Machine Learning Jobs

• London
• Hybrid
• Senior
• Permanent

Lead large-scale data enrichment and curation for the Core Model Safety team, collaborating across pre/mid-training, reward modelling and self-supervised labelling. Build workflows for hard and rare event mining, design out-of-distribution detection for driverless operation, and improve ML operations efficiency across model engineering, infrastructure and compute.

PyTorch · CUDA · VLM +1

• London
• Hybrid
• Senior
• Permanent

Set the technical direction for a petabyte-scale object storage platform underpinning autonomous driving AI, leading a multi-quarter programme from architecture through adoption. Build production services and controllers in Python or Go with Kubernetes and Terraform, optimising read performance, caching and cost while partnering with ML, data, security and privacy teams.

Kubernetes · Terraform · Azure Blob +3

• London
• Hybrid
• £260,000 – £370,000 pa

Designs and runs machine learning experiments to understand and steer the behaviour of powerful AI systems, with a focus on risks from future ASL-3/ASL-4 models. Works collaboratively with Interpretability, Fine-Tuning and the Frontier Red Team on areas such as AI Control and alignment stress-testing, using Python throughout.

Kubernetes · Python · LLM

• London
• On-site
• Mid-level
• Permanent

Researcher role focused on derisking frontier AI models by developing novel safety mitigations, drawing on interpretability, control, and alignment techniques. You will build and refine evaluations of emerging risks, design red-teaming pipelines, and set research directions, collaborating closely with experts in misalignment, cybersecurity, and biology.

• London
• Hybrid
• Permanent

Builds and optimizes the compute platform behind frontier AI, spanning bare-metal automation, Kubernetes scheduling, high-performance networking, storage, and fleet health. Engineers move across software, hardware, and networking layers, profiling training workloads and improving NCCL, RDMA, and GPU efficiency. Hiring is general across Compute Infrastructure, with teams matched to candidate strengths.

Kubernetes · NCCL · RDMA +4

• United Kingdom
• Hybrid
• Mid-level

Own customer-facing LLM voice agents end to end: scope, design conversation and tools, build in Agent Studio and the ADK, integrate CRMs and telephony in Python, then launch and stay accountable for live performance. Debug real calls across ASR, model, prompt and integrations, run evals and A/B tests, and turn field solutions into reusable platform tools.

Agent Studio · ADK · Raven +3

• London
• On-site
• £90,000 – £120,000 pa
• Senior
• Permanent

Design and build full-stack AI-powered product features spanning front-end, back-end, AI and infrastructure, including LLM, computer vision and agent-based systems. You will create evaluation, testing, prompt engineering and fine-tuning frameworks, working across DevOps and MLOps with Product and Engineering teams on financial crime compliance tooling.

TypeScript · React · Node.js +1

• Oxford
• Hybrid · 2–3 days in office
• Permanent

Field-facing role delivering autonomous vehicle projects for industrial customers across ports, airports and yards, combining hands-on engineering at Culham with remote development and support. Involves workflow testing, stakeholder management and identifying process gaps, with domestic and international travel including the UAE.

Linux · Unix

• Cranfield
• £21,805 pa
• Entry level
• Contract

A PhD studentship researching AI-on-RAN, optimising distributed and mobile inference of large language models by adapting token, memory and bandwidth use in real time. The work sits across AI and telecoms, with training alongside other PhD students in the EPSRC Future Telecommunications Hubs network and exposure to defence, government and infrastructure stakeholders.

AI-on-RAN · 6G

• Oxford
• Hybrid
• £81,322 – £112,488 pa
• Lead · manages people
• Permanent

Dual role combining line management of a growing ML engineering team with hands-on technical delivery across multiple client engagements. You'll shape ML engineering practice, lead multidisciplinary teams, oversee solution design and quality assurance, and support pre-sales and use case discovery alongside commercial teams.

• Switzerland
• Remote
• Senior

Design, develop and optimise GPU/CPU-accelerated numerical libraries such as DALI and nvImageCodec, with heavy focus on performance tuning, benchmarking and CUDA-accelerated algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership to other library engineers.

CUDA · DALI · nvImageCodec +1

• Zürich, Switzerland
• Senior

Design, develop and optimise GPU/CPU-accelerated data processing libraries such as DALI and nvImageCodec, covering numerical methods, performance tuning and benchmarking across architectures. Works closely with leadership and external partners on technical roadmaps while providing technical leadership and guidance to other library engineers.

CUDA · DALI · nvImageCodec +1

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and LLM systems for national security and AI safety clients, including capability testing of frontier models. Act as a trusted technical advisor, define engineering standards for ML at scale, and mentor junior engineers while working with frontier labs on red teaming and evaluation.

TensorFlow · PyTorch · AWS +4

• London
• Hybrid
• Mid-level
• Permanent

Builds and deploys production-grade machine learning systems for national security and AI safety clients, including LLM applications, multi-agent tooling and evaluation of frontier models. Involves leading technical scoping and architecture decisions, defining deployment standards, and advising customers, working alongside engineers, data scientists and commercial leads.

AWS · Azure · GCP +5

• United Kingdom
• Entry level

Join the AI & Algorithms department to build intelligent systems, coding hands-on and training/testing models for client projects across robotics, radar, photonics and engineering biology. Work in mixed-discipline teams attending stand-ups and planning sessions, while contributing to internal R&D that turns state-of-the-art literature into market-leading solutions and client demonstrations.

LLM · VLM · VLA