

• Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology.
• Engage and assist in the identification of research directions
• Contribute to the design and implementation of models, tools and libraries to accelerate our research effort.
• Adapt neural network algorithms to deploy on supercomputing architectures to best exploit modern parallel environments 
• Report and present experimental results and research findings clearly and effectively, both internally and externally, verbally and in writing. 
• Contribute to the team’s publication efforts.
• Bridge the gap between the research and product teams by integrating new fundamental research into applied projects. 

Requirements:  

• Ph.D. degree in Computer Science, Machine Learning or a related field.
• Experience using Deep Learning frameworks such as PyTorch, Tensorflow and/or Jax.
• Experience in developing and debugging in Python3 or similar languages.
• Experience with high-performance computing methods and frameworks such as MPI, Ray (distribution on clusters of CPUs and accelerators)
• Experience in planning and conducting research works
• A demonstrated ability to successfully deliver high-quality research, including publishing scientific papers (ICLR, NeurIPS, ICML, etc).
• Excellent communication skills and collaborative spirit.

Nice to haves

• 2-5 years experience

• Software engineering experience demonstrated via previous work, and contributions to open source or coding competitions.
• Reinforcement Learning, Computer Vision, or Natural Language Processing experience.

Our Diversity, Equity, and Inclusion commitments

We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this by other than by joining our team? 

At present, we operate in a hybrid work model of two days mandatory a week in the office. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.

Right to work: Please note you will require the legal right to work in the location you are applying for. 

If you have any further questions please do not hesitate to contact us at: talent@instadeep.com

SLSQ327R186

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

• London 
• Munich
• Paris 

Databricks is seeking a Genie + AI/BI Sales Specialist to help enterprise customers transform how business users interact with data. This high-impact role sits within the AI Go-To-Market team and partners closely with Enterprise Account Executives to drive adoption of Databricks AI/BI and Genie. You will help organizations move beyond static dashboards to governed, conversational, AI-powered analytics at the center of the convergence of business intelligence, data platforms, and generative AI.

Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform. If you want to be at the forefront of AI-powered analytics transformation at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have:

• Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities
• Engage C-level, analytics, and line-of-business leaders to modernize analytics strategies
• Displace or expand legacy BI platforms with AI-powered, governed analytics solutions
• Lead conversations around semantic governance, self-service analytics, and natural language data access
• Drive proof-of-value engagements and scale enterprise-wide adoption
• Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)
• Enable field teams and serve as a subject matter expert on modern analytics architectures

What we look for:

• Enterprise sales experience in BI, analytics, data platforms, or AI/ML
• Strong understanding of modern analytics architectures and data governance
• Ability to sell to both technical and business stakeholders
• Executive presence and experience navigating complex buying cycles
• Passion for AI and the impact of GenAI on enterprise analytics
• Experience operating in a specialist or overlay sales model
• Ability to translate technical capabilities into clear business value
• Strong Enterprise Sales experience, exceeding quotas in larger accounts
• Bachelors Degree or equivalent experience 

This is a rare opportunity for a visionary leader to help define and build a critical part of our global marketing transformation engine. As Head of Agentic AI at VML MAP, WPP's global center of excellence for CRM, loyalty, and personalization,  you will lead the charge in translating agentic AI from experimental technology into scaled, outcome-based transformation for some of the world's most admired brands. This is not a research role or an internal innovation title. You will work directly with CMOs, COOs, and CIOs at enterprise clients, architecting multi-agent systems that redesign how marketing, data, and operations work, with humans in the loop and measurable business outcomes at the center. You will have the backing of VML's global network, WPP Open's platform capabilities, and a senior leadership team committed to redefining an industry.  If you want to build something genuinely transformative and you're ready to do it at scale, this is the role. 

What will your day look like?

• Shaping Executive-Level Strategy & Vision: Directly engaging with C-suite clients (CMOs, COOs, CIOs) to co-create their long-term marketing, data, and operations strategies, positioning agentic AI as the core driver of their future transformation. 

• Orchestrating Global AI Transformation Programs: Defining the strategic roadmap and overseeing the execution of multi-million dollar, multi-year agentic AI programs, ensuring alignment across client organizations and VML's global network to deliver measurable, industry-redefining outcomes. 

