About Us

The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT.

Our Commitment to Diversity, Equity and Inclusion

We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups.

The Role Overview

We’re looking for a Senior Cyber Security Engineer to help mature application and cloud security across the FT’s cloud-native, AWS-hosted technology estate. This role has an approximate 50/50 focus across application security and cloud security, working closely with product, platform and engineering teams to make secure delivery easier by default.

You’ll shape and improve developer-friendly guardrails across GitHub-based CI/CD pipelines, AWS environments and infrastructure-as-code workflows. This includes improving SAST, software composition analysis, secret scanning, IaC scanning, vulnerability management and AWS misconfiguration management so that findings are actionable, low-noise and owned by the right teams.

Day to day, you’ll run practical threat-modelling sessions, review application and cloud designs, improve security playbooks, support vulnerability and misconfiguration remediation, and build automation that reduces toil. We’re looking for someone who has demonstrably improved security outcomes in real engineering environments, not just someone with theoretical knowledge of tools or frameworks.

Depending on team structure, you may also mentor or line-manage one or two security engineers, while remaining hands-on and close to the technical work.

What you’ll bring to the role

Application and cloud security experience: practical experience across both application security and cloud security, ideally in AWS-hosted, cloud-native environments.

Developer-friendly security mindset: you know how to work with engineers, explain risk clearly and design controls that help teams move securely without unnecessary friction.

Vulnerability management at scale: experience improving how application vulnerabilities, dependency risks, bug bounty findings, penetration test findings and advisories are identified, prioritised, owned and remediated across engineering teams.

Cloud misconfiguration & vulnerability management: experience identifying and reducing infrastructure-as-code and AWS vulnerabilities & misconfigurations at scale through pragmatic guardrails, tooling and clear remediation paths.

Threat modelling: confidence running lightweight, practical threat-modelling sessions that lead to useful engineering decisions and risk reduction.

CI/CD and code security: hands-on experience with security tooling such as SAST, software composition analysis, secret scanning and IaC scanning.

Automation mindset: ability to write scripts or small tools, ideally in Python, to reduce toil, improve visibility and surface meaningful risk.

Security leadership: ability to mentor other security engineers and influence engineers across the wider organisation. Depending on team structure, this may include line management.

AI security awareness: experience of leveraging AI to improve and scale appsec and cloud sec controls would be useful, but is not essential.

Key Responsibilities

Improve application security guardrails
Tune and evolve SAST, software composition analysis, secret scanning and related controls so they are actionable, low-noise and useful to engineering teams.

Improve cloud and IaC security guardrails
Help identify, prioritise and reduce AWS and infrastructure-as-code misconfigurations and vulnerabilities at scale.

Drive vulnerability management
Improve how application vulnerabilities, dependency risks, bug bounty findings, penetration test findings and third-party advisories are triaged, prioritised and remediated.

Drive cloud misconfiguration management
Help teams understand, own and remediate cloud security issues using pragmatic, developer-friendly workflows.

Run practical threat modelling
Facilitate lightweight threat-modelling sessions for new products, features, services and architectural changes.

Build automation and tooling
Create or improve scripts, integrations, dashboards and workflows that reduce manual effort and make risk easier to understand.

Support secure architecture decisions
Provide application and cloud security input into design reviews, AWS architecture decisions and larger technical changes.

Partner with engineering teams
Work closely with product, platform and software engineering teams to embed security into design, delivery and operational practices.

Support incidents and lessons learned
Provide application and cloud security expertise during incidents and feed lessons learned back into patterns, tooling and guidance.

Mentor others
Coach security engineers and engineering teams on practical security approaches. Depending on team structure, this may include line management of one or two security engineers.

Required Experience, Essential: 

• Strong practical experience in application security and cloud security, ideally with a balanced focus across both.
• Hands-on AWS security experience, including common misconfiguration patterns and practical remediation approaches.
• Experience improving vulnerability management across engineering teams, including prioritisation, ownership, remediation tracking and noise reduction.
• Experience in improving cloud or IaC misconfiguration management at scale in a developer-friendly way.
• Experience integrating, tuning or improving security tooling in CI/CD workflows, such as SAST, software composition analysis, secret scanning or IaC scanning.
• Experience running practical threat-modelling sessions that influence design, delivery or remediation decisions.
• Ability to write scripts or small tools, ideally in Python, to automate security workflows or improve visibility.
• Strong communication and collaboration skills, with the ability to influence engineers and technical leaders without relying on gatekeeping.
• Evidence of improving application security, cloud security or vulnerability management practices in a real engineering environment.
• Familiarity with Agile or Scrum ways of working.

Desirable

• Experience with leveraging AI for AppSec and CloudSec.
• AWS Certified Security – Speciality or equivalent practical AWS security experience.
• Terraform or CloudFormation expertise.
• Incident-management or incident-response experience.
• Experience with Splunk or similar logging/SIEM platforms.
• Experience with security metrics, dashboards or reporting that helped drive measurable risk reduction.
• Experience mentoring or line-managing security engineers.

What’s in it for You?

Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here.

We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible.

Accessibility

We are a disability confident employer and Valuable 500 signatory.

Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help.

Further information

At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications.

Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all.

The Rubrik Engineering team is comprised of people who produce extraordinary results. Our engineers are driven to build efficient, reliable, and cost-effective products. We believe in empowering our teams, giving engineers autonomy and responsibility, not just tasks. Our goal is to motivate and challenge you to do the best work of your career. As part of the Rubrik Engineering team, you will work closely with product managers, designers, and other engineers to define the next generation of products for Rubrik. At Rubrik, nothing will stop you from thinking big. We are looking for individuals who are comfortable with ambiguity and excited by the prospect of a challenge. If you have a positive attitude, high energy and limitless drive, and like to win, we want to talk to you.

Job Overview

The Cloud Solutions Architect is a key sales specialist role, supporting the broader sales organization with deep technical knowledge in a focus area. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solutions Architect will have an active role in providing real world feedback to product teams to enhance the product, testing new features before they are released, and helping educate the sales organisation on key components of their focus area technology. The Solutions Architect provides both immediate and long-term impact with their technical knowledge and position of influence with prospects and customers.

Responsibilities and Duties

• This is a remote work position with approximately 50% travel for onsite meetings (as required).
• Provide technical guidance in customer facing calls as required, both in person and remote.
• Expert level knowledge in primary hyperscalers (AWS, Azure, GCP) including authentication, authorization, networking, security, services, workloads, etc.
• Acts as a strategic advisor on Cloud Native architecture and DevOps; evangelist in automation using Infrastructure as Code and platform-native self-service capabilities.
• Ability to conduct in depth sales discovery and alignment of technical capabilities to customer pain
• Serve as a cloud subject matter expert, covering cloud-centric opportunities and enabling the sales team to effectively promote and sell cutting-edge cloud solutions.
• Assist with technical implementation or validation of the product.
• Work closely with sales teams from initial discovery through technical validation of the Rubrik solution.
• Creating and giving presentations for technical enablement of the systems engineers
• Work with product management and engineering to discover and address product gaps, providing real world knowledge on product use.
• Attend internal meetings and events as required, both in person and remote.

Qualifications

• Bachelor's degree or equivalent.
• 5+ years of experience in their focus area.
• A solid understanding of backups, high availability, and disaster recovery architectures for their focus area.
• Knowledge of common Identity Providers (Entra, AD, Okta), architecture and integration
• Scripting experience in a relevant language (Python, PowerShell, Bash, etc.)
• Experience with Terraform and other tools strongly preferred
• Ability and experience giving technical presentations ranging from small to large audiences
• Ability to self-manage time and projects.

📍London | UK remote | 💰 £55,000 to £75,000 + Incentive Awards tied to your performance + Benefits | Hear from the team

About our Data Science Team:

We're looking for a Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over four and half million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

How we hire

We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!

What you’ll be working on 

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into one product squad alongside engineers, designers, marketers, product managers etc.

Your day-to-day   

• Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
• Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
• Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights

You should apply if:

• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL and preferably Python
• You have experience in conducting large scale A/B experiments

The Interview Process:

Our average process takes around 2-3 weeks but we will always work around your availability. 

You will have the chance to speak to our recruitment team at various points during your process but if you 

do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com 

What’s in it for you:

💰 £55,000 to £75,000 + Incentive Awards tied to your performance + Benefits

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

We are looking for a commercially savvy, data-driven Senior Finance Analyst to join our UK and Ireland finance team. You will be integral in evolving, transforming and streamlining our ways of working across the breadth of finance. You will leverage your technical expertise and interest in emerging technologies (e.g. SQL, AI) to dive deep into complex datasets, turning raw data into strategic insights and answering the key questions that drive our executive decision-making.

Key Responsibilities

• Weekly/Monthly Reporting; Take ownership of generating timely and reliable weekly performance reporting & insights for the UK Management Board with a focus on actionable insights, analysis & commentary.
• Finance Transformation: Collaborate & identify inefficiencies in current financial workflows and lead initiatives to streamline/automate manual processes, reducing time spent on routine reporting across the team and improving time cycles for month-end and reporting.
• Month End Support; Supporting the Month End accounting process, ensuring a high level of accuracy in our management reporting and helping stakeholders understand their performance through data.
• Insight Generation: Interpret complex data sources to produce meaningful business insights. You won't just report the what; you will explain the why and the what next.
• Stakeholder Partnership: Act as a bridge between Finance and Tech/Data teams, translating business requirements into technical specifications while getting exposure to and influencing data infrastructure & pipelines.
• Forecasting/Budgeting: Work closely with both local and international stakeholders to generate reliable, data driven forecasts while ideating on new, high impact data assets required for success.

You Have;

• 2+ years of experience working with large data sets, complex models and experience in an analytical field.
• Experience working within physical product-based businesses (e.g. manufacturing, operational environments, FMCG, or similar industries) would be strongly preferred, particularly where finance and operational data intersect.
• A track record of designing, developing and maintaining various financial and non-financial data sets/models using SQL (python would be advantageous) and sophisticated Excel/GoogleSheet/Google AppScripts tools. Exposure to software (or equivalent software) such as Databricks, Snowflake, N8N, Workday Adaptive Planning, Tableau etc would also be an advantage.
• Experience developing advanced analytics with an exceptional ability to interpret and present financial and non-financial data in a way that is digestible for non-technical stakeholders.
• A continuous improvement mindset where you strive under the challenge of trying to continually improve the financial or operational performance & efficiency through the use of data & analytics.
• An intrinsic determination to solve a problem once it is identified using a scientific or well thought through, logical approach.
• Strong financial literacy and an inherent interest in business performance driving performance.

You are;

• Curious and proactive self-starter who seeks to understand concepts deeply and continuously improve processes
• A fast learner with strong problem-solving skills and financial acumen, able to work independently with minimal direction
• An effective communicator and stakeholder manager, skilled at building strong relationships and influencing outcomes
• Detail-oriented, accuracy-focused, and comfortable thriving in fast-paced, evolving environments
  
  

What you will get in return:

● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance

Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London

Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with your recruiter.

Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks.

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

You are required to cooperate with HelloFresh in all health and safety matters. You are responsible for ensuring you take reasonable care of your own health, and safety as well as others who may be affected by the work activities you undertake. You must report incidents immediately and actively raise health and safety-related concerns to your Line Manager. As part of our commitment to maintaining a safe and secure environment, we will process Disclosure and Barring Service (DBS) checks to the successful individual. Failure to disclose relevant information at application or throughout the process could affect your employment with the company. 

If you are currently a HelloFresh employee, please make sure you have discussed your application with your Line Manager.

As a Platform Engineer – Support, you will provide first-level response within Interactive Brokers (IBKR) on any information technology-related issues concerning the Microsoft Windows platform. You will assist business and development end-users via telephone, email, and a centralised ticketing system to resolve or escalate IT issues.

This position requires strong technical knowledge and polished communication skills. Key competencies include intermediate knowledge of Windows and networking technologies, combined with a strong motivation to develop your skills further. You must demonstrate patience with those who are less technically proficient and be able to function effectively in a fast-paced business environment with a high sense of urgency.

Additional requirements for this role include dependability and a willingness to go above and beyond the call of duty in assisting end-users and following technical issues through to resolution.

We currently operate a hybrid working model in one of the most iconic towers in the City of London, located on Fenchurch Street. You will also be pleased to know that we offer lunch from a selection of vendors every day you are in the office.

