All active MLOps roles based in London.
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Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.
At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIScale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
As a Principal AI Ops Architect, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.
At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Customer experience
Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.
Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure.
This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.
You’re welcome to work from our office in Amsterdam or remotely from any EU country.
Your responsibilities will include:
We expect you to have:
It will be an added bonus if you have:
Benefits & Perks:
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.
In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.
Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.
If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.
Benefits & Perks:
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Share this job
Location: Waterloo, London, England, UK | Hybrid (1 day per week in office)
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.
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:
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:
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:
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.
At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future.
See our full list of Benefits.
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'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.
We hope to see you apply!
#LI-Hybrid
At 8th Light, one of our core values is Honesty that builds trust — and that shapes how we approach hiring. We want you to have a clear picture of who we are, what we're looking for, and how we handle your information throughout the process.
Before submitting your application, please take a moment to review our Global Candidate Privacy Notice. By applying, you acknowledge that you've read it.
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Apply to 8th Light
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
Much of our work takes place in high-security on-premise environments, and we are looking for Site Reliability Engineer to support our high security environments.
Your role as a Site Reliability Engineer will be to design, implement, and manage our on-premise Kubernetes infrastructure.
We are looking for engineers with a strong work ethic and prioritisation skills. We value team players who communicate clearly, share knowledge generously, and collaborate effectively to move their team — and our mission—forward.
As a SRE, you will design and build cloud-native infrastructure platforms on-premises, focusing on Kubernetes-based solutions that enable our development teams to operate services at scale.
You will create robust observability frameworks using Grafana, Prometheus, and distributed tracing to ensure system reliability and performance
You will architect and implement secure, multi-tenant Kubernetes clusters with strong access controls, policy-as-code governance, and zero-trust networking between red and black network domains. You will develop operators and controllers to automate infrastructure provisioning and compliance
You will build and maintain MLOps platforms enabling AI researchers to deploy, monitor, and scale machine learning models in production.
You will collaborate closely with our Security teams to implement supply chain security, container scanning, and runtime protection across our cloud-native stack
Experience with GitOps workflows and CI/CD automation
Kubernetes Expertise: deep experience operating production Kubernetes clusters, writing custom controllers/operators, and implementing service mesh architectures (Istio/Linkerd)
Cloud-Native Technologies: hands-on experience with CNCF ecosystem, e.g. including Helm, ArgoCD, Flux and container runtime security tools like Falco
Observability Stack: expert-level knowledge of Grafana, Prometheus, Loki, Tempo, and OpenTelemetry. Experience building custom dashboards, alerts, and SLI/SLO frameworks
Networking: Expert understanding of networking concepts, protocols and security
MLOps Platforms: experience with Kubeflow, MLflow, or similar platforms
Infrastructure as Code: proficiency with Terraform, Ansible, and Kubernetes manifest templating. Experience with policy-as-code tools like OPA/Gatekeeper
System Administration: deep understanding of Linux/Unix system administration and highly available, distributed systems
Comfortable building out data and telemetry pipelines for debugging and future-proofing solutions
Have a high level of personal integrity, reliability, and attention to detail
Have a software engineering mindset with a passion for building platforms and tools that multiply developer productivity
Have experience running cloud-native workloads in on-premises or air-gapped environments
Are willing to relocate to Munich, London, or Berlin.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
Note: We operate at an intersection where women, as well as other minority groups, are systemically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
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 Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.
The Team
The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.
If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!
Responsibilities and Duties
Candidate Profile
Essential:
Desirable:
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
Ready to apply?
Apply to 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 Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.
The Team
The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.
If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!
Responsibilities and Duties
Candidate Profile
Essential:
Desirable:
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
Ready to apply?
Apply to Graphcore
Share this job
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 Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.
The Team
The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.
If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!
Responsibilities and Duties
Candidate Profile
Essential:
Desirable:
In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. 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.
Ready to apply?
Apply to 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 Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.
The Team
The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.
If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!
Responsibilities and Duties
Candidate Profile
Essential:
Desirable:
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
Ready to apply?
Apply to Graphcore
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
As a Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).
This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.
This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.
In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.
This is a full-time role based in our office in London (2 days a week in the office). 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.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
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Apply to Wayve
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
This is a rare opportunity to be a founding Staff SRE shaping the reliability of large-scale AI systems and GPU compute infrastructure from the ground up.
As a Staff Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).
This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.
This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.
In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.
This is a full-time role based in our office in London (2 days a week in the office). 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.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
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The Monolith AI Platform Engineering Team at CoreWeave is responsible for building and scaling the data and workflow backbone that powers the world’s most advanced engineering simulation and AI workflows — our ambition is to become the super‑intelligent AI test lab for the engineering industry, helping customers ship science, faster. From high‑throughput data ingestion and feature pipelines to model training and real‑time inference, our platform delivers the performant, reliable, and trustworthy data foundation trusted by the world’s largest engineering companies.
The Staff Data Engineer will own and evolve Monolith’s platform data services and ETL offerings — the data onboarding, preparation, and lineage capabilities that turn fragmented, real‑world engineering data into production‑ready training and inference pipelines. You’ll partner with Product, Engineering, and Customer‑facing teams to deeply understand client data challenges and translate them into scalable, self‑serve data platform features.