• Building & Nurturing Strategic Partnerships: Forging deep relationships with key stakeholders across WPP Open and VML's global ecosystem to unlock cutting-edge capabilities and secure the necessary resources and intellectual capital to deliver groundbreaking client solutions. 

• Defining and Validating Outcome Frameworks: Establishing robust frameworks for measuring the transformative business impact of agentic AI deployments, continually refining strategic approaches based on high-level performance data and market intelligence to ensure continuous value creation. 

• Pioneering the Future of Agentic AI: Acting as a leading voice and architect in the field, influencing industry discourse, identifying emergent opportunities for applying agentic AI at scale, and continually pushing the boundaries of what's possible for some of the world's most admired brands. 

What do you bring to the table?

• Visionary Leadership: Proven track record in leading, scaling, and inspiring high-performing AI/ML teams, ideally within a global or client-facing consultancy environment. 

• Deep Agentic AI Expertise: Extensive hands-on experience and a profound understanding of agentic AI systems, multi-agent frameworks, large language models (LLMs), and related tooling (e.g., LangChain, AutoGen, CrewAI). You understand the nuances of orchestrating autonomous agents to achieve complex goals. 

• Exceptional Client Acumen: A natural ability to engage with, influence, and build strong relationships with senior-level global clients. You can expertly translate complex technical concepts into clear business value propositions and drive strategic conversations. 

• Strategic & Commercial Mindset: Demonstrated capability to identify, architect, and deliver agentic AI solutions that generate tangible business outcomes, competitive advantage, and significant ROI for clients. 

• Technical Authority: A robust technical background to guide sophisticated development efforts and uphold best practices across our multi-agent workflow implementations. 

• Innovation Driver: A fervent passion for staying at the absolute forefront of AI research, actively evaluating emerging technologies, and pushing the boundaries to develop proprietary agentic IP and methodologies. 

• Global Collaboration & Influence: Experience navigating diverse international business cultures, collaborating effectively with global teams, and influencing strategic direction across multiple markets. You will also be adept at working with and leveraging the wider VML and WPP network to drive integrated solutions and opportunities. 

• Team Builder & Mentor: A commitment to attracting, developing, and retaining top-tier AI talent, fostering a culture of innovation, continuous learning, and technical excellence within your team. 

• Problem-Solving Prowess: A pragmatic, results-oriented approach to tackling complex, real-world business challenges with innovative and scalable agentic AI solutions. 

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

About the role

As a Senior Autonomy Engineer on the UK Engineering team, you will lead the design, development, and verification of high-performance autonomy solutions for the defense industry. You will write perception and planning algorithms, optimize performance, and develop robust system architectures. Collaborating with cross-functional teams, you will translate requirements into technical solutions while mentoring junior engineers. The role also involves continuous innovation, testing, debugging, documentation, while staying at the forefront of AI technology.

At Applied Intuition, you will:

• Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms and solutions for defense use cases
• Leverage established products at Applied Intuition to build the software and infra foundation for behavior-specific ML development.
• Tightly collaborate with perception and planning engineers on many cross-team initiatives
• Work closely with product managers to understand requirements and translate them into technical solutions
• Train and mentor junior engineers as we grow the UK team, fostering a culture of learning and improvement
• Stay updated with industry trends, emerging technologies, and best practices to enhance product development

We're looking for someone who has:

• Experience developing autonomous vehicle solutions for aerospace and defense
• Experience with the end-to-end development cycle of deep learning models
• Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization
• 5+ years of experience building production software using modern software practices
• Fluency in C++, or fluency in Python with intermediate experience in C++
• References who will describe them as low-ego, highly motivated, thoughtfully opinionated, strong communicators and curious listeners

Travel requirements:

• General willingness to travel for company business between our offices, as well as to customer sites

Security Requirements:

• Must have ability to hold UK Security Clearance (current or previous preferred)

Nice to have:

• Publications in computer vision, NLP, or robotics.
• Experience with drones and flight computers such as PX4.
• Experience in evaluating and improving system-in-the-loop model performance.