Essential Job Functions:

• Provide technical assistance and support for reported issues related to computer systems, software, and hardware promptly to meet departmental SLAs.
• Use all available means to assist users, including telephone, email, in-person support, and remote support tools.
• Resolve issues related to desktops, laptops, virtual machines, smartphones, scanners, printers, and other peripherals used by employees.
• Install operating systems, applications, hardware drivers, and customise system settings in accordance with departmental standards.
• Analyse problems using troubleshooting skills and diagnostic tools to identify the root cause and implement permanent solutions to prevent recurrence.
• Document issue resolutions in the departmental knowledge base for future reference and contribute to the creation of self-help articles for employee access.
• Provide timely updates on all activity for assigned incidents, including user contact attempts and resolution details, within the incident management system. Escalate incidents to other support teams where necessary.
• Participate in departmental or firmwide projects as instructed by the IT Department management.
• Contribute to departmental productivity and development objectives by participating in training programmes and team meetings.
• Interface with employees, supervisors, directors, and C-level executives, employing a high degree of tact and diplomacy to promote a positive image of the department. Resolve problem situations in a professional manner.
• Maintain excellent verbal communication skills, with the ability to communicate effectively with technical and non-technical colleagues at all levels of the organisation.
• Participate in the assigned schedule to ensure coverage.

Knowledge, Education and Skills Required:

• Associate’s Degree in Computer Science or a related field preferred.
• A+, Network+, Microsoft, and VMware certifications preferred.
• Proven technical support experience.
• Any equivalent combination of education, experience, and training that provides the required knowledge, skills, and abilities.
• Strong organisational, prioritisation, and multitasking abilities.
• Expected to be a team player who shares knowledge for collective growth.
• Able to communicate technical concepts to non-technical stakeholders.
• Must possess strong interpersonal and communication (written and oral) skills, along with a client service-oriented approach.
• Pays close attention to detail, displays flexibility, works independently, and demonstrates self-direction and initiative.
• Displays resourcefulness when solutions are not immediately evident and takes initiative to resolve problems independently.
• Ability to manage multiple high-priority initiatives in a fast-paced, highly technical environment.

Technical Experience Required:

• Strong knowledge of Microsoft Windows desktop operating systems.
• Strong diagnostic and troubleshooting skills, with an innate curiosity and interest in IT.
• Strong knowledge of the Microsoft Office suite.
• Working knowledge of Entra ID and Azure services.
• Working knowledge of administrative scripting (PowerShell, Python, etc.).
• Working knowledge of Intune packaging and PC deployments.
• Working knowledge of the TCP/IP protocol stack and Wi-Fi.
• Working knowledge of DNS and DHCP.
• Working knowledge of supporting PCs in an Active Directory environment.
• Working knowledge of the Office 365 cloud application suite.
• Working knowledge of desktop imaging, application deployment, and hard drive encryption.
• Working knowledge of Active Directory, domains, and group policies.

Location and Hours:

20 Fenchurch Street, London, EC3M 8AF
Coverage between 7:30 am - 6 pm (hours to be agreed), Monday – Friday (currently a Hybrid model)

Benefits:

• Career support and development
• Salary commensurate with experience
• Performance-based discretionary cash bonus scheme
• Discretionary stock grant
• Group Life Assurance cover
• Group Income Protection
• Occupational pension scheme based on gross earnings
• Hybrid working model*
• Annual leave above the statutory minimum, increasing with service
• Daily company-paid lunch and healthy snack options (when working from the office)
• Access to Private Medical Insurance, Dental Plan, and/or Health Cash Plan (including dependants)*
• Corporate events
• Travel season ticket loans*
• Cycle to work scheme*

*Subject to successful completion of the probation period

Interactive Brokers is an Equal Opportunity Employer committed to providing a diverse, equitable, and inclusive workplace for its employees.

If you have what it takes to join our London office team, please apply today!

Interactive Brokers (UK) is committed to promoting, monitoring, and implementing best practices, policies, procedures, and culture in adherence to the FCA Consumer Duty.

Your impact 

As the PKPD Lead, you will develop the quantitative pharmacology strategy of drug discovery projects to deliver high quality clinical candidates, whilst using and contributing to the optimisation of state-of-the-art computational and AI drug design models. As part of the DMPK and Quantitative Pharmacology team, you will champion the use of model-informed drug discovery and development on both small molecule and biologics projects. You will work closely with the Biologics Discovery team to further develop AI models for biologics developability.

If you are an experienced and ambitious scientist looking to play an active part in the AI-driven transformation of the pharmaceutical industry, joining Isomorphic Labs will lift you out of your comfort zone and provide an amazing opportunity for personal growth and development.

What you will do 

PKPD Lead

• Design and implement quantitative pharmacology strategies with an AI-first approach, from target identification to pre-clinical development.
• Provide scientific leadership and integrate PK and quantitative pharmacology strategies for biologics projects, within the broader project strategy. As a member of the project core team, you will collaborate closely with colleagues in Drug Design, Pharmacology, ML Engineering, and Preclinical and Clinical Development to resolve PK and PD challenges.
• Develop advanced PKPD models for biologics and small molecule projects in collaboration with the DMPK and Pharmacology Leads.
• Contribute to the choice of modality that is the most appropriate for each target. Develop the target molecule profile at the inception of the project.
• Integrate PK, PD and toxicological data to extract decision-making information through mechanistic and empirical models, including dose and safety margin predictions for biologics projects.
• Author PKPD sections of regulatory documents.

ML interactions

• Partner with Machine Learning colleagues to integrate PK and PD aspects of the drug design platform and identify, generate and analyse data from which to develop and improve predictive models.
• Identify state-of-the-art integration methods that could bring transformational benefits to our platform or ways of working.
• Support the development of the biologics developability platform by identifying high-throughput techniques to predict the PK behaviour of various biologics formats.

CRO interactions

• Since IsomorphicLabs outsource all wet-lab work to external vendors, you will maintain and develop close relationships with the CRO network to:
• Ensure high quality and timely data generation to support our portfolio projects.
• Leverage the scientific expertise of our external collaborators to enhance the team's impact.
• Oversee the delivery of data generation campaigns purposefully designed to support the development of AI-based developability models.

People

• Mentor junior members of the DMPK and Quantitative Pharmacology  team.
• Embrace and champion a culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, or Chemistry or another relevant subject.
• 3+ years of related experience in the pharmaceutical industry.
• Experience as a PKPD Lead, solving PKPD-related problems in biologics projects with a track record of working collaboratively to deliver high quality candidates.
• Practical experience developing high quality quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology.
• Advanced knowledge of PK and PKPD modelling for biologics.

Nice to have:

• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

About the DMPK and Quantitative Pharmacology team

The DMPK and Quantitative Pharmacology team, part of the Preclinical Development group, accelerates the delivery of high quality drug candidates by developing innovative and creative AI-first solutions. By applying our domain expertise and through collaboration with the entirety of our world-class drug discovery disciplines and ML researchers, we ensure that drug-like properties are at the heart of our drug design engine. We shape the development of state-of-the-art ADME and toxicology predictive models. We rethink drug discovery from Hit ID to first-in-human (FIH) trials by optimising the context of use of these models.

Your impact

At Isomorphic Labs, DMPK Leads drive the DMPK strategy of drug discovery and development projects to deliver high quality clinical candidates whilst using and contributing to the optimisation of state-of-the-art computational and AI ADME models. 

As part of the Drug Design and Medical Research team and through close collaboration with the Technology teams, you will support the business alongside world leading AI/ML Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to real drug design projects. You use your expertise in PBPK modelling to make data integration a powerful tool to accelerate drug design and preclinical development.

If you are a skilled and ambitious scientist looking to take the next step in your career, joining the Isomorphic Labs now will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

What you will do 

• Define Iso’s PBPK strategy leading to fit for purpose models that drive drug design and accelerate accelerate preclinical development.
• Design and implement stage-appropriate development DMPK strategies with AI-first approach, integrate the quantitative pharmacology and overall project strategies.
• Design mechanistic experiments to support project progression in a data-driven manner.
• Integrate DMPK, PD and toxicological data to extract decision-making information, including dose and safety window predictions.
• Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads.
• Optimise molecule design and formulation based on physico-chemistry and biotransformation knowledge in collaboration with Chemistry Leads.
• Maintain knowledge of state-of-the-art technologies and methods to increase confidence in human PK prediction.
• Author DMPK sections of regulatory documents.
• Embrace and champion a culture of inclusion and continuous professional development.
• Optimise the use of Iso’s datasets to address fundamental DMPK questions and advance the field.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject.
• 5+ years’ professional as a DMPK Lead, solving DMPK-related problems in preclinical development with a track record of working collaboratively to deliver regulatory-ready FIH packages.
• Practical experience in setting up automated PBPK workflows.
• Practical experience in using PBPK to support preclinical development.
• Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology.
• Advanced knowledge of PK and PKPD modelling.
• Experience of partnering closely with Preclinical and Clinical teams.

Nice to have:

• Experience with biologics, peptides and other new modalities.
• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

About the DMPK and Quantitative Pharmacology team

The DMPK and Quantitative Pharmacology team, part of the Preclinical Development group, accelerates the delivery of high quality drug candidates by developing innovative and creative AI-first solutions. By applying our domain expertise and through collaboration with the entirety of our world-class drug discovery disciplines and ML researchers, we ensure that drug-like properties are at the heart of our drug design engine. We shape the development of state-of-the-art ADME and toxicology predictive models. We rethink drug discovery from Hit ID to first-in-human (FIH) trials by optimising the context of use of these models.

Your impact

At Isomorphic Labs, DMPK Leads drive the DMPK strategy of drug discovery projects to deliver high quality clinical candidates whilst using and contributing to the optimisation of state-of-the-art computational and AI ADME models. 

As part of the Drug Design and Medical Research team and through close collaboration with the Technology teams, you will be supporting the business alongside world leading AI/ML Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to real drug design projects. 

If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

What you will do 

• Design and implement stage-appropriate DMPK strategies with AI-first approach, integrating quantitative pharmacology and overall project strategies.
• Design screening cascade and mechanistic experiments to support project progression in a data-driven manner.
• Integrate DMPK, PD and toxicological data to extract decision-making information, including dose and safety window predictions.
• Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads.
• Optimise the use of Iso’s datasets to address fundamental DMPK questions and advance the field.
• Optimise molecule design based on physico-chemistry and biotransformation knowledge in collaboration with Chemistry Leads.
• Maintain knowledge of state-of-the-art technologies and methods to increase confidence in human PK prediction.
• Author DMPK sections of regulatory documents.
• Embrace and champion a culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject.
• 3+ years’ professional experience as a DMPK Lead, solving DMPK-related problems in drug discovery with a track record of working collaboratively to deliver high quality candidates.
• Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology or immunology.
• Experience of partnering closely with Preclinical and Clinical teams.
• In depth knowledge of biotransformation.
• In depth knowledge of PK modelling and scaling of ADME properties.

Nice to have:

• Experience with biologics, peptides and other new modalities.
• Advanced knowledge of PKPD modelling.
• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Available Locations: Amsterdam, Netherlands, Lisbon, Portugal, London, United Kingdom, Munich, Germany, Paris, France

What You’ll Do

The Pre-Sales Solutions Engineering organisation is responsible for the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and efficient adoption roadmaps for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, curious and collaborative team.

As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and will work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support to do so. Your goal of customer success should drive you through the entire organisation as you seek out and create scalable solutions for your customer’s needs.

The range of products and solutions offered by Cloudflare are broad so that we are able to meet our lofty goal of helping to build a better Internet. A broad knowledge of Internet performance and security technology is required, the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare. All the resources and training required to be effective for the role, will be provided.

Examples Of Desirable Skills, Knowledge And Experience

Our Solutions Engineers come from a wide range of backgrounds: IT, engineering, software development, product management, financial consulting, customer support & project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with customers, and look forward to helping them realise the full promise of Cloudflare. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

You will have a good fundamental understanding on how to obtain the technical win so that customers choose our proposed solutions over that of competitors.

Additional experience might include a combination of the skills below: 

• 3-to-10 years of experience in the IT industry (early or mid-level experience).
• Fluent Czech and English (written & spoken).
• Ability to manage a project, work to deadlines, and prioritise between competing demands.
• Demonstrating empathy with customers and quickly identifying challenges and pain points they face. 
• Understanding of “how the internet works”. For example:
• Know the differences between TCP & UDP, and understand what kinds of applications may favour one over the other;
• Can explain the difference between authoritative DNS & recursive DNS?;
• You understand the role of a firewall, why TLS (SSL) plays an increasingly important role on today's Internet, a solid understanding of HTTP and a willingness to dive deeper into the quirks of clients & servers alike;
• Understanding of how customers make buying decisions, how to explain ROI.
• A knowledge of the competitive landscape for one or more of: DDoS, CDN, Performance, DNS, Developer platform or Zero-Trust/SASE service providers.
• You're OK with some (10-15 days per quarter) travel without travel restrictions: we expect to travel to customer offices, conferences and/or do talks. 