We’re seeking a Staff Data Engineer who can own Monolith’s data platform surface end‑to‑end: from offline batch pipelines and large historical backfills to low‑latency, real‑time streaming data flows that power online inference and feedback loops. You’ll define and drive our data architecture, champion data quality and lineage, and decide how customer data moves through Monolith from raw ingestion to governed, observable, and reproducible training sets.
You’ll primarily work with internal teams (Product, Customer Success, Forward‑Deployed Engineers, Software Engineers, Data Scientists), and step in as a domain expert when clients need deeper guidance.
In this role, you will:
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match. If some of this describes you, we’d love to talk:
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
We support and encourage an entrepreneurial outlook and independent thinking, and foster an environment that encourages collaboration and innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results
What We Offer
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
Benefits may vary by location.
Our Workplace
While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms & Conditions associated with the use of CVs will be considered null and void.
Any unsolicited CVs sent by your company to us – that is to say, in any situation where we have not directly engaged your company in writing to supply candidates for a specific vacancy – will be considered by us to be a “free gift”, leaving us liable for no fees whatsoever should we choose to contact the candidate directly and engage the candidate’s services, and will in no way establish any prior claim by your company to representation of that candidate should the candidate’s details also be submitted by any other party.
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Updated privacy notice - UK and EU Job Applications
When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. (“Controller”), which is located at
Phosphor (6th Floor), 133 Park Street, London, SE1 9EA
and can be contacted by emailing careers.eu@coreweave.com. Controller’s data protection officer can be contacted at privacy@coreweave.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of (i) Regulation (EU) 2016/679 (General Data Protection Regulation (“GDPR”) and (ii) the GDPR as it forms part of the laws of the UK (“UK GDPR”), as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. With respect to transfers originating from the UK or the European Economic Area ("EEA") to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross-border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at privacy@coreweave.com
Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law, we may also retain your personal data for a limited period after the recruitment process ends in order to consider you for future job opportunities, respond to legal claims, or comply with record-keeping obligations. Under the GDPR and the UK GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with the relevant supervisory authority: (i) A list of Europe’s data protection authorities can be found here; and (ii) for the UK, this is the Information Commissioner's Office.
For additional information, please see our Privacy Policy.
Ready to apply?
Apply to CoreWeave Europe
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The Monolith AI Platform Engineering Team at CoreWeave is responsible for building and scaling the data and workflow backbone that powers the world’s most advanced engineering simulation and AI workflows — our ambition is to become the super‑intelligent AI test lab for the engineering industry, helping customers ship science, faster. From high‑throughput data ingestion and feature pipelines to model training and real‑time inference, our platform delivers the performant, reliable, and trustworthy data foundation trusted by the world’s largest engineering companies.
The Senior DataOps Engineer II will own and drive all things data observability and operations across our client estate — building the practices, tooling, and culture that make Monolith’s data flows debuggable, auditable, and safe to evolve. You’ll sit at the intersection of platform engineering, data engineering, and reliability, implementing end‑to‑end lineage and DataOps practices while mentoring data producers and consumers on how to manage data as a first‑class product.
You’ll partner closely with Monolith’s Product, Engineering and forward‑deployed teams, as well as with CoreWeave’s infrastructure and AI platform groups, to turn fragmented, real‑world engineering data into well‑governed, observable, and operationally robust pipelines powering our SaaS platform and client‑specific deployments.
We’re seeking an Senior DataOps Engineer II who can act as the hands‑on owner for Monolith’s data observability and operational surface: from batch and streaming pipelines running on our platform, through to the lineage, quality, and runbooks that keep customer environments healthy.
You’ll define and roll out DataOps practices (CI/CD, infra‑as‑code, data SLOs, incident response) across the Monolith estate, implement end‑to‑end data lineage and observability, and serve as the go‑to mentor for engineering teams and client‑facing colleagues on best‑practice data management.
In this role, you will:
We believe in investing in our people, and value candidates who bring diverse experiences — even if you don’t tick every single box. Here are a few qualities we’ve found compatible with our team. If some of this sounds like you, we’d love to talk:
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
We support and encourage an entrepreneurial outlook and independent thinking, and foster an environment that encourages collaboration and innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results
What We Offer
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
Benefits may vary by location.
Our Workplace
While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms & Conditions associated with the use of CVs will be considered null and void.
Any unsolicited CVs sent by your company to us – that is to say, in any situation where we have not directly engaged your company in writing to supply candidates for a specific vacancy – will be considered by us to be a “free gift”, leaving us liable for no fees whatsoever should we choose to contact the candidate directly and engage the candidate’s services, and will in no way establish any prior claim by your company to representation of that candidate should the candidate’s details also be submitted by any other party.
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Updated privacy notice - UK and EU Job Applications
When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. (“Controller”), which is located at
Phosphor (6th Floor), 133 Park Street, London, SE1 9EA
and can be contacted by emailing careers.eu@coreweave.com. Controller’s data protection officer can be contacted at privacy@coreweave.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of (i) Regulation (EU) 2016/679 (General Data Protection Regulation (“GDPR”) and (ii) the GDPR as it forms part of the laws of the UK (“UK GDPR”), as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. With respect to transfers originating from the UK or the European Economic Area ("EEA") to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross-border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at privacy@coreweave.com
Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law, we may also retain your personal data for a limited period after the recruitment process ends in order to consider you for future job opportunities, respond to legal claims, or comply with record-keeping obligations. Under the GDPR and the UK GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with the relevant supervisory authority: (i) A list of Europe’s data protection authorities can be found here; and (ii) for the UK, this is the Information Commissioner's Office.