About the role:

Responsibilities: 

• Act as a consultative partner to customers—uncovering business objectives, technical environments, and operational challenges to map them to AI-driven solutions
• Act as a consultative advisor to prospective customers, uncovering operational workflows and strategic goals to design solutions leveraging Cresta’s real-time AI capabilities, including virtual agents, agent assist, and conversation intelligence
• Lead technical discovery sessions to understand customer systems, including contact center infrastructure, telephony and IVR architecture, and CRM/workforce management platforms.
• Qualify and translate customer requirements into robust, scalable Cresta configurations, ensuring tight alignment with business value and technical feasibility
• Design and deliver compelling, tailored product demonstrations that highlight how Cresta’s AI-powered virtual agents, real-time coaching, and analytics can deliver measurable business outcomes.
• Own the technical design and delivery of proof-of-value (POV) engagements, including integrations, real-time coaching workflows, and virtual agent use cases
• Run ROI workshops and build business case models that connect Cresta’s capabilities to quantifiable customer impact (e.g., cost reduction, efficiency, CSAT)
• Provide insights based on your experience with AI technologies, contact center transformation, and customer success strategies
• Serve as a technical liaison between Sales, Product, and Engineering—providing feedback on platform capabilities, customer needs, and market trends in AI, NLP, and contact center transformation
• Stay current on emerging technologies, including LLMs, SLMs, retrieval-augmented generation (RAG), speech recognition, and contact center AI platforms
• Deliver persuasive, tailored product demonstrations that showcase how Cresta’s AI—built on a proprietary architecture using large and small language models—drives measurable ROI through automation, efficiency, and improved customer outcomes
  
  

Qualifications We Value:

• 5+ years of experience in customer-facing roles, including 1–3 years in pre-sales, solutions engineering, or consulting within the enterprise software or contact center industry
• Deep knowledge of contact center solutions, including telephony architecture (SIP, SBCs, ACDs, IVRs) and CCaaS platforms (e.g., Genesys, NICE, Five9, Amazon Connect)
• Strong understanding of AI/ML technologies, especially large language models (LLMs), small language models (SLMs), and how they are applied in conversational AI and agent augmentation
• Experience with real-time systems, CRM tools (e.g., Salesforce), analytics platforms, and SaaS solution architecture
• Ability to design and communicate complex solutions clearly to both technical and business audiences
• Consultative mindset with a proven track record of leading strategic conversations, influencing stakeholders, and tailoring solutions to business goals
• Fast learner and self-starter who thrives in high-growth, high-collaboration environments
• Enthusiastic about Cresta’s mission and motivated to help customers unlock value from AI
  
  

Perks & Benefits:

We offer a comprehensive and people-first benefits package to support you at work and in life:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family
• Paid parental leave for all new parents welcoming a new child
• Remote work setup budget to help you create a productive home office
• Monthly wellness and communication stipend to keep you connected and balanced
• 20 days of vacation time to promote a healthy work-life blend

Compensation at Cresta 

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

This role is variable target compensation eligible. There is potential to exceed target earnings when goals are surpassed.  

OTE Range: $145,000 – $162,500 Pound Sterling + Offers Equity

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

 THE ROLE

Source and sell works for the Contemporary Art Sales, demonstrating extensive knowledge, passion and commitment to the field.

RESPONSIBILITIES

• Cataloguing and researching items for Contemporary Art Sales.
• Providing expertise, researching and cataloguing objects to the highest standard according to scheduled deadlines.
• Writing scholarly catalogue entries and condition reports.
• Assisting and co-ordinating research, both internally and with external experts.
• Assisting with paste-ups and layouts.
• Liaising with the necessary support departments.
• Sourcing works for sale, including overseas travel as appropriate.
• Aid in meeting sales and net profit targets for particular sales.
• Contributing to strategic long-term business development.
• Maintaining an exceptionally high level of client service, both internally and externally.
• Preparing proposals, valuations, estimates.
• Maintaining high levels of expertise and professionalism in all activities.
• Contributing towards authentication and all aspects of pre- and post-sale processes.
• Operating at all times in accordance with the company’s rules on compliance and corporate governance.