Bonus! 

• Previous experience in a pre-sales SE or consulting role. (note: doesn't have to be in tech);
• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills;
• Exposure to emerging technical landscape trends in Security such as Zero Trust. 

Available Locations: Netherlands, United kingdom, Germany, Portugal, France, Sweden

About Solutions Engineering at Cloudflare

The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team. 

What you'll do as a Solutions Architect

The Solutions Architect is a senior technical leadership role. You are a customer facing hands-on technologist with credibility built on domain expertise across Cloudflare portfolio.  You should have solid experience in influencing enterprise architecture design across various senior buyer personas both at customers and partner organizations. Your role will be to convince these decision makers of the long term value of thinking of Cloudflare as a strategic technology partner. 

You will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

You will work as a part of a highly visible structured pursuit team attached to designated strategic accounts, working to understand their unique business challenges and priorities with a goal of defining short and long term solution architecture with Cloudflare as a centerpiece. An equally important component of this role is the expectation that you scale your expertise and knowledge across the wider Pre Sales Solution Engineering organization.

Specifically, we are looking for you to:

• Build and maintain the long term technical relationship of key accounts, ensuring the successful design, proof and adoption of Cloudflare as a part of the customers critical infrastructure.
• Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the business, and further establishing our footprint within the customers landscape.
• Be the voice of the customer, engaging and influencing Product Management and Product Roadmap to serve their needs. 
• Demonstrate your expertise of Cloudflare within your field through the creation of professional content, including white papers, reference architectures, blog posts.
• Represent and Evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices.

Desirable skills, knowledge and experience

• 7+ years of experience in similar role or experience in a technical leadership role
• Previous experience as a solution architect, consultant or technical marketing engineer building, architecting or deploying security solutions
• Good understanding of AI, security challenges and its applicability to today’s enterprise landscape
• Proven track record using it to help drive revenue.
• Strong knowledge of Security Architecture, Design and Operations
• Working knowledge of the broader threat landscape and the ability to distill technology trends, and explain complex behaviors in simple terms
• Proven experience working with customers and partners in successful design and deployment of solutions
• Ability to juggle and successfully drive projects with customers, prospects, and partners.
• Experience with cloud computing solutions implementations including Microsoft 365, Azure, Google, AWS.
• Experience with Application, Security, Performance and Reliability products such as WAF, Bot Management, DDOS, Firewall, DNS and CDN.
• Knowledge of competitive market  around CDN providers, Web application Firewall, Remote access solutions, Next generation Firewalls, DDOS mitigations solutions, SD-WAN solutions , Secure Gateway solutions, SSE/SASE
• Proven hands-on experience with information security solutions such as Web Proxy, NGFW, Security Gateways, SIEMs, SAML/SSO, DLP, Data security and protection technologies such as HSM, Tokenization & encryption gateways.  
• Experience working with Identity Providers such as Entra AD, Okta, Ping, OneLogin, etc.
• Knowledge of web application programming XML, REST/SOAP API’s, REST, JSON,
• Experience in cloud computing based services architecture, technical design and implementations including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models.
• Knowledge of scripting languages such as Python and IAC products like Terraform
• Knowledge of security and cryptography.
• Knowledge of cloud/virtualization technologies and containerization

Available Locations: London, Amsterdam, Lisbon, Munich, Paris

What you’ll do:

The Pre-Sales Solutions Engineering organization is responsible for the technical sale of the Cloudflare solutions portfolio, ensuring maximal business value, fit-for-purpose solution design, and efficient adoption roadmaps for our customers.

As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

Technology moves at lightning speed; a broad knowledge of Internet performance and security technologies is required, and the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare.

Examples Of Desirable Skills, Knowledge And Experience:

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts—like how an edge network reduces "lag" or how WAF rules protect a player's wallet—in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty.

You appreciate the diversity of challenges in working with customers, from managing "micro-burst" traffic spikes to navigating regulatory requirements. You will find a collaborative environment where everyone brings different strengths and jumps in to help each other obtain the technical win so that customers choose Cloudflare to protect and accelerate their platforms.

Additional experience might include:

• Language: fluent in Polish and English
• 5-to-10 years of experience in the IT industry.
• Vertical Expertise: Understanding the cloud architectures, with main focus on security layers, such as CDN, WAF, SASE and Anti-DDoS..
• Technical "How the Internet Works": * Deep understanding of TCP vs. UDP, why it matters and why it's so critical from security point of view;
• Solid understanding of DDoS mitigation strategies at Layers 3, 4, and 7 to prevent services disruption.

Pre-Sales Excellence: Previous experience in a technical consulting or SE role, with a track record of demonstrating ROI to CTOs and Infrastructure Leads.

• 
  Project Management: Ability to manage complex Proofs of Concept (PoCs) and prioritize between competing demands in a fast-paced environment.
• Communication: Excellent presentation skills with a strong command of business English. 
• Market Knowledge: Familiarity with the competitive landscape for CDN, Zero-Trust, and SASE providers.
• Travel: Ability to travel to customer sites, industry events and internal summits.

Bonus!

• Scripting Skills: Demonstrated experience with JavaScript, Python, or Rust, and a desire to help customers build the next generation of serverless features on Cloudflare Workers.

• Security Trends: Exposure to emerging trends such as Zero Trust for securing internal employees traffic or remote-work environments.

The role 

In this role, you will lead Wayve’s Controls team, an experienced and growing group responsible for delivering robust real-world vehicle motion across our product platforms. You will guide a team working across controls, trajectory generation, and the interface with the Wayve AI Driver. The role combines technical leadership, team development, and delivery ownership, with the opportunity to shape both near-term product impact and the longer-term evolution of our technology.  This is a high-impact opportunity to lead a critical team at the intersection of control, AI, and real-world vehicle behavior.

Key responsibilities:

• Lead and develop the Motion Controls team, providing strong people leadership, technical direction, and clear priorities for an experienced and growing group of engineers.
• Own the team’s technical roadmap and delivery across short and long term horizons, translating product and system needs into clear priorities, technical plans, and timely execution.
• Own the interface between the Wayve AI Driver, trajectory generation, and control in a deployed autonomy system.
• Provide strong technical judgment across control, trajectory generation, and adjacent ML-informed system design, holding a high bar for engineering quality, technical rigor, deployed system performance, and motion quality.
• Work with key partners to align technical plans, product needs, and integration constraints in the delivery of robust deployed motion behavior.
• Shape the future direction and growth of the team to address emerging challenges at the intersection of control, AI, and real-world vehicle behavior.

About you  

In order to set you up for success as a TLM, Motion Controls at Wayve, we’re looking for the following skills and experience.  

Essential 

• Experience managing or leading engineers including setting priorities, driving execution, and supporting their growth and performance.
• Experience leading technical direction for complex autonomy, robotics, or other physical AI systems, ideally in autonomous vehicles or a closely related domain.
• Experience building, shipping, and maintaining production systems, including translating product and system requirements into technical plans and execution.
• Expertise in controls, trajectory generation, motion planning, or closely related autonomy problems, including strong understanding of physical system dynamics, closed-loop behavior, and controller design tradeoffs.
• Experience working on production systems that incorporate machine learning models, ideally in domains such as prediction, trajectory generation, planning, or control.
• Experience working across system boundaries, with the ability to consider factors across software, platform, and physical boundaries.
• Strong software engineering fundamentals, with experience delivering high-quality production code and setting a high technical bar for others.

Desirable 

• Experience managing engineers and growing teams.
• Experience with classical search- or optimization-based motion planning, optimal control, MPC, or related motion-generation methods.
• Experience working in production release environments, ideally involving real hardware or multiple platforms
• Experience with automotive-grade software development processes or safety-related standards such as ISO26262 or SOTIF.
• Experience with Python and C++ in production autonomy or robotics systems.

This is a full-time role based in our office in Sunnyvale or London.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  

Joining our Customer Data Science team, you’ll work with world class and passionate people to create reusable science modules, ensuring they are productionised, robust and available to the business. You’ll contribute to the research and implementation of new approaches to address complex problems and explore changes to process and tooling to enable research at scale.

What we expect from you

• Experience designing and delivering production-grade analytical Python solutions
• Experience working with relational databases, and SQL-like operations
• Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial
• Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial
• Proven experience implementing CI/CD and DevOps practices, with the ability to improve deployment reliability, testing standards, and release processes

Responsibilities

• Design, build and own standalone, reusable python packages that surface novel data science solutions, and are fundamental to best-in-class, global products and services
• Build processes and tools to support the research of global science methods, including visual dashboards to showcase their approaches
• Translate stakeholder requirements into robust, production-ready solutions
• Collaborate cross-functionally and mentor junior team members to raise engineering capability and impact

We are looking for an Incident Response Analyst to join the Incident Response Team on Recorded Future’s Enterprise Security team, within the overall Security organization at Recorded Future. This individual will support all functions and aspects of Enterprise Security at Recorded Future, including security operations, incident response, risk management, compliance, and training. This role is geared toward a more junior individual with a solid understanding of security fundamentals across a broad spectrum of disciplines.

What You'll Do: 

• Support the security operations, incident response, and risk management team efforts
• Triage and communicate impact and severity of alerts to larger security team
• Work across all parts of the Security team to document and communicate current and future efforts
• Understand and action on events and information contained with system(s) logs
• Organize and action on information contained within security ticketing system
• Coalesce and organize routine reports for communication to large audiences

What You'll Bring:

• 2 years of experience of core knowledge of security fundamentals. Breadth of knowledge should span all disciplines of the security field, to include security operations, incident response, risk management, compliance, and training
• Working knowledge of common EDR, SIEM, and MDM platforms
• Experience with common ticketing systems such as JIRA and knowledge management platforms such as Confluence
• Scripting skills with languages such as Python, Perl, and Bash to develop custom code when needed
• Working knowledge of common SIEM tools, including Splunk
• Working knowledge of common compliance frameworks such as ISO 27001, SOC & CMMC
• Experience operating within a CSIRT or SOC environment is a plus
• Basic understanding of networking and network security fundamentals
• Ability to diffuse large sets of data and information into actionable recommendations for the security team and leadership
• Strong problem-solving and analytical skills
• Time management and organizational skills
• Willingness to travel up to 10% of the time

We are looking for a Security Engineer to join the Enterprise Security team within the overall Security organization at Recorded Future. This individual will be primarily responsible for maintaining and uplifting the security stack utilized by the security team, with emphasis on a Splunk environment. The individual should also be comfortable developing creative solutions to engineering-related problems in order to best equip the security team to manage enterprise-wide security of Recorded Future.

What You'll Do:

• Deploy, configure, and maintain the Splunk environment to help the internal security team effectively manage security threats and risks
• Work cross-functionally to support other tech stack owners in the configuration and maintenance of security-centric tools (e.g. ELK, IAM tools, DLP technologies)
• Architect, build, and expand on existing solutions to solve challenging problems
• Develop dashboards, design data models, and deliver analysis of security logs in order to ensure the security of the Recorded Future enterprise

What You'll Bring:

• 3+ years of experience with deployment, configuration and troubleshooting of SIEM appliances, (Splunk)
• Experience operating within a CSIRT or SOC environment
• Experience with Cribl is a Plus
• Hands-on ability to manage distributed Splunk cluster infrastructure and all related components
• Experience administering a Splunk environment consisting of search heads, indexers, deployers, deployment servers, universal forwarders, clustering and Splunk IT Service Intelligence for access, performance, and operational roles.
• Good knowledge of Splunk SPL and visualizations to identify anomalies and trends
• Ability to define and onboard new data sources into SIEMs/Splunk
• Scripting skills with languages such as Perl, Bash, Python to develop custom code when needed
• Ability to diffuse large sets of data and information into actionable recommendations for the security team and leadership
• Strong problem-solving and analytical skills
• Time management and organizational skills
• Willingness to travel 10%

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

About the Role
Verkada is seeking an Enterprise Solutions Engineer in the London Area with expert experience in Cloud Security, IoT Systems, Networking, Linux systems, Security Surveillance and Access Control. This individual will partner directly with their territory account executives to expand the Verkada footprint upmarket into key UK Accounts. Responsibilities include directly interfacing with customers/partners throughout the sales process, overcoming technical objections, assisting customers in designing deployments with Verkada Products and providing technical assistance to territory account reps. The ideal candidate will be highly motivated, able to learn quickly and work independently while making impactful results for the company.