For additional information, please see our Privacy Policy.
Ready to apply?
Apply to CoreWeave Europe
Share this job
What You’ll Do:
The Data Science team is focused on developing an advanced reliability platform. This system covers various aspects of data processing and analysis, including data intake, deriving meaningful metrics, identifying unusual patterns, predicting potential issues, finding slow processes in distributed systems, and using automated analysis to determine causes. We collaborate closely with internal teams like Fleet, Infrastructure, and AI Platform to enhance system stability, optimize resource use, shorten resolution times, and maintain service availability and financial performance.
About the role:
As a Senior Data & MLOps Engineer, you will design and scale the infrastructure supporting the GPU Intelligence Platform. This involves building pipelines for handling data, features, model training, and delivering insights and predictions for system health and optimization. You will transition the system from initial prototypes to a production environment operating across the fleet, focusing on scalability, separating real-time service from periodic processing, and dynamic resource management based on system load and data frequency. You will architect and deploy these scalable distributed services using orchestration technologies.
Key responsibilities:
Who You Are:
Preferred:
Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results
What We Offer
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
Benefits may vary by location.
Our Workplace
While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms & Conditions associated with the use of CVs will be considered null and void.
Any unsolicited CVs sent by your company to us – that is to say, in any situation where we have not directly engaged your company in writing to supply candidates for a specific vacancy – will be considered by us to be a “free gift”, leaving us liable for no fees whatsoever should we choose to contact the candidate directly and engage the candidate’s services, and will in no way establish any prior claim by your company to representation of that candidate should the candidate’s details also be submitted by any other party.
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Updated privacy notice - UK and EU Job Applications
When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. (“Controller”), which is located at
Phosphor (6th Floor), 133 Park Street, London, SE1 9EA
and can be contacted by emailing careers.eu@coreweave.com. Controller’s data protection officer can be contacted at privacy@coreweave.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of (i) Regulation (EU) 2016/679 (General Data Protection Regulation (“GDPR”) and (ii) the GDPR as it forms part of the laws of the UK (“UK GDPR”), as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. With respect to transfers originating from the UK or the European Economic Area ("EEA") to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross-border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at privacy@coreweave.com
Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law, we may also retain your personal data for a limited period after the recruitment process ends in order to consider you for future job opportunities, respond to legal claims, or comply with record-keeping obligations. Under the GDPR and the UK GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with the relevant supervisory authority: (i) A list of Europe’s data protection authorities can be found here; and (ii) for the UK, this is the Information Commissioner's Office.
For additional information, please see our Privacy Policy.
Ready to apply?
Apply to CoreWeave Europe
Share this job
What You’ll Do:
The Monolith AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI workflows. From evolving distributed architecture to enabling the next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies.
About the role:
We’re seeking a Principal Software Engineer to lead the architectural evolution of our platform as we scale to meet growing demand from the world’s largest engineering companies. This is a hands-on technical leadership role where you’ll drive critical architectural initiatives while mentoring our engineering team. You’ll own — in conjunction with the VP of Engineering — the technical vision and execution of our platform’s evolution to a more distributed architecture, making it agentic ready for the next generation of AI applications.
In this role, you will:
Who You Are:
Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results
What We Offer
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
Benefits may vary by location.
Our Workplace
While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms & Conditions associated with the use of CVs will be considered null and void.
Any unsolicited CVs sent by your company to us – that is to say, in any situation where we have not directly engaged your company in writing to supply candidates for a specific vacancy – will be considered by us to be a “free gift”, leaving us liable for no fees whatsoever should we choose to contact the candidate directly and engage the candidate’s services, and will in no way establish any prior claim by your company to representation of that candidate should the candidate’s details also be submitted by any other party.
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Updated privacy notice - UK and EU Job Applications
When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. (“Controller”), which is located at
Phosphor (6th Floor), 133 Park Street, London, SE1 9EA
and can be contacted by emailing careers.eu@coreweave.com. Controller’s data protection officer can be contacted at privacy@coreweave.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of (i) Regulation (EU) 2016/679 (General Data Protection Regulation (“GDPR”) and (ii) the GDPR as it forms part of the laws of the UK (“UK GDPR”), as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. With respect to transfers originating from the UK or the European Economic Area ("EEA") to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross-border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at privacy@coreweave.com
Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law, we may also retain your personal data for a limited period after the recruitment process ends in order to consider you for future job opportunities, respond to legal claims, or comply with record-keeping obligations. Under the GDPR and the UK GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with the relevant supervisory authority: (i) A list of Europe’s data protection authorities can be found here; and (ii) for the UK, this is the Information Commissioner's Office.
For additional information, please see our Privacy Policy.
Ready to apply?
Apply to CoreWeave Europe
Share this job
Location: Waterloo, London, England, UK | Hybrid (1 day per week in office)
At 8th Light, we bring life to the best ideas.
Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimise our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise.
Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients.
If this kind of work and our kind of people energizes you, you’ve found the right place.
