Latest ML Engineer Jobs

.NET Developer

This role involves developing new features for a major social networking platform using modern .NET technologies including .NET 10.0, ASP.NET Core, and C# 14. The developer will work across the full stack with technologies like React, Blazor, and Azure AI, while following Agile practices and contributing to scalable, high-performance systems. The position offers structured career progression and access to cutting-edge technical training.

Noir Rg141Ag, United Kingdom £40,000 – £60,000 pa

.NET Developer

Work as a .NET Developer building and maintaining a high-traffic digital download platform using modern .NET technologies and full-stack tools. Collaborate with a talented team to deliver user-centric web and mobile experiences, with opportunities for rapid career progression. Work involves multithreading, AI integration, and cloud-based development on Azure.

Noir S11Da, United Kingdom £45,000 – £65,000 pa

Senior Developer Relations Manager, ISV

This role involves driving adoption of NVIDIA's AI and computing platforms among independent software vendors (ISVs) by providing technical guidance, enabling integrations, and fostering co-innovation. The person will work closely with developer teams and ISV partners to optimize solutions using NVIDIA technologies like CUDA and Triton, while translating field feedback into product roadmap insights. Key responsibilities include leading technical workshops, developing enablement resources, and collaborating across engineering, product, and marketing to scale developer engagement in emerging tech domains.

NVIDIA United Kingdom

Developer Relations Manager, Retail & Media Entertainment

As a Developer Relations Manager, you will act as the technical point of contact for startups and developers building AI and LLM applications in the retail and media entertainment industries. You will evangelize NVIDIA’s AI technologies, build sample applications, and support developers in optimizing their models. This role involves significant engagement with the developer community, benchmarking performance, and shaping adoption strategies.

NVIDIA Germany

On-site Permanent

Applied Scientist I

This role involves developing and training advanced machine learning models for digital identity verification, with a focus on areas like deepfake detection, bias mitigation, document understanding, and efficient on-device ML. The candidate will conduct research, build multimodal models using synthetic data, optimise training performance across GPUs, and collaborate with engineering teams to deploy solutions globally. Work includes creating large-scale datasets, benchmarking vision-language models, and improving fairness in biometric systems.

Entrust London, United Kingdom

Machine Learning Scientist

We’re Aioi R&D Lab – an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future.We’re looking for dynamic,...

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £55,934 – £83,386 pa

Head of Artificial Intelligence (Gen-AI)

Lead the strategic and technical development of cutting-edge Generative AI solutions, including a proprietary RAG-based conversational agent, across a global services group. Drive end-to-end design, deployment, and optimisation of LLM pipelines and AI agents on large, complex datasets while mentoring engineering teams and shaping the future of AI-powered client engagement.

The Portfolio Group Manchester, United Kingdom £130,000 – £150,000 pa

Hybrid Permanent

Principal AI Scientist - UK Perm

Principal AI ScientistLocation: Remote (UK-based)Salary: £80,000 - £100,000 + BenefitsLocation Requirement: UK applicants onlySponsorship: Unfortunately, visa sponsorship is not available for this position.Principal AI Scientist -Are you an experienced AI Scientist looking to lead cutting-edge research and develop next-generation AI...

Infused Solutions United Kingdom £80,000 – £100,000 pa

Director - Machine Learning - Financial Crime

Leads the UK Financial Crime machine learning portfolio, providing technical direction and ensuring scalable, high-quality model delivery across fraud detection and transaction monitoring. Drives end-to-end model lifecycle ownership, from design and deployment to monitoring and optimisation, while managing a team of data scientists and collaborating with senior stakeholders across compliance, technology, and risk functions. Focuses on regulatory alignment, technical excellence, and operationalisation of ML solutions in a highly controlled environment.

Barclays United Kingdom

On-site Permanent

Lead AI Researcher

The Lead AI Researcher will lead the development and deployment of cutting-edge deep learning systems for high-stakes defence and national security applications. This founding role involves solving ambiguous, mission-critical problems from concept to production, designing advanced AI models, and establishing engineering standards and tooling for a world-class team. Day-to-day work includes close collaboration with leadership to translate operational needs into technical solutions, training and deploying frontier models, and building robust ML infrastructure in a rigorous, security-conscious environment.

Kangal AI London, United Kingdom £100,000 – £200,000 pa

On-site Permanent

Director of Data Science

Leads a cluster of four data science teams focused on logistics optimisation, machine learning, and forecasting for Ocado's advanced grocery fulfillment and delivery systems. Drives the strategy to scale research into production, bridging data science and engineering. Works closely with product, engineering, and senior leadership to deliver high-impact algorithmic solutions in routing, demand prediction, and operational efficiency.

Ocado United Kingdom

Hybrid Permanent

Anthropic Fellows Program

A 4-month, full-time fellowship program offering mentorship and funding for technical talent to conduct empirical AI research aligned with Anthropic’s priorities in AI safety, security, systems, reinforcement learning, or policy. Fellows work on a project with the goal of producing a public output such as a research paper, supported by Anthropic researchers and access to compute resources.

Anthropic United Kingdom

Anthropic Fellows Program, AI Safety & Security

This role involves conducting full-time empirical AI safety research over a 4-month period, aligned with Anthropic’s priorities such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows will work on a self-directed project with mentorship from senior researchers, aiming to produce a public output like a research paper. The program offers a structured environment with access to compute funding, a shared workspace, and integration into the broader AI safety research community.

Anthropic United Kingdom

Developer Evangelist

This role involves driving developer adoption of Synthesia's AI video API by creating practical technical content, building sample applications, and engaging directly with developer communities. The Developer Evangelist will act as a bridge between external developers and internal product teams, producing tutorials, livestreams, and conference talks that demonstrate real-world integrations. They will also gather developer feedback to influence product direction and grow a self-sustaining developer ecosystem around the platform.

Synthesia Seattle, Washington, United States

Permanent

Research Scientist, Wayve Labs

This role involves advancing embodied AI for autonomous driving through research in world modeling, spatial intelligence, and scalable decision-making. You'll develop foundation models, reinforcement learning systems, and sim-to-real transfer techniques in a multidisciplinary environment. The work spans simulation, robotics, and real-world deployment, with a focus on long-horizon prediction and cross-embodiment learning.

Wayve London, United Kingdom

On-site Permanent