• Technical Leader: Be the subject matter authority on the full Verkada suite of products and offerings and articulate the value added benefits to customers throughout the sales process.
• Objection Handler: Overcome objections and defuse landmines while securing the technical win for Verkada.
• Evangelist: Effectively present the Verkada solution to all levels of customer, from C-level executives to loss prevention managers and directors of IT. Be a Product Technical Evangelist in training/educating partners, customers, and internal employees on the latest Verkada product offerings.
• This role requires regular travel, estimated to be more than 60% of the time, including both domestic and international destinations as needed. The successful candidate must be comfortable with frequent travel to support business operations, customer and partner engagements and team collaboration.

• 3+ years of experience as a Sales/Solutions Engineer, with a proven track record of working with large UK companies.
• Outstanding written and verbal English communication skills in order to clearly and efficiently articulate technical matters with customers and partners.
• Bachelor's degree in relevant technical or security field from an accredited university.
• Strong background in Networking: HTTPS, VLANs, TCP/IP, DNS, NAT devices, DHCP and Firewalls.
• Bonus:
• • Industry certifications: AWS, CCNA, CCDA, CCNP, MCSE, CEH, Security+, A+, Network+, Microsoft Azure, CISSP, CSP.
  • Experience working with Active Directory, SAML/SCIM, API's, Python, and other coding languages is a plus.
  • Startup experience.

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 Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. As such, we’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research.

We are looking for researchers with experience of AI in low-power, edge and embodied scenarios such as robotics, autonomous driving and augmented/virtual reality. We are interested in the training and deployment of multimodal AI models in these contexts, covering areas such as world models, real-time computer vision, generating and reasoning over audio/video streams.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

• Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering).
• Experience in embodied AI, world models or robotics.
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

Desirable:

• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution.
• Conference or workshop submissions in the fields of embodied AI, world models, or robotics.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

As part of the Data Infrastructure team you will be supporting mission critical big data platforms, to ensure they are fully performant, reliable, available and secure. We call it data infrastructure engineering, also known as DataOps or Database Administration or SRE.

The role is a mixture of development of tooling and operational support for our platforms, two aspects that go hand-in-hand. It requires attention to detail and curiousity about how the systems work under the hood, and gives you a wide base of skills from low level system tuning to general coding. 

We manage four main storage platforms, namely:

• Apache Solr (~2.2 PB)
• Apache HBase (~450 TB)
• PostgreSQL (~15 TB)
• Kafka (~60 TB)

These platforms are all open source, written in Java, Scala or C, and we maintain in-house builds and patching of them. We use a variety of open-source and in-house developed tooling to manage these services, mostly written in Rust and Python, which run primarily on hundreds of servers in multiple data centres and in the cloud.

We maintain a balance between project work and operational/ad-hoc work for all members in the team, whether they are senior or recent graduates, and your day-to-day work will be a mix of these.

The exact project work will depend on your experience, but we will scope it out collectively to ensure it is both achievable and delivers benefit. Some example projects given to recent graduates are:

• Coding mapreduce jobs to validate data between two multi-TB+ hbase clusters (to run in hours rather than months)
• Building out a python code stack to transparently migrate production clients between clusters (without losing any data or requiring any downtime)
• Building and testing new HBase builds and deploying them live (without putting everyone in Brandwatch out of a job)
• Creating a platform for rolling out our data management systems using Apache Airflow (to stop people re-writing custom job management systems)
• Rolling out a DR solution for hadoop on AWS (while keeping the system performant and not bankrupting the company)

If you're joining the team as a graduate engineer we'll be focusing on developing your knowledge of the storage platforms, how to program against them and how to troubleshoot issues. The aim is that you'd be able to help with the staging support by 3-6 months, and join the rest of the team supporting the production systems in 12 months. You'll also be expected to take a full part in the life of the team and, as your experience grows, start designing the infrastructure we run.

This role is based in Brighton, UK, but working remotely will be possible once the initial 6-12 months of training is complete.

Who we are looking for

In house training for the storage systems and our tooling is a necessary part of this role, but we are looking for someone with a keen interest in large scale storage infrastructure.A successful candidate will be expected to have the following:

• An interest in how computer infrastructure actually works, and a passion for learning
• Interest, and ideally production experience, running storage systems, eg. as part of a selfhosted service, a home lab or as part of academic studies
• Experience with Linux systems administration, including experience of trouble shooting
• Fluency with one or more scripting languages, ideally Bash or Python
• Experience helping your peers
• Pride in the quality of your work
• Experience with any of the following will be beneficial:
  • Development experience, in Python, Java, Rust, C/C++ or Golang.
  • Upstream open-source contributions
  • Academic research in scalability, distributed systems or storage infrastructure
  • Kubernetes experience, ideally running or writing Operators Experience with Docker and with CI/CD pipelines

ENGINEERING - GAMES

What We Do

Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide.

What You'll Do

You will work with our team of engineers at the intersection of vision, language and machine learning to create state-of-the-art models for agentic vision tools. You will be responsible for the design, implementation and deployment of production-ready computer vision models that support game developers in our ecosystem (including scene generation and trained bots/agents), as well as agents for automated content verification (e.g. gameplay behavior).

In this role, you will

• Create and deliver production-ready, scalable and high-quality deep-learning models and associated algorithms for computer vision problems
• Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap
• Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones

What we're looking for

• PhD in Computer Science, Mathematics or related field, 5+ years of relevant industry experience
• Proven track record creating innovative solutions for problems in Computer Vision and deploying them as production-level systems in industrial environments
• Expert, hands-on knowledge of:
  • Deep learning techniques for supervised, semi-supervised and unsupervised learning
  • Reinforcement learning, imitation learning, and related frameworks
  • Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch) 
• Experience with working collaboratively with other developers, following a flexible/agile/lean approach
• Desirable:
  • Experience with architecting, scaling, securing and operating ML systems in the cloud (ideally AWS) at medium to large scale
  • Experience with 3D Vision/Graphics

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in London for our hybrid working model.

As an ideal candidate, you will have:

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 426207

Wolt is looking for a Senior Full-Stack Engineer to join our Promotions team and help build the systems that power how merchants grow through offers, discounts, and incentives on our platform.

Promotions at Wolt and DoorDash play a critical role in driving growth for restaurants and brands, enabling them to attract customers, increase conversion, and optimize performance through targeted incentives. This team builds both the platform and user-facing tools that allow partners to create, manage, and measure promotions effectively.

In this role, you’ll work across the stack to build scalable systems and intuitive product experiences, while contributing to complex, cross-functional initiatives that span multiple teams and domains.

About the Team

SevenRooms is a hospitality technology platform that powers restaurant operations and marketing, and was recently acquired by DoorDash! The SevenRooms product enables operators to automatically drive revenue & profitability by leveraging data to build direct relationships, deliver exceptional experiences, and increase repeat business. The SevenRooms “In-Store” Technology organization at DoorDash is committed to building products that help restaurants create magical experiences every day. We are a small, but rapidly growing team of 70+ engineers, scientists and builders who are on a mission to fundamentally transform the hospitality industry. Our tech stack includes Python, Typescript, ReactJS, Redux, Django, App Engine, Cloud Firestore, Memcache, Cloud Tasks, Firebase, BigQuery, Elasticsearch, and more.

About the Role

We're looking for a strong Backend-focused Software Engineer who is excited to engineer highly performant, mission-critical systems that are designed for agile development and rapid scaling. You will partner with other engineers, product managers and designers who are dedicated to engineering real solutions that empower our In-Store team for growth. You will be joining an organization of engineering professionals working to fundamentally transform the hospitality industry through innovative technology solutions.

You’re excited about this opportunity because you will…

• Design, develop, test, deploy, maintain and improve software. Focus strongly on customer-facing features that create magical experiences for restaurant partners. 
• Be the technical owner of features from design to implementation. Take ownership of ongoing support and ensure high-quality delivery throughout the development lifecycle.
• Manage individual project priorities, deadlines, code quality and deliverables. Participate in occasional on-call duties to keep software systems up and running smoothly. 
• Partner with cross-functional teams including engineers, product managers and designers. Collaborate to engineer real solutions that drive growth and innovation in the hospitality industry. 
• Work with cutting-edge technology stack. Utilize tools like Python, Django, and modern cloud infrastructure to build scalable solutions.

We’re excited about you because…

• You have a BS degree in Computer Science, similar technical field of study or equivalent professional experience with 3+ years of software engineering experience 
• You have experience developing web applications with strong knowledge of algorithms, data structures, complexity analysis and software design 
• You have experience with Python (preferred), or another modern backend technology, and are excited to work with our modern technology stack
• You are passionate about building customer-facing features and take ownership of technical solutions from conception to deployment 
• You thrive in collaborative environments and are excited to work with cross-functional teams to solve complex problems in the hospitality industry

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Exploratory Sciences Team

Join our expanding Exploratory Sciences team, focused on tackling proteins which are critical for disease biology, but have been traditionally considered intractable. We are a small, multidisciplinary team within the Drug Design and Medical Research function at Isomorphic Labs. We work at the interface of machine learning, chemical biology and drug discovery to apply our platform to some of the toughest problems in drug discovery, and we collaborate closely with multiple teams across Isomorphic Labs. We have a strong growth mindset and prioritise continued development and learning as we hope to build the next generation of drug discovery scientists.

We are expanding and investing in our multidisciplinary Induced Proximity team within Exploratory Sciences, looking to recruit a number of talented scientists to drive projects towards the clinic. This role is for a Chemistry Lead, specialising in induced proximity. We're also willing to consider applications from those with PhD experience in molecular glue design and synthesis but no professional experience yet, as we plan to open junior positions within this team in the near future.

Your impact

As a member of the Induced Proximity team, you will deliver the development and application of a state-of-the-art induced proximity design platform. This will involve applying our platform in novel ways, and critically driving portfolio projects towards the clinic. You will need to design and execute on bold strategies to tackle problems that are currently considered impossible. Working alongside world leading AI/ML and Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to unsolved drug design problems.

Ready to elevate your scientific career? Isomorphic Labs offers ambitious scientists a unique environment to tackle stimulating challenges, pushing your boundaries and accelerating your personal and professional growth. If you are a skilled and ambitious scientist looking to take the next step in your career, joining the Isomorphic Labs will challenge you with novel problems and provide an unparalleled opportunity for professional growth and development.

What you will do 

• Apply your knowledge of cutting-edge molecular glue design and synthesis to tackle long standing challenges in drug discovery.
• Utilise internal AI/ML models to solve challenging drug discovery problems.
• Collaborate both internally and with third party organisations, interacting within multidisciplinary teams to support data-driven delivery of high quality scientific solutions. This will require understanding the fundamentals of diverse disciplines including ML, Biology, Chemistry and DMPK, and communicating effectively with experts in those fields. 
• Represent the company externally, interacting with existing and prospective collaborators and contract research organisations (CROs).
• Prepare detailed scientific proposals and reports to support new and ongoing programs.
• Embrace and champion our culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in Chemistry, or a related technical field, or equivalent experience.
• 3+ years’ professional experience in a Chemistry role, either operating within a biotech or pharma setting, or within a Post Doc position.
• Practical experience in the design and synthesis of chemical inducers of proximity/molecular glues, ideally with experience of applying these skills to active drug discovery projects.
• Broad knowledge of current chemical biology techniques.
• Experience of coding in Python, or a willingness to learn in-role.
• A genuine passion and enthusiasm for applying AI/ML to drug design and how this can transform the field.
• Excellent communication (written and verbal) and interpersonal skills, with an ability to work effectively in a cross-functional, collaborative team environment.
• A track record of creative problem solving with a strong growth mindset, adaptability, and eagerness to learn new concepts and techniques.

Nice to have:

• Experience working with or managing activities at contract research organisations (CROs).
• Experience of contributing to structure-based drug design (SBDD) problems.
• Experience of applying ML methods to Drug Discovery problems.
• Track record of authorship of relevant scientific manuscripts.

Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Data is at the core of everything we do at HRT; we excel at deriving deep insights from all types of data, allowing us to achieve consistent success in a dynamic market. 