You’ve shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have:
As a senior technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for:
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:
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.
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:
See our full list of Benefits.
At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs.
We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Senior Engineer position within London is: £56,640-£70,800 GBP.
Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market.
8th Light'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.
We hope to see you apply!
#LI-Hybrid
At 8th Light, one of our core values is Honesty that builds trust — and that shapes how we approach hiring. We want you to have a clear picture of who we are, what we're looking for, and how we handle your information throughout the process.
Before submitting your application, please take a moment to review our Global Candidate Privacy Notice. By applying, you acknowledge that you've read it.
Ready to apply?
Apply to 8th Light
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As an AI Engineer at DRW, you will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role.
Key Responsibilities:
Qualifications:
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.
California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.
#LI-BL1
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At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
We’re looking for a Conversational Analytics Engineer with strong expertise across the Google Cloud Platform ecosystem to drive forward conversational analytics and AI solutions.
This role blends hands-on engineering, AI/ML innovation and client-facing problem solving. You’ll work across traditional data engineering and emerging LLM / agentic AI patterns, helping design and deploy scalable, production-ready solutions.
Role responsibilities
Data Engineering, AI & Delivery
Problem Solving & Client Engagement
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
This is a full time position based in the UK.
Beyond a competitive compensation package, we offer:
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud!
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
Ready to apply?
Apply to Valtech
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Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
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Flow Traders is looking for a Senior Research Engineer to join us in our London office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities.
As a Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and using it to conduct research to develop models for trading in production. You'll expand the framework to become global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way. You will then partner with Quantitative Researchers to build the trading models themselves.
Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.
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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…
Ready to apply?
Apply to PhysicsX
Share this job
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…
Ready to apply?
Apply to PhysicsX
Share this job
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Why Engineering at Dataiku?
Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset).
Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.
How you’ll make an impact
This position is either onsite/hybrid from our London office or full remote from any part of the UK.
As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:
What you need to be successful
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As a Junior Engineer in our London office, your role will encompass:
Please send your CV to hr-uk@artefact.com
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Apply to LinkedIn Job WrappingShare this job
As a Senior Data Scientist in our London office, your role will encompass:
Please send your CV to hr-uk@artefact.com
Ready to apply?
Apply to ArtefactShare this job
As a Junior Software Engineer in our London office, your role will encompass:
Hybrid working pattern
Ready to apply?
Apply to ArtefactShare this job
As a Senior Data Scientist in our London office, your role will encompass:
Ready to apply?
Apply to LinkedIn Job Wrapping
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
As a Lead Data Scientist, you bring strong commercial experience applying data science to solve real-world business challenges. You are comfortable working across classical machine learning and emerging AI techniques, particularly in LLM/Agentic AI space.
You can move between hands-on modelling, exploring new approaches (e.g. LLMs), and explaining insights clearly to non-technical stakeholders. With a pragmatic, problem-solving mindset, you help shape opportunities and deliver impactful solutions.
You will thrive in this role if you are:
Role Responsibilities:
Data Science, AI & Delivery
Problem Scoping & Client Engagement
Must have Qualifications:
Nice to have Qualifications:
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps.
⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com.
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
Ready to apply?
Apply to Valtech
Share this job
Miro is looking for a Machine Learning Research Engineer to serve as the technical "North Star" for our Machine Learning organization. You will operate as an Individual Contributor, driving the architectural decisions behind the "Intelligent Canvas."
Your challenge is unique in the industry: You are not just processing text. You are building models that understand spatial relationships, visual diagrams, and unstructured collaboration. You will research, prototype, and ship novel architectures that combine Large Language Models (LLMs), Computer Vision, and Graph Neural Networks (GNNs) to make Miro the smartest collaboration platform on earth.
Education + Experience
LON:
Multi Location: Amsterdam / Berlin / Yerevan / London:
Recruiter: #LI-MH1
Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co-headquartered in San Francisco and Amsterdam, serves more than 100M users and 250,000 companies collaborate in the Innovation Workspace. Miro was founded in 2011 and currently has more than 1,600 employees in 13 hubs around the world.
We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you!
Check out more about life at Miro:
At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences. Miro’s mission — Empower teams to create the next big thing — is how we think about our product, people, and culture. We believe that creating big things requires diverse and inclusive teams. Diversity invites all talent with different demography, identities and styles to step in, and inclusion invites them to step closer together. Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences.
Miro handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here.
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Req ID: CSQ327R44
Location: Hybrid – London
We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect.
You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership.
As a Big Data Solutions Architect (Internal Title - Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
What we look for:
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
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CSQ327R39
We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as a Senior Solutions Consultant or a Resident Solutions Architect.
You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership.
As a Data Platform Solutions Architect (Internal Title - Resident Solutions Architect) on our Professional Services team for the Emerging Enterprise & Digital Natives business in EMEA, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
What we look for:
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Share this job
REQ ID: FEQ127R254
Location: Hybrid – London
We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect.
You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership.
As a Big Data Solutions Architect (Internal Title - Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
What we look for:
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Share this job
Req ID: CSQ127R149
Location: United Kingdom Remote with occasional travel to the London office and clients' sites.
We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect.
You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership.
As a Resident Solutions Architect in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
What we look for:
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Share this job
At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.