IDEAL EXPERIENCE & COMPETENCIES

• In-depth art market knowledge and awareness, with a focus on Contemporary Art.
• Degree holder or equivalent (Art-related masters preferable).
• Proven business acumen and developed valuation skills, with a functional working knowledge of the whole auction process, procedures & systems
• Ability to work effectively both individually and in a team and to 'pitch in' when required.
• Ability to work well under pressure and have a flexible approach to a wide range of tasks.
• Commitment to an exemplary level of client service, strong client relationship management skills and a sensitive approach to problem solving
• Possess high levels of integrity and be able to operate within corporate governance and legal framework.
• Good organisational skills with proven ability to work to deadlines.
• Excellent interpersonal and communication skills.
• Fluent in spoken and written English, ideally with an additional European language.

THE ROLE

To catalogue, research and co-ordinate for the CWOA sales and to assist in the general day-to-day functioning of the department.

RESPONSIBLITIES

• Cataloguing and researching items for CWOA sales:

• • Providing expertise, researching and cataloguing objects to the highest standard according to scheduled deadlines.
  • Assisting and co-ordinating research, both internally and with external experts.
  • Assisting with paste-ups and layouts.
  • Liaising with the necessary support departments.

• Writing scholarly catalogue entries.
• Writing and producing proposals for new business.
• Dealing with day-to-day client enquiries at the counter, by email and on the telephone.
• Writing condition reports and responding to estimate enquiries and general correspondence.
• Assisting with the maintenance of departmental archives and the library.
• Work with the Administrator, providing accurate information on all consignments and assisting them with the Inventory review.
• Operating at all times in accordance with the company’s rules on compliance and corporate governance, maintaining high levels of expertise and professionalism in all activities.
• Provide administrative support to the department specialists, including: typing correspondence and valuations maintaining files

IDEAL EXPERIENCE & COMPETENCIES

• Education to degree level in History of Art ideally with some knowledge and experience of CWOA
• First class research skills
• Fluent in Chinese Language
• The ability to work effectively individually and in a team and to ‘pitch in’ when required
• An eye for detail and a methodical approach
• Ability to work well under pressure and a flexible approach to a wide range of tasks
• Excellent interpersonal and communication skills and a commitment to an exemplary level of client service
• Self-motivated with enthusiasm to learn
• Strong organisational skills with proven ability of meeting deadlines
• Some understanding of Sotheby’s and its culture and services, and of the auction process in general
• Knowledge of at least one other European language, preferably German, would be advantageous.

Who we are

• Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung.
• Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts.
• Our 1,800 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients.

What you will be doing

As a Senior Data Scientist in our London office, your role will encompass:

• Designing and implementing advanced data science and machine learning solutions to solve complex business problems.
• Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees.
• Supervising and mentoring team members on code, deployment, and best practices.
• Architecting and deploying robust, scalable solutions using modern cloud technologies and MLOps principles.

Qualifications

Necessary education and experience

• Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
• Project & Team Leadership: Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders.
• Advanced Modelling: Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference.
• ML-Ops & Orchestration: Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines.
• Programming & Data Engineering: Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces.
• Cloud & DevOps: Hands-on experience with at least two major cloud providers (AWS, Azure, GCP), including app deployment, database services (e.g., RDS, CosmosDB), and infrastructure-as-code (Terraform). Solid understanding of CI/CD for testing and containerisation.

Desirable experience

• Advanced Education: A Master's degree or PhD in a relevant field is a strong plus.
• Parallelisation & Performance: Experience with parallelisation frameworks like Pyspark or Ray.
• Advanced Cloud & Infrastructure: Familiarity with serverless deployments (e.g., Fargate, Lambdas), infrastructure automation with Terratest or Ansible.

Who we are

• Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung.
• Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts.
• Our 1,800 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients.

What you will be doing

As a Senior Data Scientist in our London office, your role will encompass:

• Designing and implementing advanced data science and machine learning solutions to solve complex business problems.
• Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees.
• Supervising and mentoring team members on code, deployment, and best practices.
• Architecting and deploying robust, scalable solutions using modern cloud technologies and MLOps principles.

Qualifications

Necessary education and experience

• Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
• Project & Team Leadership: Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders.
• Advanced Modelling: Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference.
• ML-Ops & Orchestration: Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines.
• Programming & Data Engineering: Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces.
• Cloud & DevOps: Hands-on experience with at least two major cloud providers (AWS, Azure, GCP), including app deployment, database services (e.g., RDS, CosmosDB), and infrastructure-as-code (Terraform). Solid understanding of CI/CD for testing and containerisation.