This role is an opportunity to work directly with live trading teams to support one of the largest automated trading systems in the world. You will write automation, explore data, work closely with our research and trading teams, and interact with a variety of external partners such as data providers, brokers, and exchanges. In addition to being a critical part of the trading process, you will have the opportunity to acquire, analyze, and prepare data for quantitative research. 

Responsibilities

• Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
• Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
• Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
• Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Profile

• Track record of being detail-oriented and thorough
• You excel in problem solving and researching large datasets to resolve complex issues
• You have a collaborative attitude that lends itself to cross-team customers and projects 
• You thrive in the fast-paced environment of a daily live trading operation 

Qualifications

• 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline 
• Experience in Python strongly preferred 
• Experience managing ETL pipelines is a plus
• Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus
• Comfortable with the Linux command line
• Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
• Able to provide technical support in a production trading environment

We're looking for a Platform Engineer to join our Application Platform team. You'll help build and operate the deployment platform, tooling, and developer experience that every engineering team at dunnhumby relies on to ship software to production.

This role can be based from either our London or Manchester office.

You'll join at a moment when we're moving our retail analytics platform from monthly bundled releases to continuous per-service deployment on Kubernetes. You'll be hands-on with that migration in your first few months and then stay on long-term as a core member of the team that owns and evolves the platform. It's a clear path into senior platform engineering for someone who has shipped production Kubernetes work and wants to grow their craft on a platform used by hundreds of engineers.

Responsibilities

• Build and maintain the platform primitives that enable service teams to deploy independently, including ArgoCD application manifests, GitOps repository lifecycles, reusable Helm chart templates, and External Secrets Operator configuration.
• Pair with engineers across product and data teams as they onboard onto the new platform, addressing repeated questions at the template layer to prevent recurring issues.
• Contribute to platform design discussions and help shape the paved road that engineers across dunnhumby build on.
• Author and maintain reusable GitLab CI pipeline templates covering build, test, publish, deploy, and post‑deploy stages.
• Work with service teams to migrate pipelines onto the platform standard and retire bespoke per‑service deployment scripts.
• Continuously improve build times, pipeline reliability, and developer feedback loops.
• Respond to platform alerts during working hours, triaging ArgoCD sync failures, secret synchronisation errors, and flaky pipelines.
• Join the Application Platform on‑call rotation once ramped up (typically after the first few months).
• Instrument platform tooling with structured logging and dashboards to improve visibility without manual investigation.
• Write unit and integration tests to meet SonarQube coverage requirements and create smoke tests for deployment workflows — no green CI, no merge.
• Keep migration playbooks, ArgoCD setup guides, and per‑service pipeline documentation accurate and up to date.
• Share learnings with the squad through regular knowledge‑sharing sessions.

What we expect from you:

• Strong professional software or platform engineering experience, shipping code or infrastructure to production within a team environment
• Hands‑on Kubernetes experience on GKE, AKS, or EKS, with confidence using Deployments, Services, Ingress, ConfigMaps, Secrets, and RBAC
• Helm experience, including writing or substantially modifying charts, with a solid understanding of values files, templates, hooks, and chart dependencies
• Experience with GitLab CI or a comparable CI tool (e.g. GitHub Actions, Azure DevOps, Jenkins, CircleCI), having built or meaningfully modified pipelines rather than just used them
• Production experience with Python or Go, with the ability to discuss real code from professional work
• Confidence working with Linux, Bash, Docker, and standard Unix tooling
• Strong Git practices within a team environment, including branching strategies, PR/MR workflows, review feedback, and merge conflict resolution
• A proven track record of shipping to production in a professional team setting (not solely prototype or personal projects)
• Exposure to ArgoCD, Flux, or another GitOps tool is a strong plus
• Experience with External Secrets Operator, Vault, or similar secret‑sync patterns is beneficial
• Familiarity with Terraform, multi‑cloud environments (GCP and Azure), observability tooling (e.g. New Relic, Datadog, Prometheus, Grafana), or contract testing with Pact would be valuable

London/UK Remote | 💰£59,500 - £70,000 (depending on experience) + Incentive Awards tied to your performance + Benefits  ✨

Our Model Oversight team⭐

The second line of defence Model Oversight team (that’s us!) provides support to our colleagues in Borrowing, Fincrime & Fraud, Operations and Finance to help Monzo grow safely. We’re looking for someone (maybe you?) to help ensure the Fincrime/Fraud models we use are not only good for Monzo but what's best for our customers.

🔑You’ll play a key role by...

• Perform independent model validations of FinCrime/Fraud models using proportionate modelling techniques depending on the level of complexity applied.
• Write clear and impactful model validation reports and present the findings in relevant committees. 
• Review of any FinCrime/Fraud model changes and provide recommendations to first line teams to ensure the models remain fit for purpose. 
• Build relationships with first line of defence Fincrime/Fraud modelling teams and wider risk teams to support the embedding of the model risk framework (e.g.  good maintenance of the model inventory and adhering to issue management processes) and an understanding of model validation practices to help Monzo grow safely. 
• Support team lead in reviewing ongoing model performance monitoring to ensure the  FinCrime/Fraud models are performing within risk thresholds and providing support to the  FinCrime/Fraud model development team when further action is required.
• Supporting the broader Model Oversight team with model validation activity in other disciplines (Financial, Operational and Credit) to manage peak demand and utilising areas of specific knowledge.
• Research and learn latest modelling and validation techniques
• Support the effective operation of the Model Risk Oversight Committee as a regular attendee, contributing to the group discussion to improve model risk management.
• Support the promotion and embedding of a strong risk culture, making risk meaningful and relevant to everyone at Monzo. You will share best practice that is easy for everyone to understand.

🤩 We’d love to hear from you if… 

• You are highly motivated and energised by the idea of bringing positive impact to our customers and Monzo
• You are self-motivated and thrive in a fast-paced environment
• You have great attention to detail while keeping an eye on the big picture
• You are a great communicator, able to articulate complex problems
• You can provide effective challenge whilst building strong, respectful relationships
• You are keen to grow your knowledge in both business and technology

And, from a technical and knowledge perspective, you should have:

• Experience in developing and/or validating any of Financial Crime, Fraud, Credit, Interest Rate, Liquidity, Regulatory capital, Stress testing and/or forecasting models

• In-depth knowledge of statistical techniques for management of risks
• Experience of managing a modelling project through its full lifecycle
• Strong technical skills such as SQL or Python
• Working knowledge of machine learning models: gradient boosted trees, etc
• If possible, some understanding of some of the following:
• Customer Risk assessment controls at point of Current Account application
• Transaction Monitoring controls
• Financial Crime and Fraud Typologies
• Experience in transaction driven business or similar industry
  
  

  The Interview Process:

  Our interview process involves three main stages: 

  1. Recruiter Call (30mins)
  2. Initial Call (30 mins)
  3. Final stage x3 a take home task, role specific interview and a behavioural interview

  Our average process takes around 3-4 weeks but we will always work around your availability. 

  🙌What’s in it for you

  💰£59,500 to £70,000 (depending on experience) + Incentive Awards tied to your performance + benefits

  📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)

  ⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

  📚£1,000 learning budget each year to use on books, training courses and conferences.

  ➕ Plus lots more! Read our full list of benefits.

  #LI-TK1  #LI-Remote

About AQR Capital Management 

AQR is a global quantitative investment management firm at the nexus of economics, behavioral finance, data and technology. AQR’s evolution since its founding in 1998 has been a continuous exploration of what drives markets and how it can benefit our clients’ portfolios. We offer a range of traditional long-only and alternative strategies spanning equity, macro, arbitrage and multi-strategy solutions to investors around the globe.

At AQR, our employees share a common spirit of academic excellence, intellectual honesty and an unwavering commitment to seeking the truth. We’ll ask every question and challenge every assumption.  We recognize and respect the power of collaboration, transparency and openness to new ideas in driving innovation.

The Team

The Portfolio Solutions Group is part of AQR’s Business Development department. The team’s mission is to address the wider portfolio challenges of our clients and the wider investor community, by producing pioneering thought leadership, such as papers and presentations, and by running custom analyses for individual clients covering a wide range of asset allocation and investment selection decisions.

Your Role

We are currently seeking a Portfolio Solutions Associate who will help us develop and deliver customized analyses across an exceptionally broad range of investing topics and asset classes, and provide support for whitepapers and presentations for AQR clients.

• Provide support to senior members of the Portfolio Solutions Group, whose objective is to deepen relationships with investors through value-added analysis and thought leadership.
• Build and maintain analytical tools using Excel and/or Python.
• Perform a range of customized portfolio analyses in response to investor requests.
• Develop strong AQR product and multi-asset asset class knowledge and demonstrate interest in the broad field of investing.
• Liaise with other members of AQR (sales, marketing, research, portfolio management) across a variety of projects – asset class modeling, tool/infrastructure development, content creation, white papers analyses and distribution etc.
• Create and maintain up-to-date, high quality presentation materials.

What You’ll Bring

• A Bachelor’s or Master’s degree in Economics, Finance, Business or a Science, Quantitative, or Engineering Program from a top university is preferred. Other degrees with appropriate work experience may also be considered.
• 3-5 years of relevant post-undergraduate experience at an investment management or asset management firm is preferred.
• High proficiency in PowerPoint and Excel.
• Coding proficiency, especially in Python, is a plus.

Who You Are

• Hard working and eager to learn in a highly intellectual, collaborative environment.
• Well-organized and detail-oriented.
• Enthusiastic about developing and implementing ideas.
• Self-starter, able to work independently as well as within a team.
• Effective analytical and problem-solving skills.
• Strong oral and written communication skills.
• Knowledge of finance and the investment management industry is highly desirable.
• Willingness to pursue the Chartered Financial Analyst designation.

AQR is an Equal Opportunity Employer. EEO/VET/DISABILITY

Soho, London

Hybrid working: 3 days in the office Tues - Thurs

The Role

We are seeking a Data Engineer to join our Data Team, playing a vital part in building the complex, scalable systems that power our data strategy. You will be at the heart of architectural discussions, influencing system design and delivering the high-quality data solutions that bring millions of fans closer to the sports they love. This is a fantastic opportunity to tackle the challenge of optimising our data platforms for real-time AI/ML workloads, mentor talented junior engineers, and make a significant impact on our business. 

At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top.

We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users.

We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you! 

Key Responsibilities 

• Contribute significantly to critical system design decisions, helping to architect data solutions that support real-time workloads.
• Partner with cross-functional teams to translate intricate business needs into effective and innovative data solutions.
• Mentor and provide expert technical guidance to junior engineers, fostering a culture of continuous learning and growth.
• Design data systems to solve problems and improve reliability & cost-effectiveness. 
• Develop and maintain robust, secure integrations with core internal systems and critical third-party platforms. 
• Implement advanced monitoring and alerting, to ensure high system reliability and minimal downtime. 

Skills, Knowledge and Experience 

• You have expert-level proficiency in a core programming language like Python, Java, or Scala, with an emphasis on AI/ML data processing.
• You possess experience with cloud data services and technologies, ideally within the GCP ecosystem (e.g., Dataflow, Pub/Sub, BigQuery, Vertex AI).
• Experience with Airflow environment management and Docker 
• You can clearly and concisely explain intricate technical concepts to both technical and non-technical stakeholders.
• You have extensive experience designing and optimising both real-time and large-scale batch data processing frameworks.
• You have a proven ability to deploy and maintain data infrastructure using Infrastructure as Code (IaC) principles with tools like Terraform.
• You can demonstrate the application of data governance, privacy, and security best practices in a regulated environment.
• You are a proactive and curious problem-solver, skilled in anticipating and resolving system inefficiencies.
• You work seamlessly with cross-functional teams, translating complex requirements into robust data solutions.
• You take full responsibility for the quality, reliability, and performance of the data solutions you help create. 

What can we offer? 

• Fridays Off: Say goodbye to Friday meetings and hello to a three-day weekend! This benefit is part of a trial, to be reviewed in 2026
• Company Performance Bonus
• Flexible Working Agreements where applicable
• Private Healthcare Scheme + Employee Enhanced Assistance
• Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay
• Subsidised Gym Membership
• Annual Travel Card Loan & Ride to Work Scheme
• Life Assurance (x3 salary)
• Contributory Pension Plan
• Virgin Family: Giving you access to exclusive Virgin offers and experiences
• Thursday drinks in the office and regular socials

About The Team:

At HelloFresh, we are changing the way people eat forever. We are looking for a Senior Demand Planner to join our Central Planning Team, driving strategic forecasting and technical innovation across the UK and International markets while acting as the operational heartbeat of selected European markets. Seeking a data-savvy pro with strong SQL skills to unlock insights and drive smart decisions!

