Machine Learning Jobs in London

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

Lead computational chemistry strategy across drug discovery programs, applying AI-first approaches to hit finding, molecular design and lead optimisation. Work with ML scientists to embed generative models into cheminformatics workflows, with some roles managing 2-3 computational chemists.

REINVENT · AlphaFold · Large Language Models

• London
• Hybrid · 3 days in office
• Senior

Lead translational pharmacology for an AI-first drug discovery team, shaping neurodegeneration strategy and target validation. Design screening cascades, profile AI-designed molecules, and manage CRO studies while bridging computational and experimental biology.

SPR · TR-FRET · Mass Spectrometry

• London
• Hybrid
• £370,000 – £630,000 pa
• Mid-level

Builds and improves the RL training infrastructure researchers rely on, profiling, debugging and rearchitecting bottlenecks across the stack. Partners with researchers and adjacent engineering teams to ship tooling that speeds up training runs, owning reliability and performance end-to-end.

JAX · PyTorch

• London
• Hybrid · 1 day in office
• £260,000 – £630,000 pa
• Mid-level

Join the Pretraining team to develop next-generation large language models, working across model architecture, algorithms, data processing and optimizer development. You'll lead small research projects, design and analyse experiments, and scale distributed training infrastructure to thousands of GPUs, blending research and engineering in a highly collaborative environment.

PyTorch · Kubernetes · GPUs +1

• London
• Mid-level
• Permanent

Builds and extends a data and ML platform that lets economists run analyses independently, automating pipelines and tooling with DBT, Python, Airflow, Spark, Iceberg and AWS services like Lambda, Bedrock and SageMaker. Works in a lean, no-on-call team without stand-ups or sprints, shaping technical direction for pricing, selection and delivery-speed projects.

DBT · Apache Airflow · Spark +6

• 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
• Remote
• Permanent

Owns the internal developer platform used by AI researchers to write, build, and debug training code, covering dev environments, container images, CI/CD, and training instrumentation. Works closely with researchers and ML engineers on stability, scalability, and observability, with a compensated 24x7 on-call rotation for production troubleshooting.

Kubernetes · Python · Go +2

• London
• Hybrid
• Senior

Builds AI-powered planning systems for global warehouses and last-mile operations, developing machine learning models, optimisation algorithms and operational simulations. Takes high-impact models from prototype to monitored production, sets technical direction and mentors data scientists while working with engineers, product managers and external retail partners.

BigQuery · OR-Tools · SimPy

• London
• Hybrid
• Senior · manages people
• Permanent

Lead high-impact AI projects for public sector clients, defining data science approaches and designing robust software architectures. Mentor junior data scientists, partner with commercial teams on client relationships, and ensure delivery rigour. Hands-on Python, NumPy, Pandas and deep-learning work, with possible UK Security Clearance and occasional on-site client work.

Python · NumPy · Pandas +2

• London
• Hybrid
• £80,000 – £110,000 pa
• Senior

Design, build and deploy production-grade machine learning and generative AI solutions across the full ML lifecycle, from experimentation to deployment, monitoring and optimisation. Establish robust MLOps practices, build APIs and improve Python workload and infrastructure performance, working closely with engineering and AI teams in a hybrid London setup.

• London
• Hybrid
• Permanent

Deliver bespoke, production-grade machine learning systems for government and national security clients, spanning the full ML lifecycle from scoping to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, while advising stakeholders and setting standards for deploying ML at scale.

Scikit-learn · TensorFlow · PyTorch +5

• London
• Hybrid
• Senior
• Permanent

Builds modular Python libraries for multimodal data loading, distributed training and inference, checkpointing and observability, supporting thousands of GPUs. Partners with ML teams to turn complex requirements into stable, reusable APIs, leading projects from discovery to adoption while raising engineering standards.

PyTorch · TensorFlow · Azure +1

• 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

• London
• Hybrid
• Senior
• Permanent

Owns the engineering release process for autonomous driving models, defining branching strategies, release cadence, configuration management and quality gates. Reviews model, architecture and code changes against intended outcomes, assesses evaluation results for safety and performance, and builds CI/CD tooling with PyTorch, TensorRT and GitHub Actions. Works across ML engineering, AI Platform, evaluation and product to unblock delivery bottlenecks.

PyTorch · TensorRT · GitHub Actions +1

• London
• Hybrid
• Senior

Owns the software engineering that brings data science and machine learning products into live production for the Autoplanner team, building AI-powered planning systems across global warehouses and last-mile assets. Writes typed, well-tested Python (with some Java for OSP integration), builds APIs and data contracts, manages AWS deployments and CI/CD, and packages, serves and monitors ML models. Acts as engineering partner to data scientists and shares on-call support.

AWS · GCP · Ocado Smart Platform