We are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
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At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
JetBrains is evolving beyond standalone developer tools toward a unified, AI-native platform for software development.
AI is no longer just an assistant inside the editor – it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift introduces new challenges that cannot be solved at the level of individual tools alone: governance, security, cost control, observability, and coordinated work between humans and autonomous agents.
Our goal is to build a platform that enables companies to adopt AI in software development in a structured, scalable, and economically efficient manner without locking them into closed ecosystems. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments.
We are looking for an experienced ML leader who has created products with an ML backbone, weaving together research, technical excellence, and strong product focus.
We are seeking a professional who excels in three key areas: technology, product vision, and business operations. This role involves extensive cooperation with products across the company – both AI-native and just integrating AI.
#LI-KP1 #LI-HYBRID
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Share this job
We are hiring a Principal Machine Learning Engineer to work on cutting-edge R&D and translating research into customer-centric solutions.
As innovators in speech technology, our mission is to Understand Every Voice—a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Principal Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions.
Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving.
This is a hands-on, technical leadership role with high ownership. You will develop and deploy advanced speech systems that power our products as well as co-define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase.
What You’ll Do:
What We’re Looking For:
With preferred backgrounds covering some of the following:
We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we’re looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you.
Who we are:
Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case – making it the go-to solution to harness useful information from speech.
Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we’ll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance.
We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster.
This is only the beginning; we’re looking for amazing people like you to continue our journey…
What we can offer you:
No matter what stage of your career you’re at - from paid internships and first-job opportunities through to management and senior positions - we’ll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work.
We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that’s not all. We’ve spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families.
At Speechmatics, our mission is simple: Understand Every Voice out there.
That's not just about our tech – it's the heart and soul of who we are. We welcome different experiences, viewpoints, and identities. For us, it’s not just the right thing to do; it’s our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone – no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status.
But we don’t just open the door to diversity – we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace.
So, come as you are and join our Speechling community. We’re building a place where every voice not only gets heard but is also respected and valued.
For more information on us, please visit our website and follow Speechmatics on our social channels via Twitter, Facebook, LinkedIn, and YouTube.
Ready to apply?
Apply to Speechmatics
Share this job
We are hiring a Principal Machine Learning Engineer to work on cutting-edge R&D and translating research into customer-centric solutions.
As innovators in speech technology, our mission is to Understand Every Voice—a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Principal Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions.
Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving.
This is a hands-on, technical leadership role with high ownership. You will develop and deploy advanced speech systems that power our products as well as co-define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase.
What You’ll Do:
What We’re Looking For:
With preferred backgrounds covering some of the following:
We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we’re looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you.
Who we are:
Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case – making it the go-to solution to harness useful information from speech.
Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we’ll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance.
We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster.
This is only the beginning; we’re looking for amazing people like you to continue our journey…
What we can offer you:
No matter what stage of your career you’re at - from paid internships and first-job opportunities through to management and senior positions - we’ll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work.
We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that’s not all. We’ve spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families.
At Speechmatics, our mission is simple: Understand Every Voice out there.
That's not just about our tech – it's the heart and soul of who we are. We welcome different experiences, viewpoints, and identities. For us, it’s not just the right thing to do; it’s our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone – no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status.
But we don’t just open the door to diversity – we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace.
So, come as you are and join our Speechling community. We’re building a place where every voice not only gets heard but is also respected and valued.
For more information on us, please visit our website and follow Speechmatics on our social channels via Twitter, Facebook, LinkedIn, and YouTube.
Ready to apply?
Apply to Speechmatics
About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
1211 - Director, Data Science - DTA
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
About Choreograph: A Leading WPP Media Brand
Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.
We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.
We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.
Role Summary and Impact
The Data Science Director, plays a critical leadership role as part of a broader team in the deployment and development of predictive models for our customers. You will lead and mentor a team, working collaboratively with senior Google Cloud and Google Marketing experts to apply advanced modeling techniques to enhance our customers' media/marketing solutions. As Team Lead you will be responsible for guiding the team in building out industry-relevant predictive models that can be applied to optimize our customers' media investments.
The role focuses on leading the application of analytical solutions based on machine learning & statistical predictive algorithms on top of the Google technology stack and agent development for our customers. We are looking for a Team Lead with significant experience in algorithmic data analysis, proven scientific research skills, and a track record of leading successful data science initiatives.
Skills and Experience
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
This is an excellent opportunity for a Team Lead, to join the Data and Technology Consulting Team. You will be instrumental in strategising how to tackle and take apart large and messy datasets of structured and unstructured data, oversee the building and implementation of models and algorithms, agents and design and run experiments to optimise clients customer insights, analytics and customer experience. The ideal candidate will have a love of getting their hands dirty, while also empowering and developing their team to do the same.
RESPONSIBILITIES:
REQUIREMENTS:
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Please note this is a UK based role and requires individuals to have the right to work in this location
Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.
#LI-Promoted
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP MediaMaven’s Systematic Equities team deploys research-driven strategies across global equity markets, powered by some of the most advanced technology available. Our approach to trading is scientific and process-driven, with a strong emphasis on a flexible research environment, providing us with efficient means to rapidly develop, test, and deploy new ideas. We empower our team members and maximise their ability to succeed by offering an environment that is open, collaborative, and supportive. We value creativity and are aggressive to capitalise on opportunities.
