Machine Learning Jobs

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Senior technical owner for a portfolio of education customers, acting as the "CTO of your book of business" from pre-sales discovery through deployment and adoption. Owns technical account plans across ChatGPT Edu, the OpenAI API and Codex, translating institutional priorities into architectures, adoption roadmaps and use-case portfolios.

ChatGPT Edu · OpenAI API · Codex

• London
• Hybrid · 3 days in office
• Permanent

Partner directly with engineering organizations to design, build, and deploy AI-powered software development workflows using Codex, working hands-on in Python to create prototypes, evaluation harnesses, integrations, and production accelerators. The role combines deep technical engineering with customer leadership, guiding teams from use-case selection through production rollout and scaled adoption while feeding deployment insights back to Product and Research.

Codex · OpenAI

• London
• Hybrid · 3 days in office
• Lead · manages people

Lead a team of biologists in the Exploratory Sciences group, owning in vitro pharmacology strategy for novel modalities such as TPD, molecular glues and peptides. Design screening cascades and quantitative assays, set ML-ready data standards, and champion LLM agentic workflows while managing CRO and academic studies.

SPR · GCI · nanoDSF +5

• London
• Hybrid · 3 days in office
• Senior · manages people

Lead and contribute to core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry problems. Work spans post-training, reasoning, test-time scaling, tool-use, alignment, agents and reinforcement learning, with model training and inference engineering in JAX, PyTorch or TensorFlow. Depending on experience, you may also lead standalone projects, mentor ML researchers and shape the research roadmap.

JAX · PyTorch · TensorFlow +3

• United Kingdom
• Remote
• Mid-level
• Permanent

Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams across Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.

dbt · Python · SQL +2

• London
• Remote
• Permanent

Embedded with strategic customers, you own end-to-end delivery of complex integrations, from technical architecture and product features to full-scale builds. The role pairs hands-on Python and API work with daily collaboration with customer engineers and executives, and involves regular travel for customer onsites.

ElevenLabs

• London
• Remote
• Entry level
• Temporary

Four-month full-time research fellowship focused on empirical AI safety and security projects, using open-source models and public APIs to produce public outputs such as paper submissions. Fellows receive direct mentorship from Anthropic researchers, access to shared workspaces in London or Berkeley, and work alongside the broader AI safety community.

PyTorch · TensorFlow

• London
• Remote
• Temporary

Four-month, full-time research fellowship working on empirical ML systems or reinforcement learning projects, using external infrastructure like open-source models and public APIs. Fellows receive direct mentorship from Anthropic researchers and aim to produce a public output such as a paper submission, with projects spanning accelerator backends, synthetic data pipelines, and RL environments.

Claude

• Singapore
• Hybrid
• Senior

Build physical foundation models for industrial engineering, scaling training across multi-GPU cloud compute and turning research prototypes into robust, optimised implementations. Work at the intersection of data science and software engineering, owning research work-streams and translating results into reusable libraries, tooling and products alongside scientists, customers and partners.

PyTorch · JAX · NumPy +7

• London
• Hybrid
• Senior
• Permanent

Post-train and scale GAIA-family large video diffusion world models to generate multimodal synthetic driving data, running generation pipelines across tens of thousands of segments and optimising GPU inference. Sits between ML research and engineering, landing synthetic data into the same training stack as real driving data and measuring its impact on driving-model performance.

GAIA · GPU · KV Cache

• London
• Hybrid
• £65,000 – £145,000 pa

Engineers at all levels build and scale the shared tooling and infrastructure behind the institute's AI safety research, from Inspect plugins and large-scale evaluation systems to model hosting and secure proxy infrastructure. Work spans open-source collaboration, supporting research teams with custom setups, and hardening infrastructure for frontier model evaluations.

Inspect

• London
• On-site
• £150,000 – £200,000 pa
• Mid-level
• Permanent

Develops and deploys robot manipulation policies using behaviour cloning and reinforcement learning, training and evaluating models on real humanoid hardware. Works within a specialist Manipulation team alongside simulation, teleoperation and controls engineers to improve sim-to-real transfer and robot performance.

PyTorch · JAX · OpenVLA +1

• London
• £60 ph
• Senior
• Contract

Develops and deploys computer vision models using CNNs, Vision Transformers and deep learning, translating research into production-ready software and scalable ML pipelines. Works with Python and PyTorch (TensorFlow advantageous) alongside engineers and researchers on AI for defence and high-performance applications, covering model evaluation, tuning, testing and CI/CD.

PyTorch · TensorFlow · Linux +1

• Edinburgh
• Permanent

Designs and implements machine learning models for recommendation systems used by job seekers and recruiters at global scale, with a focus on fairness and explainability. Works across the full software development lifecycle, from scoping and coding to A/B test analysis and deployment, alongside engineers, scientists and product managers. Also reviews scientific work and keeps current with the literature to develop novel approaches to hiring problems.

• London
• Mid-level
• Permanent

Applies causal inference, structural demand modelling and econometrics to measure how Prime Video investments and marketing initiatives drive engagement and business value. Works as an individual contributor across long-term research and tactical analytics, designing experiments and presenting findings to business leaders and the science community.