Desirable experience

• Advanced Education: A Master's degree or PhD in a relevant field is a strong plus.
• Parallelisation & Performance: Experience with parallelisation frameworks like Pyspark or Ray.
• Advanced Cloud & Infrastructure: Familiarity with serverless deployments (e.g., Fargate, Lambdas), infrastructure automation with Terratest or Ansible.

Please send your CV to hr-uk@artefact.com

At Webflow, we’re building the world’s leading AI-native Digital Experience Platform, and we’re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.

We are looking for a Field Marketing Manager to help us build and own Webflow's field marketing presence across Europe - creating the programs, relationships, and a regional playbook that will fuel our next phase of growth.

This is a rare opportunity to be the person who builds Webflow's field marketing motion in EMEA from the ground up. You won't be inheriting a playbook — you'll be helping to author it. As our first field marketing hire in the region, you'll have the ownership, resources, and support of a talented North America-based events team behind you, a London-based cross-functional sales and marketing team beside you, and you’ll operate with the autonomy and entrepreneurial energy that comes with being boots on the ground in a high-growth market.

About the role:

• Location: London, UK (Hybrid)
• 2-3 days per week in-office
• Full-time
• Permanent
• The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. The specific base pay within this range will be determined by the candidate's geographic location, job-related experience, knowledge, qualifications, and skills.

This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

• Application Information:
• Application deadline: applications accepted on an ongoing basis until position is closed and filled
• This posting is for a new position
  
  
• Reporting to the Manager, Field Marketing

As a Field Marketing Manager, EMEA, you'll...

• Own the strategy, planning, and execution of Webflow's EMEA field marketing programs — including third-party sponsorships, executive dinners, roadshows, and partner events — while contributing to select global programs and initiatives
• Build and execute account-based marketing (ABM) plans in close partnership with the EMEA sales team, ensuring field programs are directly mapped to pipeline goals and top-account engagement
• Develop and maintain strong working relationships with EMEA sales leadership, acting as the connective tissue between field marketing activity and revenue outcomes in the region
• Manage program budgets end-to-end — building forecasts, tracking spend, and consistently delivering programs on or under budget without sacrificing quality
• Work cross-functionally with agencies, vendors, and contractors to bring events and programs to life, serving as the primary point of accountability for EMEA event quality and experience
• Track, measure, and report on field marketing performance across the region — including pipeline contribution, event ROI, and account engagement — and use those insights to continuously sharpen the regional strategy
• Help shape the global field marketing playbook by bringing EMEA learnings, market nuance, and regional best practices back to the broader team

About you:

Requirements:

• 5+ years of field marketing experience with direct ownership of EMEA programs, campaigns, and events
• Degree in Marketing, Communications, Business, or a related field or equivalent professional experience
• Demonstrated experience executing a range of field marketing formats  sponsorships, executive dinners, roadshows, partner events, and ABM programs — across multiple EMEA markets
• Proficiency in Salesforce and Marketo; experience with Bizzabo or a comparable event management platform
• Ability and genuine enthusiasm for international travel, with availability to support 20+ events per year across the EMEA region
• Business-level fluency in English; additional European language skills are a plus

You'll thrive as a Field Marketing Manager, EMEA if you:

• Are energized by building — you see an undefined market presence not as a lack of infrastructure, but as an opportunity to create something that lasts
• Operate with high autonomy — you're comfortable making decisions without a full playbook, and you know how to escalate what matters while moving forward on everything else
• Think in pipeline, not just programs — you connect field activity to revenue outcomes and hold yourself accountable to both
• Are a natural collaborator who knows how to work across time zones, cultures, and functions — rallying sales, partners, and a remote team around a shared goal
• Bring equal parts strategic thinking and operational excellence — you can zoom out to set a regional approach and zoom back in to make sure the signage is right at an event in Amsterdam
• Have genuine fluency in the mid-market and enterprise landscape, particularly when it comes to engaging heads of marketing and agency decision-makers
• Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact

Our Core Behaviors:

• Build lasting customer trust. We build trust by taking action that puts customer trust first.
• Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
• Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
• Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar.