We are looking for an experienced Python Engineer (Platform / ML) to join the mid-frequency-equities desk and help build, maintain, and support all aspects of the trading platform. The role is hands-on and production-facing: you will be expected to react quickly to urgent desk needs, while making pragmatic trade-offs between optimal architecture and fast, reliable delivery.
We are a small and nimble team that makes extensive use of CI/CD, AI tooling, and peer code review to ensure quality and maintainability while keeping time-to-market short. You will be able to see the impact of your work immediately and will be in a unique position to directly contribute to trading revenue.
Ready to apply?
Apply to MavenShare this job
Miro is the online workspace for innovation, used by 100M+ people to build the next big thing. We are seeking a Research Manager to lead the team defining the brain behind the "Intelligent Canvas."
This is not for building a standard GenAI or Recommendation engine. You will lead a team operating at the intersection of Vision, Language, and Graph Theory, working with a dataset unlike any other in the industry: spatial, unstructured, and deeply human collaboration data. You will bridge the gap between open-ended research (LLMs, Diffusion Models, GNNs) and product impact, empowering teams to dream, design, and build faster.
What You'll Do
What We're Looking For
Education + Experience
Bonus (Nice-to-Have)
We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.
Recruiter: #LI-MH1
Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co-headquartered in San Francisco and Amsterdam, serves more than 100M users and 250,000 companies collaborate in the Innovation Workspace. Miro was founded in 2011 and currently has more than 1,600 employees in 13 hubs around the world.
We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you!
Check out more about life at Miro:
At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences. Miro’s mission — Empower teams to create the next big thing — is how we think about our product, people, and culture. We believe that creating big things requires diverse and inclusive teams. Diversity invites all talent with different demography, identities and styles to step in, and inclusion invites them to step closer together. Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences.
Miro handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here.
Ready to apply?
Apply to Miro
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Management Consultant: Data Analytics Lead – Managing Principal (Director)
Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent
Lead the strategy. Grow the practice. Redefine data excellence.
The Role
Capco is seeking a visionary Data Analytics Lead at Managing Principal level to spearhead the strategy and growth of our award-winning Data Practice. You’ll lead a team of multidisciplinary practitioners delivering high-impact analytics, AI, and data science projects across the Financial Services sector. This leadership role combines business development, client engagement, capability growth, and proposition innovation.
What You’ll Do
Shape and drive the growth of Capco’s UK Data Practice, contributing to global data initiatives
Identify and develop business opportunities, proposals, and data propositions for new and existing clients
Lead client relationships, guide data strategy discussions, and represent Capco at industry forums
Inspire, mentor, and grow a high-performing team of data professionals, fostering a collaborative and inclusive culture
Support delivery of complex, innovative data projects that deliver commercial and customer-focused outcomes
What We’re Looking For
8+ years of experience in consulting and currently operating at a senior management or director level
Track record of building client relationships and securing data-related business opportunities
Expertise across data domains: data strategy, data governance, data privacy, and analytics delivery
Strong understanding of data science, AI, MLOps, BI tools, ethics in AI, and analytics operating models
Proven ability to lead large-scale data transformation initiatives within Financial Services
Bonus Points For
Experience managing teams in multi-client environments with a focus on collaboration and delivery
Strong background in programme execution, change management, and stakeholder alignment
Familiarity with industry-recognised frameworks and tools across AI and data management
Contributions to thought leadership and innovation in data and analytics
Demonstrated capability in talent recruitment, development, and performance leadership
Why Join Capco
Deliver high-impact technology solutions for Tier 1 financial institutions
Work in a collaborative, flat, and entrepreneurial consulting culture
Access continuous learning, training, and industry certifications
Be part of a team shaping the future of digital financial services
Help shape the future of digital transformation across FS & Energy.
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick—workshops, certifications, e-learning—your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
Healthcare Access: Convenient online GP services.
Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
#LI-DNI
Ready to apply?
Apply to CapcoApplied AI & Analytics - Principal Consultant
Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent
Lead AI-enabled data and analytics programmes that deliver measurable impact across Financial Services. Lead the AI future.
The Role
You’ll lead complex, AI-enabled data and analytics programmes across the financial services sector, combining strategic leadership with deep expertise in applied AI, machine learning and advanced analytics to help clients deliver measurable outcomes at scale.
What You’ll Do
What We’re Looking For
Bonus Points For
Why Join Capco
Deliver high-impact technology solutions for Tier 1 financial institutions
Work in a collaborative, flat, and entrepreneurial consulting culture
Access continuous learning, training, and industry certifications
Be part of a team shaping the future of digital financial services
Help shape the future of digital transformation across FS & Energy.
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders.
Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, e-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
Healthcare Access: Convenient online GP services.
Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance.
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. #LI-DNI
Ready to apply?
Apply to CapcoData Analytics – Principal Consultant
Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent
Champion innovation. Grow capabilities. Deliver real-world outcomes.
The Role
As a Data Analytics Principal Consultant, you’ll take a central role in supporting the continued growth of Capco’s UK Data Practice. You'll lead complex data and analytics programmes across the financial services sector while mentoring talent, guiding clients and driving innovation across topics such as Cloud, AI and Machine Learning.