You will play a pivotal role in our Operations, moving from fragmented local forecasting to a unified, automated, and data-driven global model. You will also own the demand signal that drives every operational decision - from how much food we buy (Procurement) to how many staff we schedule (Production) and how many trucks we book (Logistics).

The Mission:

The Demand Planning team is transitioning from a legacy operating model into a Predictive Intelligence function. Our vision is to evolve from reactive demand estimation to active supply chain shaping, leveraging data to anticipate market shifts, mitigate risk, and optimize operational costs.

You will bridge the gap between legacy operations and predictive intelligence. This role has a critical dual objective:

1. Strategic Architecture & Innovation: Driving the innovation required to architect the standardized forecasting tools, demand simulation frameworks, and future-state processes that will unlock scalable growth across International markets.
2. Operational Execution & Continuity: Ensuring flawless operational continuity for Ireland forecasting, protecting service levels and optimizing costs during this transition.

Ultimately, you will ensure that while we build the next generation of automated planning pipelines, our daily supply chain execution remains agile, accurate, and highly efficient.

What You Will Be Doing:

Strategic Improvement

• Drive Standardization: Establish a unified, model-driven demand planning architecture. You will manage the planning process to strictly limit manual overrides, ensure real-time communication with key stakeholders and proactively take actions to correct the forecast.
• Automated Ecosystem Transition: Drive the shift toward an automated pipeline. Work alongside forecast engineers to design robust solutions that support an efficient, scalable process, ensuring local nuances are handled without breaking the unified code base.
• Scenario Modeling & Innovation: Work with Data Science to refine our Confidence Range Forecasts and Scenario Simulations. Build "What-If" scenarios (e.g., “What if we run an aggressive promo in Ireland next week?”) to stress-test operational capacity and mitigate supply chain risk.

Cross-Functional Stakeholder Management (S&OP)

• Lead the S&OP Rhythm: Facilitate the weekly planning cycle with local stakeholders such as Market leadership, Logistics, Production and Procurement. You will shift the focus from simple error reporting to comprehensive risk management and strategic alignment.
• Commercial & Marketing Alignment: Partner with Marketing to align on customer conversions and retention. You will ensure that growth campaigns are accurately reflected in the Expected Demand view before they hit the supply chain.
• Deep Dive Diagnostics: When deviations occur, you will move beyond surface-level metrics. Your role is to explain the key drivers of the variance to provide actionable insights that prevent recurrence.

Operational Forecasting & Plan Ownership

• Drive the Transition to an Automated Ecosystem: Drive the shift toward an automated, robust ecosystem (using tools like Python, Databricks, and Streamlit as examples). You will not just use these tools; you will work alongside forecast engineers to design robust solutions that support an efficient, scalable process, ensuring local nuances are handled without breaking the unified code base. 
• Own the Number: Generate and validate daily and weekly demand plans for Ireland. You are the guardian of the Decision-Time forecast, ensuring the plan is accurate at the exact moment Procurement and Production need to act, without relying on rigid timelines but rather on operational readiness.
• Manage Trends & Operational Agility: Monitor changes in trends and the need for quick operational adaptations. You will incorporate performance metrics, not only to track stability but to implement stakeholder discipline, ensuring that changes are communicated promptly and the organization adapts efficiently.

Who You Are:

You are a hybrid: part analyst and planner, part diplomat, and part strategic change agent. You know a demand plan is useless if it simply reports numbers without driving action. You ensure every plan reconciles conflicting cross-functional needs, championing structural transformation through deep insights and a proactive understanding of error and risk.

Must-Haves:

• Experience: 4+ years in Demand Planning, Supply Planning, or Data Analytics, preferably in e-commerce, food retail, or FMCG (short shelf-life/perishable experience is a massive plus).
• Tech Stack: You are ready to leave spreadsheets behind. Proficiency in SQL is required. Experience with Python (pandas, forecasting libraries) and Visualization tools (Tableau/Streamlit) is strongly preferred as we transition to our automated pipelines. 
• Analytical Rigor: You possess strong analytical skills and a problem-solving, forward-looking mindset. You understand how to evaluate performance holistically and are proficient in forecasting techniques.
• Young Market Mindset: You are comfortable with ambiguity. You know how to forecast in environments with limited historical data (like our newer markets) by using proxy data and trend smoothing.
• Project Management & Delivery: You can plan and sequence initiatives across markets, handling ambiguity and frequent reprioritisation. You have a track record of prioritising and landing a roadmap of improvements.
• Risk & Change Management: You proactively anticipate demand and supply risks. You are experienced in proposing mitigations (buffers, caps, swaps) and communicating complex trade-offs to senior stakeholders to protect service and cost.
• Project & Data Tools: Advanced Excel/Google Sheets skills are essential. You are comfortable using JIRA/Confluence (or similar) for managing backlogs and requirements.
• Quality & Monitoring: Experience with data validation/QA frameworks, alerting systems, and SLA tracking to ensure forecast reliability.

Soft Skills:

• Influence: You can hold your ground with Senior Stakeholders (Head of Operations, Procurement Directors) when challenging their numbers or explaining a forecast miss.
• Clarity: You can translate complex statistical concepts (e.g., "algorithm bias") into business impact (e.g., "we need to buy 10% more chicken").
• Stakeholder Leadership: You possess strong stakeholder management skills, influencing across Marketing, Procurement, Finance, and Tech. You ensure alignment across diverse functions.

What you will get in return:

● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Electric vehicle scheme
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance

Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London or any other international HelloFresh market

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with our recruiter.

Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks. 

About The Team:

We’re looking for a Senior Demand Planning Analyst who is as comfortable writing SQL as they are explaining a forecast miss to a Procurement Director. This is a hybrid role: part data engineer, part forecaster, part cross-functional operator.

You’ll own the demand signal that drives every operational decision at HelloFresh, from how much food we buy to how many staff we schedule and how many trucks we book. Your forecasts directly determine food waste, labour costs, and customer experience for millions of meals across Europe.

Our Demand Planning team is transitioning from a legacy operating model to a unified, automated, data-driven global function. You will bridge that gap — building the next-generation forecasting capabilities while keeping daily supply chain execution accurate and agile.

What You’ll Do

Build & Automate Forecasting Systems

• Write and maintain SQL queries daily to extract, validate, and transform demand data across cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
• Develop and refine forecasting models in Python, applying statistical and machine learning techniques — from simple trend and seasonality models through to more advanced approaches as the function matures.
• Design dashboards and automated reporting using visualisation tools (e.g., Tableau, Power BI) that give stakeholders self-service access to demand insights.
• Work alongside forecast engineers to architect scalable pipelines, ensuring local market nuances are handled without breaking the unified codebase.
• Build “What-If” scenario simulations (e.g., “What if we run an aggressive promo in a key European market next week?”) to stress-test operational capacity and quantify supply chain risk.

Own the Demand Plan

• Generate and validate daily and weekly demand plans for European markets. You are the guardian of the Decision-Time forecast — the plan must be accurate at the exact moment Procurement and Production need to act.
• Monitor trends, seasonality, and promotional impacts. Proactively flag when the plan needs adjusting and communicate changes before they surprise the supply chain.
• Implement data validation and QA checks to ensure forecast reliability, with alerting for anomalies.

Drive Cross-Functional Alignment (S&OP)

• Drive cross-functional alignment and play a key role in the weekly S&OP planning cycle with Market Leadership, Logistics, Production, and Procurement — ensuring the forecast is shaped by stakeholder inputs and shifting the conversation from error reporting to risk management and strategic alignment.
• Partner with Marketing to ensure growth campaigns and promotions are reflected in the demand view before they hit the supply chain.
• When deviations occur, go beyond surface metrics: diagnose root causes, quantify impact, and deliver actionable insights that prevent recurrence.

What We Need

Required Technical Skills

• SQL: Fluent. You write complex queries daily — joins, window functions, CTEs — and are comfortable working in cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
• Python: Good working knowledge. You can write and maintain scripts for data manipulation, forecasting, and analysis. You don’t need to be a software engineer, but you’re confident using Python to solve analytical problems.
• Visualisation: Experience building dashboards in tools such as Tableau or Power BI to make data accessible to non-technical stakeholders.
• Excel/Google Sheets: Advanced. Still essential for ad-hoc analysis and stakeholder communication, but not your primary tool.

Required Domain Experience

• 4+ years in Demand Planning, Supply Planning, or Supply Chain Analytics. E-commerce, food retail, or FMCG experience is strongly preferred — perishable/short shelf-life experience is a significant plus.
• Strong grasp of forecasting techniques: you understand bias, accuracy metrics (MAPE, WMAPE), trend decomposition, and how to evaluate model performance holistically.
• Experience forecasting in environments with limited historical data (newer markets, product launches) using proxy data and trend smoothing.
• Proven ability to manage demand and supply risks: proposing mitigations (buffers, caps, swaps) and communicating complex trade-offs to senior stakeholders.
• Comfortable with project tools like JIRA/Confluence for managing backlogs and improvement roadmaps.
• Strong communication skills: you can present forecast insights, explain variance drivers, and articulate trade-offs clearly to both technical and non-technical audiences, ensuring alignment across functions.

What you will get in return:

● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Electric vehicle scheme
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance

Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London or any other international HelloFresh market

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with our recruiter.

Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks. 

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.

You will join a Network Engineering team responsible for designing and operating large-scale datacentre and high-performance computing (HPC) network infrastructure. The team works closely with Quantitative Researchers, Traders, and infrastructure teams to ensure reliable, high-performance connectivity across compute and storage platforms.

Your Future Role within QRT
You will:

• Architect, engineer and deliver large-scale datacentre network infrastructure supporting HPC environments
• Design and build network fabrics with a focus on scalability, resilience and performance
• Support connectivity across compute, storage and cloud platforms
• Troubleshoot complex issues across large-scale network environments
• Collaborate with project management and engineering teams across the organisation
• Engage with network vendors and contribute to engineering discussions on products and solutions
• Contribute to a software-driven network engineering approach, including automation and tooling
• Stay informed on industry trends and emerging technologies to evolve network infrastructure

Your present skillset

• Demonstrate expert knowledge of datacentre networking technologies, including EVPN/VXLAN

• Demonstrate expert knowledge of routing protocols and resilient fabric design, with proven experience designing, building and troubleshooting large-scale datacentre network fabrics
• Understand switch ASICs, buffering models, platform capabilities and performance trade-offs
• Have experience with RDMA, RoCE and/or UEC networks
• Understand datacentre physical standards, including fibre, optics, cabling, switch airflow, cooling and power
• Have knowledge of WAN engineering and cloud interconnects supporting hybrid infrastructure and cloud bursting
• Have at least basic practical knowledge of Python or Go/Golang, Ansible, Git and AI-assisted engineering tools such as Claude
• Be comfortable getting hands-on with smaller engineering tasks as well as larger strategic projects
• Be a highly collaborative team player who takes ownership of complex problems and major project deliverables, communicating clearly and working across teams to drive successful outcomes

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.

POS-7094

Job Overview: We are seeking a Security Engineer with expertise in implementing and troubleshooting security tools to enhance and support our security infrastructure. This role focuses on evaluating, deploying, and maintaining a suite of security technologies that protect our organization’s assets. The ideal candidate will have extensive experience in security engineering, hands-on tool deployment, and troubleshooting complex issues within various security solutions.

Key Responsibilities:

• Security Tool Implementation: Lead the planning, deployment, and configuration of security tools, ensuring they meet organizational needs and integrate seamlessly with existing systems. Experience with SASE tools such as (Netskope/Zscaler), EDR tools such as (Crowdstrike/SentinelOne), Endpoint Privilege Management, Application Allowlisting, Email Security, SIEM Management and Detection Engineering 
• Troubleshooting and Support: Diagnose and resolve issues with security tools in real-time to maintain their effectiveness, reduce downtime, and ensure optimal performance.
• Tool Evaluation and Testing: Research, test, and recommend new security technologies based on the latest threat landscape and organizational needs. Lead proof-of-concept (POC) projects to assess potential new tools.
• System Integration: Work closely with IT and other teams to ensure security tools are effectively integrated with various systems, including cloud and on-premises environments.
• Automation and Optimization: Develop scripts and automation processes to improve the efficiency and reliability of security tools, minimizing repetitive tasks and reducing time-to-response.
• Documentation and Knowledge Sharing: Create and maintain detailed documentation of security tool configurations, troubleshooting procedures, and best practices to ensure consistent processes and knowledge transfer.
• Collaboration: Collaborate with other security teams, such as incident response and vulnerability management, to identify tool requirements, share insights, and improve overall security capabilities.
• Training and Mentorship: Act as a subject matter expert on security tools, providing training and guidance to junior team members and stakeholders.