Benefits

• Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
• Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
• Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
• Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
• Wellness for the whole you. Access to mental health resources, therapy and coaching.
• Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
• Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.

Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.

Be you, with us

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. 

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please review Webflow’s Applicant Privacy Notice.

What's the opportunity? 

Intercom’s Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

What will I be doing? 

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Deeply understand the problem area

• Research and identify the right algorithms and tools

• Being pragmatic, but innovating right to the cutting-edge when needed

• Perform offline evaluation to gather evidence an algorithm will work

• Work with engineers to bring prototypes to production

• Plan, measure & socialize learnings to inform iteration

• Partner deeply with the rest of team, and others, to build excellent ML products

What skills might I need? 

• Broad applied machine learning knowledge

• 3-5 years applied ML experience

• Practical stats knowledge (experiment design, dealing with confounding etc)

• Intermediate programming skills

• Strong communication skills, both within engineering teams and across disciplines.

• Comfort with ambiguity

• Typically have advanced education in ML or related field (e.g. MSc)

• Scientific thinking skills

Bonus skills & attributes 

• Track record shipping ML products

• PhD or other experience in a research environment

• Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering

• Strong stats or math background

• Visualization, data skills, SQL, matplotlib, etc.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up

• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

• Regular compensation reviews - we reward great work!

• Pension scheme & match up to 4%

• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

• Flexible paid time off policy

• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 

• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

• Relocation support for those moving to our offices

What's the opportunity? 

Intercom’s Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

What will I be doing? 

• Play an active role in hiring, mentoring and career development of other engineers

• Raise the bar for technical standards, performance, reliability, and operational excellence

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research - Deeply understand the problem area

• Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed

• Perform offline evaluation to gather evidence an algorithm will work

• Work with engineers to bring prototypes to production

• Plan, measure & socialize learnings to inform iteration

• Partner deeply with the rest of team, and others, to build excellent ML products

What skills might I need? 

• 5-8 years applied ML experience

• Previous background in a senior/staff role (data science, software development or academic)

• Significant, demonstrated impact that your work has had on the product and/or the teams

• Strong programming skills

• Experience as the primary technical leader for a team

• Strong communication skills, both within engineering teams and across disciplines.

• Comfort with ambiguity

• Typically have advanced education in ML or related field (e.g. MSc)

• Scientific thinking skills

Bonus skills & attributes 

• Track record shipping ML products

• PhD or other experience in a research environment

• Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering

• Strong stats or math background

• Visualization, data skills, SQL, matplotlib, etc.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

• Competitive salary and equity in a fast-growing start-up

• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

• Regular compensation reviews - we reward great work!

• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

• Open vacation policy and flexible holidays so you can take time off when you need it

• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 

• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

WHAT YOU'LL DO

As a Technical Account Manager, you will own the ongoing technical relationship through the entire lifecycle of customers in your portfolio, collaborating very closely alongside the Customer Success and wider account teams. This role will serve as a trusted technical advisor responsible for defining the Braze technology strategy for customers who have purchased the TAM premium service offering and helping them unlock value from their use of the Braze platform.

Your focus will be to drive value, retention, and adoption of Braze’s product through the customer lifecycle, acting as the technical counterpart between Braze and your client’s product and engineering team. You will be responsible for understanding your customer's needs and proactively driving forward technical initiatives that help your customers achieve their business goals. 

You’ll manage a portfolio of named accounts, typically in the Enterprise and Strategic classification of accounts, a tier of customers with enterprise organizational structures and architectures, posing unique geographical, scale, and complexity challenges.

This is an opportunity to bring your experience as a product and implementation expert, business analyst, problem solver, and customer success professional along with a high level of product and technical competence, delivering high-impact engagements that drive tangible outcomes for some of Braze’s most advanced customers.