What You’ll Do
Deliver cutting-edge data transformation initiatives across top-tier financial institutions
Provide leadership and mentoring to data consultants, helping shape career development
Build strong client relationships and lead data propositions and sales opportunities
Engage with technical and non-technical stakeholders to champion data literacy and adoption
Represent Capco’s Data Practice in the market to enhance visibility and develop partnerships
What We’re Looking For
Minimum 5 years of experience in a consulting or senior management role
Deep knowledge of data and analytics disciplines such as data quality, governance, BI and ML
Strong stakeholder engagement skills, from C-suite through to delivery teams
Experience designing and executing complex data programmes within Financial Services
Ability to operate across multiple workstreams while developing internal capability
Bonus Points For
Prior experience in business development or pre-sales within a consultancy environment
Hands-on familiarity with modern data science, MLOps or AI operationalisation
Knowledge of data ethics, AI governance or analytics operating models
Change management or business analysis experience within large transformation programmes
Confidence in navigating both technical and strategic client discussions
Why Join Capco
Deliver high-impact technology solutions for Tier 1 financial institutions
Work in a collaborative, flat, and entrepreneurial consulting culture
Access continuous learning, training, and industry certifications
Be part of a team shaping the future of digital financial services
Help shape the future of digital transformation across FS & Energy.
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, e-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
Healthcare Access: Convenient online GP services.
Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance.
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. #LI-DNI
Ready to apply?
Apply to CapcoSenior Data Engineer - GCP
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Shape the future of financial services through cloud-first data innovation
The Role
We’re looking for a GCP Senior Data Engineer to join our growing Technology & Engineering team in London. You’ll work with Tier 1 financial institutions on cutting-edge transformation programmes, using your deep expertise in Google Cloud Platform to build robust, scalable data solutions. This role is ideal for engineers who thrive on innovation, take ownership of challenges, and enjoy working in collaborative, agile teams.
What You’ll Do
Design and build resilient, scalable data pipelines using GCP services such as BigQuery, Dataflow, and Dataproc.
Collaborate closely with clients to define business requirements and architect fit-for-purpose data solutions.
Apply engineering best practices across the SDLC, including CI/CD, testing, and version control using Git.
Support the migration of legacy on-premise systems to cloud-native architectures.
Champion data governance, security, and compliance, especially in regulated environments.
What We’re Looking For
Strong hands-on experience with GCP including BigQuery, Pub/Sub, Cloud Composer, and IAM.
Proven ability in Python, SQL, and PySpark; experience with data lakes, warehousing, and data modelling.
Demonstrated knowledge of DevOps principles, containerisation, and CI/CD tools such as Jenkins or GitHub Actions.
A track record of delivering data engineering solutions in agile environments.
Confident communication skills, able to convey technical concepts to non-technical stakeholders.
Bonus Points For
Experience with real-time streaming tools like Kafka or Spark Streaming.
Exposure to MLOps practices and maintaining ML models in production.
Familiarity with data visualisation tools such as Power BI, Qlik, or Tableau.
Experience of developing applications on VertixAI is preferable
Knowledge of both SQL and NoSQL solutions, and the ability to assess trade-offs between ETL and ELT.
Why Join Capco
Deliver high-impact technology solutions for Tier 1 financial institutions
Work in a collaborative, flat, and entrepreneurial consulting culture
Access continuous learning, training, and industry certifications
Be part of a team shaping the future of digital financial services
Help shape the future of digital transformation across FS & Energy
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick—workshops, certifications, e-learning—your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
Healthcare Access: Convenient online GP services.
Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.
Inclusion at Capco
We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity and inclusivity, and we bring a collaborative mindset to our partnerships with clients and colleagues. #BeYourselfAtWork is the cornerstone of our success and a value that our employees live and breathe every day.
#LI-DNI
Ready to apply?
Apply to CapcoPrincipal Data Engineer - GCP
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Shape the future of financial services through cloud-first data innovation
The Role
We’re looking for a Principal GCP Data Engineer to join our growing Technology & Engineering team in London. You’ll work with Tier 1 financial institutions on cutting-edge transformation programmes, using your deep expertise in Google Cloud Platform to build robust, scalable data solutions. This role is ideal for engineers who thrive on innovation, take ownership of challenges, and enjoy working in collaborative, agile teams.
What You’ll Do
What We’re Looking For
Bonus Points For
Why Join Capco
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Inclusion at Capco
We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity and inclusivity, and we bring a collaborative mindset to our partnerships with clients and colleagues. #BeYourselfAtWork is the cornerstone of our success and a value that our employees live and breathe every day.
#LI-DNI
Ready to apply?
Apply to CapcoLead AI Engineer (Principal Consultant)
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems.
The Role
We’re looking for a Lead AI Engineer (Principal Consultant) to join our Technology Delivery Team. You’ll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you’ll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration.