Qualifications:

• Experience: 3+ years of experience in cybersecurity, with a focus on security engineering, tool deployment, and troubleshooting.
• Education: Bachelor’s degree in Computer Science, Information Security, or related field (or equivalent experience).
• Certifications: Relevant certifications, such as CISSP, GIAC, CEH, or vendor-specific certifications for security tools (e.g., CrowdStrike, Netskope, Tenable, or similar).
• Technical Skills:
• Strong hands-on experience with a variety of security tools, such as endpoint protection, SIEM, vulnerability management, EDR, DLP, and network security tools.
• Deep troubleshooting skills across both hardware and software security solutions.
• Familiarity with scripting languages (Python, PowerShell, Bash) for automation of tasks related to tool deployment and management.
• Understanding of network protocols, cloud environments, and security frameworks (MITRE ATT&CK, NIST, CIS).
• Experience with configuring and managing tools in cloud environments (AWS, Azure, or GCP).
• Soft Skills:
• Strong analytical and problem-solving abilities with attention to detail.
• Excellent communication skills to collaborate across teams and convey technical information effectively.
• Ability to work independently and manage multiple projects in a fast-paced environment.

The Role

The Principal Software Engineer role at PhysicsX is an individual contributor role with leadership and collaboration expectations. The Principal is expected to be an effective technical thought-partner to non-technical stakeholders, and is expected to contribute strongly to an environment of growth and development in the craft of software engineering across the organisation.

Engineering Applications make PhysicsX's AI platform usable by engineers in their daily work. The product group creates workflows and interfaces that span the engineering lifecycle, from design through manufacturing to operations, enabling engineers to harness AI capabilities. The suite ranges from ready-to-use applications that ship with the platform for engineers to use directly to a composable set of extensible components for teams who need to go further. Engineering Applications ensure that impactful AI capabilities are accessible to customers at scale.

What you will do

• Engage with product managers, designers, and users of Reference Applications to fully understand the what and why of the product’s functional requirements.
• Partner with the product leadership of Reference Applications to define the art of the possible with ambitious pragmatism, defining the how and when of product development.
• Take responsibility and accountability for the implementation of components and services by a team of software engineers, and actively participate in development by contributing to source-code, documentation, and CI/CD workflows.
• Design and maintain services that are fully interoperable with PhysicsX’s other platform services, while remaining independently versioned, tested, and deployed.
• Define, evolve, and advocate for a scalable, modular front-end architecture that enables reuse, rapid development, and long-term maintainability.
• Implement standardised instrumentation for metrics, logs, and traces and take responsibility for the teams’ prompt remediation of issues in production.
• Establish performance benchmarking to measure compliance with non-functional requirements, right-size infrastructure requests, and provide appropriate SLAs.
• Participate in establishing company-wide software engineering standards through engagement with the software engineering guild.
• Participate in the growth and development of software engineers.
• Participate in the recruitment and onboarding of software engineers.

What you bring to the table

• A passion for the evolving craft of software engineering and for sponsoring a culture of excellence in the craft.
• A proven ability to act as an effective technical thought-partner to non-technical stakeholders.
• A proven ability to lead teams of software engineers in a fast-paced and iterative environment, through active participation in problem solving, coaching, and architectural decision-making.
• A solid track-record of designing, building, and maintaining application services in distributed architectures.
• Background working with Kubernetes - CKA certification, is a nice to have.
• Experience with workflow orchestration, event-driven systems, and messaging (NATS, ArgoWorkflows)
• Proven track record building web-based user interfaces using a variety of architectural approaches - SPAs, server-rendered applications, hybrid architectures, micro-frontends - with a critical perspective on when each is the right choice.
• Deep understanding of frontend rendering strategies and their tradeoffs: CSR, SSR, streaming SSR
• Micro-frontend architecture: module federation, runtime composition, independent deployment, and shared dependency management across teams.
• Monorepo platform experience: Turborepo/Nx/Workspaces, with ownership of shared tooling, build pipelines, and DX abstractions across multiple frontend packages.
• Advanced TypeScript: conditional types, mapped types, and template literal types, with the ability to design type-safe API layers (tRPC, Zod, OpenAPI codegen)
• Build toolchain depth: Vite internals, custom plugin authoring, bundle analysis, and measurable build performance optimisation.
• Large-dataset rendering: virtualisation strategies (TanStack Virtual), WebGL/Canvas/WebGPU for high-performance visualisation.
• Server state architecture: TanStack Query or equivalent, cache invalidation strategy, optimistic updates, background refetching, and avoiding over-fetching at scale.
• Proficiency in Python and Go, with experience in other languages a plus (Rust, C++).
• A strong understanding of the machine learning development lifecycle.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

About the role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major CSPs and our own datacenters, stand up and scale clusters from thousands to hundreds of thousands of hosts, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic’s frontier AI research.

Key responsibilities

• Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair
• Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families
• Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity
• Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others
• Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy
• Establish and evolve operational excellence practices (incident response, postmortem culture, on-call)
• Support the growth of engineers around you through technical mentorship and coaching

Minimum qualifications

• Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
• Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)
• Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

Preferred qualifications

• 8+ years of software engineering experience, including time as a technical lead setting direction for a team
• Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency
• Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines
• Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons
• Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads.
• Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems
• Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

About the role

Anthropic runs some of the largest Kubernetes clusters in the industry. We have fleets of hundreds of thousands of nodes across multiple cloud providers and datacenters to train, research, and serve frontier AI models. The Kubernetes Platform team owns the Kubernetes control plane that makes those clusters work.

We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure.

We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow.

Key responsibilities

• Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption
• Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us
• Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on
• Build and maintain custom controllers, operators, and CRDs
• Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities
• Collaborate with cloud providers on required features and escalations
• Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures

Minimum qualifications

• Significant software engineering experience building and operating production distributed systems
• Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++)
• Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters
• Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes
• A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on
• Strong written and verbal communication; comfort building consensus with internal stakeholders

Preferred qualifications

• Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar
• Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents)
• Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments)
• Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL
• Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code
• Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF
• 8+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects

About the role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.

Key responsibilities

• Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning
• Partner across teams to ensure new compute capacity is ingested on time
• Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
• Collaborate with security owners to ensure clusters are provisioned secure-by-default
• Define and drive strategy on cluster scalability, homogeneity and fault tolerance
• Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy
• Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health
• Support the growth of engineers around you through technical mentorship and coaching

Minimum qualifications

• Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
• Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

Preferred qualifications

• 8+ years of software engineering experience, including time as a technical lead setting direction for a team
• Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
• Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
• Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
• Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
• Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
• Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower-level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

•  Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry).
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution

Desirable:

• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What’s Exciting About the Role

Verifone is seeking a Kafka DevOps Engineer to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You’ll be hands-on with day-to-day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on-prem and in AWS Cloud. Beyond keeping the lights on, you’ll play a key role in building the data pipelines—of which Kafka is a core component—that power Verifone’s new AI, machine learning, and analytics initiatives. You’ll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands-on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more—so you’ll grow well beyond a single-technology niche.

Key Responsibilities

Kafka Operations & Reliability

• Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high-throughput, fault-tolerant messaging and event streaming pipelines.
• Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA).
• Handle day-to-day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing.
• Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks.

Scripting, Automation & DevOps

• Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency.
• Design, implement, and maintain robust CI/CD pipelines for patching automation.
• Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar.
• Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes.

Data Pipeline Development

• Build and optimize end-to-end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases.
• Collaborate with development teams to implement best practices for data flow, security, scalability, and performance.
• Continuously identify and implement improvements to the software development lifecycle (SDLC).

Cloud & Infrastructure

• Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.).
• Support cloud migration tasks and assist in moving workloads between on-prem and cloud environments.

Required Qualifications / Skills

• 4+ years of overall engineering experience with 2+ years of hands-on experience supporting Kafka infrastructure in a large-scale production environment.
• Kafka Producer/Consumer microservices concepts and Kafka distributed architecture.
• Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk.
• Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil.
• CI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred).
• Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch).
• Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices.
• Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure).
• Strong communication and presentation skills with emphasis on executive communication.
• Flexible with regards to working shifts; on-call and weekends.

Preferred Skills (Highly Desired)

Data Engineering & Pipelines

• Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration).
• Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.).
• Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks.

Database & Caching Technologies

• Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases.
• Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals).
• MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore).

Infrastructure & Security

• Container/Kubernetes familiarity (deployments, stateful workloads, storage classes).
• On-prem experience (VMware/KVM, storage, networking).
• Security fundamentals: least privilege, secrets management, encryption-in-transit/at-rest concepts.
• Experience working with PCI (Payment Card Industry Data Security) standards.

What We Offer

• Direct impact on Verifone’s global payment infrastructure—your work keeps billions of transactions flowing reliably every year.
• Ground-floor involvement in building the data pipelines that will drive Verifone’s AI, machine learning, and analytics strategy.
• Hands-on participation in a Kafka-to-Kubernetes migration—a resume-building modernization project from day one.
• Multi-technology exposure—Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake—so you grow as a well-rounded platform engineer, not a single-tool specialist.
• Mentorship from senior engineers and Kafka architects with deep production experience.
• Clear career progression path from mid-level to senior and lead engineer.
• Funded certification paths—Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA—plus budget for courses and technical conferences.
• Hybrid/remote working flexibility with a collaborative team culture.
• Competitive compensation with performance-based incentives.

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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

Location: UK or Portugal

Department: Engineering

Employment Type: Permanent

About YLD:

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

About the role:

As a Senior Data Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Senior Data Engineer is a highly skilled engineer who spans across data engineering and analytics engineering, and knows where the boundaries sit. You've built pipelines and transformation layers. You've inherited messy data projects and made them good. You have opinions about how data teams should work and the humility to adapt them to context.

You have a real passion for the craft and are an active learner who gets excited by the variety that consultancy brings: different clients, different stacks, different problems.

Your day-to-day responsibilities will look like this:

• Delivering data work on client engagements: pipelines, transformation layers, models, and the infrastructure around them
• Adapting to different client contexts, legacy warehouse migrations, greenfield lakehouses, struggling transformation layers that need rescuing
• Defining and evolving our internal standards for data work: testing, documentation, project structure, code review
• Mentoring and growing data engineers across the company
• Showing up for client team moments (internal speakers, learning sessions, social events) to build strong working relationships.
• Contributing to proposals and helping shape engagements during the sales process
• Representing YLD externally through writing, speaking, and contributing to the wider data community.

You’ll have the following skills and experience:

• SQL as engineering: You write SQL that's reviewable, testable, and performs at scale. You understand query planning, engine quirks, and how materialisation choices affect cost and performance
• Python for data: You write typed, testable Python for pipelines and tooling. You've built and maintained production data systems, not just notebooks
• Data modelling: You've made deliberate choices between dimensional, Data Vault, normalised, and denormalised designs. You can explain those trade-offs in terms of flexibility, query performance, and maintainability
• Transformation architecture: You design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scripts
• Pipeline design: You understand batch, streaming, and micro-batch trade-offs. You consider latency, complexity, cost, and reprocessability. And choose the right approach for the problem
• Data testing: You write tests as code, schema contracts, assertions, and transformation logic. You know what to catch at build time vs. defer to observability
• Data observability: You treat data reliability like site reliability. Measurable indicators, alerting, incident response, and root cause analysis
• CI/CD for data: You version, test, and deploy pipelines like software. Environment promotion, rollback strategies, and infrastructure as code for reproducible environments
• Data governance: You've implemented lineage, cataloguing, sensitive data classification, or access control. Not just built pipelines, but made them auditable and secure
• Cost-conscious: You've optimised warehouse spend, storage strategies, or job efficiency. You treat compute as a resource to manage, not ignore
• Platform fluency: You've worked across the modern stack. Orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)
• Cross-functional fluency: You translate engineering constraints into business terms and negotiate realistic commitments

You’ll be:

• Self-motivated and proactive
• Comfortable with ambiguity, experimentation, and iteration
• Collaborative by default. You work well in teams and across teams
• Analytical and detail-oriented in your approach to problems
• Comfortable context-switching across clients, stacks, and problem types
• Willing to shape engagements, not just deliver them: contributing to proposals, scoping, and client relationships
• Active in the wider data community: writing, speaking, or open-source contribution
• Genuinely committed to diversity, equity, and inclusion

Benefits you'll get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Company’s Pension Scheme (UK Only)
• 25 days annual holiday (excluding Public Holidays)
• £2000/€2000 annual allowance for Training/Conferences
• £300/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30-45 Minutes)
• Technical Interview with our Senior Developers (90 Minutes)
• Call with the Head of Engineering (60 Minutes)

Get a glimpse of what it's like working at YLD! 🤳

Check out our LinkedIn page

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

Are you eager to learn new technologies? Do you appreciate a free working environment where you get a high level of decision-making authority but also the support you needed? Can you turn business requirements into excellent technical solutions leveraging Adobe technologies? And would you like to work with some of the world’s most skilled marketing automation developers on one of the most advanced CRM/marketing platforms? Then you might be just the one we are looking for!

