Machine Learning Jobs

• 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
• Permanent

Builds agents that run real parts of the business, working in Marketing Engineering and forward-deployed to growth pods to find problems and own solutions end to end. Uses Python, SQL, LLM APIs and agent orchestration with frontier models, focusing on making agents reliable, measurable and safe enough for the business to depend on.

LLM APIs

• United Kingdom
• Remote
• Permanent

Backend-leaning full-stack engineer joining a small team building Creative Agents that turn ideas into audio, image and video. You'll build production agents using prompts, tool use, orchestration and MCP integrations, design reliable async backend systems for long-running generation tasks, and develop shared evaluations and live quality monitoring. Ownership runs end to end, from prototyping to shipping and operating features in production.

MCP

• Singapore
• Hybrid
• Lead

Join a new Singapore research team building physical foundation models for industrial engineering, translating physics and simulation challenges into mathematical formulations. You will develop deep learning and probabilistic models for physical systems, run large-scale experiments, and own research workstreams while publishing and presenting to customers and the community.

NumPy · SciPy · Pandas +4

• London
• Hybrid
• Mid-level
• Permanent

Design and build production systems that evaluate AI agent behaviour in real time, detecting risky actions and enabling safe recovery or escalation. Work spans architecture, implementation, evaluation and operations, partnering closely with alignment researchers to turn prototypes into scalable safety capabilities across OpenAI products.

OpenAI

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

Senior technical owner for a portfolio of public sector customers, shaping AI strategy from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures covering models, data, integration, security and governance while coordinating specialists across deployment, product and partners.

ChatGPT Enterprise · OpenAI API · Codex +1

• 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
• Mid-level
• Permanent

Develops and optimizes LLM/SLM-powered conversational shopping experiences, including agentic architectures, evaluation pipelines, and post-training of small language models. Works with retrieval augmentation, context engineering, and multimodal data at Amazon scale alongside product and engineering teams.

MCP · Alexa

• 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
• Remote
• Senior · manages people

Leads and scales the UK Forward Deployed AI Engineering team, delivering professional services engagements that help EMEA customers productionise GenAI and ML applications. Combines people leadership and hiring with executive customer advisory work, owning OKRs for revenue, utilisation and references while feeding voice-of-customer insight back into Product, R&D and GTM strategy.

Databricks · AWS · Azure +7

• London
• Hybrid
• Senior
• Permanent

Hands-on optimisation of large transformer model inference for edge accelerators and GPUs, profiling model graphs, compiler/runtime behaviour, kernel execution and memory movement. You'll implement fusions, scheduling, quantisation-aware performance and custom kernels, and build benchmarking and regression tests for targets like NVIDIA Orin/Thor and Qualcomm platforms, working closely with model, platform and deployment teams.

TensorRT · CUDA · Qualcomm QNN +6