What You’ll Do
Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video)
Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG
Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency
Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments
Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption
What We’re Looking For
Bachelor’s degree or higher in Computer Science, AI, or related STEM fields
Hands-on experience deploying LLMs and multi-modal models at scale
Strong engineering background in Python with proven backend and API development skills
Solid understanding of scalable MLOps, observability, and cloud-native AI deployment
Excellent communication, problem-solving, and project management skills in agile environments
Bonus Points For
Experience with agentic frameworks (e.g., LangChain, LlamaIndex)
Experience in deep learning frameworks and front-end development
Familiarity with Langfuse, Langsmith, or other LLM observability tools
Understanding of Model Context Protocol and bias/hallucination mitigation techniques
Previous success in integrating GenAI solutions into enterprise-scale systems
Why Join Capco
Deliver high-impact technology solutions for Tier 1 financial institutions
Work in a collaborative, flat, and entrepreneurial consulting culture
Access continuous learning, training, and industry certifications
Be part of a team shaping the future of digital financial services
Help shape the future of digital transformation across FS & Energy.
Benefits
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
#LI-DNI
Ready to apply?
Apply to CapcoSenior Data Scientist
Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent
Shape intelligent solutions. Lead with insight. Drive data innovation.
The Role
We are looking for a Senior Data Scientist to join Capco’s growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment.
What You’ll Do
Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments
Develop and prototype ML models to solve complex business challenges using modern techniques and tooling
Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables
Guide and coach data science pods, supporting skill development and solution design
Act as a subject matter expert on ML architecture, model calibration and productionisation
What We’re Looking For
Hands-on experience building and deploying data science solutions in Python and related ML libraries
Strong background in applied machine learning, model development and data engineering
Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift
Demonstrated ability to lead cross-functional teams and mentor junior practitioners
Ability to communicate complex technical concepts clearly to non-technical audiences
Bonus Points For
Participation in Kaggle or other data science competitions
Experience with MLOps practices (CI/CD, model monitoring, DevOps integration)
Familiarity with advanced NLP frameworks such as spaCy or Transformers
MSc or PhD in a numerate discipline
Financial services or banking experience
Why Join Capco
Deliver high-impact technology solutions for Tier 1 financial institutions
Work in a collaborative, flat, and entrepreneurial consulting culture
Access continuous learning, training, and industry certifications
Be part of a team shaping the future of digital financial services
Help shape the future of digital transformation across FS & Energy.
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day. #LI-DNI
Ready to apply?
Apply to CapcoData Science Manager
Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent
Shape intelligent solutions. Lead with insight. Drive data innovation.
The Role
We’re looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You’ll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable solutions that deliver measurable business value.
What You’ll Do
What We’re Looking For
Bonus Points For
Why Join Capco
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Inclusion at Capco
We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know -we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity, and inclusion, and we bring a collaborative mindset to everything we do #LI-DNI
Ready to apply?
Apply to CapcoAt DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and AI consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year (2024), achieved the Golden Tier status in the Databricks Partner Program, and made three consecutive appearances on the Financial Times FT1000 list.
We are currently looking for a Senior Data Engineer to join us remotely in the UK as we plan to set up a hub in the UK in the following 6-12 months to enable our GTM strategy. You will work with our EMEA and US customers to help them solve their data engineering, ML, ML Ops, and cloud migration puzzles.
"As a Data Engineer at DATAPAO, you will have the unique opportunity to push the boundaries of technology and lead the way in how data transforms the world. We work with customers who want to innovate and change their industries. So it never gets boring! Sorting out a complex technical puzzle, setting up a new data architecture from scratch, or guiding our customers through adopting the latest technologies is our routine here. Hence, we'd expect you to be more than just a (data) engineer. We'd expect you to breathe and live data, to thrive for knowledge and excellence, and to be keen to build something enduring and impactful for our customers. We'd expect you to be a (data) Paoneer!" (Máté Gulyás, CEO)
What will you do?
As a Senior Data Engineer, you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Although we work for the biggest multinational companies where years-long behemoth projects are the norm, our projects are fast-paced, typically 2 to 4 months long. Most are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship alone or in collaboration with a Project Manager. Additionally, at this seniority level, we expect you to compound your impact across the team and the organization - by supporting our pre-sales process, mentoring more junior engineers, and contributing to hiring best-in-class data talent.
What does it take to fit the bill?
Technical Expertise
Consulting & Client-Facing Skills
Operational Readiness & Soft Skills
You'll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success. Furthermore, you’ll also get to spearhead our regional expansion.
Surely, we know everyone needs a little something to do their best work. Here is a list of some other extras we offer:
IMPORTANT NOTE: Given that we are still sorting our ways out in the UK, this list will likely get an update in the following months, and we're also committed to growing it with us over time.
The gross salary for this position ranges from 70.000 to 100.000 GBP/year, depending on your assessed seniority level during the selection process.
Please note that currently we are unable to support transfer or offer full sponsorship for Skilled Worker visas as we’re just setting foot into the UK.
DATAPAO is a Data Engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement.
We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few.
As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.
For even more insights, check the links below:
Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema (EN) by Máté Gulyás (2021, Spark AI Summit)
Productionising Machine Learning models (EN) by Máté Gulyás (2023, Mndwrk Event)
"Ha a data governance jól működik, az olyan, mint egy láthatatlan szupererő” (HU) by Máté Gulyás (2023, Com-Forth Zóna Podcast)
You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com
We’re firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you’re passionate about data and learning new things, you’ll fit right in, and we'd love to hear back from you.
When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. But if you want to know more about how we store and manage your data, check our privacy policy.
Ready to apply?
Apply to DATAPAO
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