What will your day look like?

In the role as an Adobe Developer, you are responsible for understanding the technical structure of a project. Your job will be to identify client requirements by researching concept, strategy, and target for the project, followed by designing, developing, and implementing robust solutions leveraging Adobe marketing platforms.

Furthermore, your tasks include:

• Leading the implementation of new features, bug fixes, and complex configurations within Adobe environments.
• Collaborating with Architects and Technical Project Managers to translate client requirements into precise technical specifications, estimates, and deployment plans.
• Conducting in-depth technical investigations, troubleshooting issues, and proposing effective solutions, often involving advanced programming and integration.
• Mentoring and providing technical guidance to Associate and other Developers on complex tasks, coding best practices, and problem-solving techniques.
• Ensuring the successful integration, testing, and deployment of client applications and platforms, applying rigorous quality assurance methods.
• Staying abreast of industry trends and emerging technologies, especially within the Adobe ecosystem, to continually enhance our offerings and provide innovative solutions.
• Acting as a go-to resource for technical challenges, proactively engaging in discussions with clients and internal teams to find the best approach.

Who are you going to work with?

You will become part of an exciting and challenging professional environment, working closely with Architects, Application Consultants, Technical Project Managers, and other Developers (including Associate, Senior, Lead, and Principal levels) within the technical team. You will also collaborate with Data Specialists and Designers outside of your department. Our common feature is that we all are competent, respectful teammates who go the extra mile to help one another.

We value room for diversity, and you will get a chance to put a personal touch on your daily tasks while developing your professional skillset. We are proud of our multicultural environment and easy-going, dynamic atmosphere where we not only work together – we are great at having fun as well.

What do you bring to the table?

You are an outgoing and self-motivated person who contributes positively to the working environment with your team-player attitude. Your previous experience with being a trusted advisor for clients and colleagues means that you are not afraid to express your opinion, and your organized approach helps you meet deadlines and break down projects into manageable chunks.

In addition, you have:

• 4+ years of hands-on development experience, ideally within an agency or consulting environment, with a strong focus on digital marketing solutions.
• Proven expertise with Adobe Experience Cloud platforms, such as Adobe Journey Optimizer (AJO), Adobe Campaign Classic, Adobe Marketo Engage, Adobe Analytics, Adobe Experience Platform (AEP), Adobe Target (AT).
• Strong proficiency in front-end and back-end technologies including JavaScript, HTML, XML, CSS, and SQL, along with experience in other programming languages (e.g., Python, Java) and API integrations.
• Active Adobe certifications such as AJO Developer Expert, RTCDP Developer Expert, Adobe Campaign Classic Developer Expert, Adobe Campaign Standard Developer Expert
• Experience with code versioning systems, automated integration testing, security testing, and secure coding practices.
• Deep understanding of data models, optimization techniques, and GDPR principles.
• Excellent communication skills (in English), with the ability to articulate complex technical concepts to diverse audiences (technical and non-technical).
• A proactive and collaborative mindset, with a strong commitment to continuous learning, problem-solving, and a growth mindset.

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.

Data Analytics Architect (Snowflake & dbt Expert)
Location: Western Europe

We're looking for a highly skilled Data Analytics Architect to serve as the cornerstone of our Go-To-Market (GTM) data platform and accelerate our ability to deliver actionable insights. In this role, you will take full ownership of our Snowflake environment and dbt projects to enhance and maintain our existing technical foundation. You will serve as the strategic bridge between our leadership in North America and our engineering teams in India, translating complex business objectives into high-performing, code-based data architectures. As our primary Snowflake and dbt expert, you will not only maintain our "warehouse-first" strategy but also pioneer the integration of modern AI tools like Claude Code into our development lifecycle to drive unprecedented efficiency.

To be successful in this role, you must be a technical powerhouse who is equally comfortable writing production-grade SQL/Python and presenting data strategy to stakeholders. You are a fast, clear, and independent thinker who thrives on the "get things done" mentality of a high-growth environment. You possess a deep understanding of modern data stack best practices—specifically version-controlled development and end-to-end orchestration—and you are never satisfied with the status quo. You excel at collaborating across time zones, navigating ambiguity without formal authority, and maintaining technical excellence under pressure. You are passionate about automation, detail-oriented in your data modeling, and have superb communication skills to make complex data lineages easy to understand for everyone in the organization.

As an Data Analytics Architect, you’ll get to:

• Own and Administer Snowflake: Manage the end-to-end Snowflake environment, including performance tuning, RBAC security modeling, cost optimization, user permissions, and compute management.
• Architect dbt Foundations: Lead the development of our dbt project, establishing standards for modeling, testing, documentation, and CI/CD pipelines.
• Bridge Global Teams: Act as the primary technical point of contact between North American leadership and India-based resources, ensuring seamless requirement translation and project execution across time zones.
• Operationalize AI: Integrate AI-assisted development (Claude Code, LLMs) into the workflow to automate boilerplate tasks and accelerate time-to-value for new data products.
• Transform GTM Data: Replace and enhance the "Warehouse-First" models, centralizing data from Salesforce, product usage, and marketing tools into a unified, clean source of truth.
• Ensure Data Integrity: Establish and own data quality monitoring, observability, and alerting frameworks to ensure business-critical dashboards remain reliable and accurate.

You’ll be a good fit if you have:

• 5-7+ years of experience in Data Analytics Architecture or Data Engineering, with a proven track record of owning a cloud data warehouse at scale.
• Mastery of Snowflake architecture, administration, and performance optimization.
• Advanced proficiency in dbt (Core or Cloud), including experience with macros, packages, and complex DAG management.
• Demonstrated success working within a distributed team, specifically coordinating between Western Europe, North America, and India.
• Fluent in version control (Git), SQL, and Python, with a strong focus on building maintainable, "code-first" data solutions.
• Experience (or high comfort level) using Claude Code and other AI development tools to enhance productivity and code quality.
• Understanding of SaaS metrics and Go-To-Market data flows (Salesforce, Marketo, Revenue Ops) is highly preferred.
• Native or near-native English fluency, with the ability to explain technical debt, architectural trade-offs, and data lineage to non-technical leaders.

Job Description: Technical Delivery Manager

Location: London, UK
Work Model: Full-time, onsite at customer location
Role Type: Customer-facing delivery leadership role

Role Summary

We are looking for a Technical Delivery Manager to lead complex technology delivery for a strategic enterprise customer in London. This role requires a strong combination of hands-on technical understanding, delivery ownership, client management, Agile execution, and cross-functional leadership.

The ideal candidate will manage end-to-end delivery across cloud, data, application modernization, AI-enabled engineering, and enterprise integration initiatives. The role is fully customer-facing and requires daily onsite collaboration with business, technology, product, architecture, and engineering stakeholders.

Key Responsibilities

Delivery Leadership

• Own end-to-end delivery across assigned programs, workstreams, releases, and sprint commitments.

• Drive planning, execution, risk management, dependency tracking, and stakeholder communication.

• Ensure delivery predictability across scope, schedule, quality, budget, and customer expectations.

• Manage delivery governance using Agile methodology, sprint ceremonies, release planning, retrospectives, and operational reporting.

• Maintain clear traceability of requirements, user stories, acceptance criteria, UAT sign-offs, defects, and production readiness.

Customer & Stakeholder Management

• Act as the primary onsite delivery interface for customer stakeholders.

• Build trusted relationships with business, product, technology, architecture, security, infrastructure, and operations teams.

• Translate business priorities into actionable delivery plans and technical execution roadmaps.

• Proactively communicate risks, blockers, trade-offs, and mitigation plans.

• Support executive-level reporting, steering committee updates, and escalation management.

• Identify growth opportunities and partner with internal team to build solution proposals

Technical Oversight

• Provide technical leadership across cloud, data, application, integration, and DevOps workstreams.

• Work closely with architects, engineers, QA, DevOps, and data teams to validate technical design and delivery feasibility.

• Ensure alignment with enterprise architecture, security, privacy, data residency, and operational standards.

• Review technical dependencies across applications, data pipelines, APIs, environments, and CI/CD processes.

• Drive production-readiness reviews, performance validation, monitoring, and support handover.

Engineering & Agile Execution

• Lead sprint planning, backlog grooming, daily standups, sprint reviews, and retrospectives.

• Manage delivery through tools such as JIRA and/or Azure DevOps.

• Ensure stories are well-defined, estimated, prioritized, and linked to business outcomes.

• Track velocity, capacity, defects, risks, dependencies, and release burn-down.

• Promote disciplined engineering practices, including code quality, peer review, automation, testing, and deployment controls.

Data, Cloud & DevOps Delivery

• Manage delivery across modern data platforms and cloud-native environments.

• Coordinate data engineering, transformation, ingestion, analytics, and reporting workstreams.

• Oversee CI/CD pipeline execution, environment readiness, deployment planning, and release validation.

• Support operational readiness through monitoring, observability, incident response, and continuous improvement.

Required Technical Experience

Strong working knowledge across modern enterprise technology delivery, including:

• Cloud & Platform: Microsoft Azure, AKS, Azure Container Apps, Azure Monitor, Azure SQL, Cosmos DB, Azure Data Lake, Fabric / OneLake.

• Data & Analytics: Databricks, Unity Catalog, Azure Data Factory, PySpark, Python, SQL, Power BI, data pipelines, transformations, reconciliation, and data quality.

• Application & Integration: .NET / .NET Core, Angular, REST APIs, microservices, authentication, authorization, and secure enterprise integration.

• DevOps & Delivery Tools: JIRA, Azure DevOps, GitHub, CI/CD pipelines, release management, environment management, automated testing, and deployment governance.

• AI-Enabled Engineering: Exposure to GitHub Copilot, Claude, Codex, Lovable, or similar AI tools supporting SDLC acceleration, code generation, testing, and productivity improvement.

Required Skills & Qualifications

• 10+ years of experience in technology delivery, software engineering, data platforms, or cloud transformation.

• 5+ years in a delivery management, technical program management, or technical project leadership role.

• Strong experience managing enterprise customers in an onsite, high-touch delivery model.

• Proven ability to lead distributed engineering teams across onsite, nearshore, and offshore locations.

• Strong understanding of Agile delivery, sprint execution, release governance, and production deployment practices.

• Ability to challenge teams constructively on estimates, technical approach, quality, and delivery risks.

• Excellent communication skills with the ability to engage both technical teams and senior customer stakeholders.

• Strong problem-solving mindset with ability to manage ambiguity, dependencies, and escalations.

• Experience in regulated, enterprise, audit, financial services, or professional services environments is preferred.

Preferred Experience

• Experience working with large global enterprise customers.

• Prior exposure to audit, risk, compliance, financial services, or professional services platforms.

• Experience managing cloud data platform programs using Azure, Databricks, Fabric, and Power BI.

• Experience with modernization programs involving .NET, Angular, APIs, microservices, and cloud-native deployment.

• Familiarity with operational support, production readiness, observability, performance testing, and incident management.

• Experience driving value-based delivery, productivity improvement, and AI-enabled engineering adoption.

Key Success Measures

• Predictable sprint and release delivery.

• Strong customer confidence and stakeholder satisfaction.

• Clear governance across scope, backlog, UAT, defects, and release readiness.

• Improved delivery quality, reduced rework, and stronger production stability.

• Effective coordination across business, product, engineering, QA, DevOps, and operations teams.

• Proactive risk management and transparent executive communication.

Ideal Candidate Profile

The ideal candidate is a hands-on technical delivery leader who can operate comfortably with senior customer stakeholders while also engaging deeply with engineering teams. They should be able to manage delivery pressure, bring structure to ambiguity, challenge teams constructively, and ensure that commitments are met with quality and transparency.

This is not a purely project management role. It requires someone who understands technology delivery in depth and can lead from the front in a complex, customer-facing enterprise environment.