• You’ll be responsible for client success, partnering with the Customer Success Team to own the technical relationship for your assigned accounts and help drive technical adoption, accelerated technical value, and continued technical maturity
• Help customers successfully instrument Braze across their stack and refine that instrumentation over time as their use of Braze matures and becomes even more valuable, which in turn contributes to renewals and upsells
• Facilitate conversations regarding the customers’ desired use case, conducting discovery, and recommending solutions based on their unique needs and architecture
• Support and advocate for day-to-day inquiries and requests to support optimization and value through the customer lifecycle
• Empower customer product and engineering teams to use our product as independently and efficiently as possible, communicating with customers and internal teams to explain products and solutions by delivering enablement and education
• Adopt governance practices such as creating solutions documentation and building architectural diagrams, and drive progress against key technical work streams through project management 
• Instill best practice and engineering excellence amongst your customer portfolio by validating product use cases and technical feasibility for product launch and translating the customers’ unique requirements to Braze’s Product team

WHO YOU ARE

• 3-5 years client-facing experience as a TAM or in a related technical area such in Implementation, Technical Support, or Solutions Architecture, for a product offering serving Enterprise/Strategic accounts
• 3+ years of technical experience in managing complex customer environments with strong product command and technical knowledge of two or more of the following: SaaS, Mobile, API, or Programming
• You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders
• You are a natural problem solver with a high level of intellectual curiosity and love working amongst a team to solve those problems
• You are able to maintain a high level of productivity, manage multiple competing priorities, and work effectively under the pressure of time constraints in a fast-paced, complex, and collaborative environment
• You may have bilingual skills beyond English that facilitate us talking with our global customer base in their native language. Please note that this is not a requirement for the role but something that we welcome in our team

About the Position

As a Staff AI Engineer, you’ll serve as a technical leader for our LLM-powered products at the forefront of marketing and advertising technologies. You’ll own critical architectural decisions, set quality bars, and lead multi‑team initiatives that drive measurable outcomes.

As our Staff AI Engineer, you will lead the vision and execution of our data platform and LLM-powered products. You’ll own critical architectural decisions across data pipelines, model integration, model deployment and evals: turning high-level product and business requirements into robust, scalable data products that drive measurable outcomes for our Fortune 500 customers. This role spans data backend and ML engineering: from the reliability and cost efficiency of our pipelines to the outcome and performance of LLM-enabled features. You’ll raise the bar for data literacy across the department, craft and collaboration.

You’ll be accountable for the health, cost, and evolution of key data product and data platforms, partnering closely with full-stack engineers, product, design, and devops to deliver outcomes our customers can trust.

This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications.

The role is linked with our location in London, but we are flexible about hybrid or remote work in The United Kingdom.

What You’ll Be Doing

• Lead end-to-end architecture for data platforms and pipelines: scraping, data extraction, transformation, storage, serving, and ML/LLM integration, balancing performance, reliability, security, and cost.
• Incrementally scale pipelines and systems: design safe rollout plans and north star data-quality metrics to handle customer and traffic growth without impacting production.
• Translate business goals into actionable data products: assess high-level requirements, carve clear problem spaces, draft crisp RFCs, and sequence work into deliverable projects for the team.
• Establish and enforce engineering standards: testing strategy, evals, observability, data contracts, and security practices across services. Think through short-term and long-term goals to come up with fast go-to-market products, while planning ahead for productization.
• Up‑level the org: lead architecture reviews, codify patterns, mentor Senior Engineers, and multiply impact through documentation, code reviews, and pairing.
• Startup‑ready: flexible, comfortable with ambiguity and constant change; proactive about process, documentation, and reliability without over‑engineering.
• Lead the collaboration and define how AI engineers work cross-functionally with software engineers, devops, product managers and designers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation.
• Ship meaningful experiments: prototype data/ML capabilities, evaluate feasibility and ROI, and make pragmatic calls on productionalizing with an eye on operating costs and risk.

Qualifications

• 8+ years building and operating production data systems, including leading cross-cutting architectural changes, and deploying LLMs in real‑world scenarios at scale.
• Deep experience Python and modern service architectures; strong system design and data modeling fundamentals.
• Extensive experience with training and deploying machine learning models, particularly within the NLP/LLM domain. Proficiency in Python. Familiarity with infrastructure as code, CI/CD, and cloud infrastructure.
• Fluency in operational maturity: SLOs, on‑call/incident practices, and observability.
• Strong analytical and problem-solving abilities, with a bias towards action and outcomes. Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team.

About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences. 

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York.  

Why Bluefish & Our Values:

• Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI 
• Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry 
• Join an experienced high-performing team where you will have immediate ownership and impact 
• Experience a true meritocracy with significant career growth upside as the business scales 

Our Values: