Machine Learning Jobs in London

• London
• Hybrid · 3 days in office
• Senior

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Set strategy and roadmaps, architect next-generation services, and solve core scaling limits for high-throughput performance, partnering with research, product and operations teams.

Kubernetes · Google Cloud Platform · NVIDIA GPU +1

• London
• Hybrid
• £255,000 – £325,000 pa
• Director · manages people

Founding leader for Anthropic's Forward Deployed Engineering practice, hiring and developing engineers who embed with strategic enterprise customers to ship production AI applications. Player-coach role setting technical and operational standards, building repeatable playbooks, and partnering with Sales, Product and Engineering. Requires travel to customer sites 25-50%.

Claude

• London
• Hybrid
• £225,000 – £255,000 pa
• Senior

Embed directly with strategic enterprise customers to build production applications on Claude models, delivering artifacts like MCP servers, sub-agents and agent skills. Combines hands-on Python engineering with customer-facing discovery, codifying repeatable deployment patterns and feeding insights back to Product and Engineering. Founding FDE role with frequent travel (25-50%) to customer sites.

Claude · MCP

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML systems for national security and AI safety clients, including capability testing of frontier models. Act as a technical advisor to customers, define deployment standards, and mentor junior engineers while working with frameworks like TensorFlow or PyTorch on cloud and Kubernetes infrastructure.

TensorFlow · PyTorch · AWS +5

• London
• Hybrid
• Lead · manages people
• Permanent

Sets technical direction for complex ML and software projects, architecting scalable systems and overseeing delivery across multiple workstreams in high-risk life sciences environments. Also drives shared libraries, leads hiring and mentoring, and acts as a technical coach to pharma and MedTech clients.

Azure · GCP · AWS +2

• London
• Hybrid
• Permanent

Builds Python services and microservices that orchestrate the end-to-end model-release workflow, integrating feature candidates into release branches and automating readiness checks before training. Connects training platforms, simulation and on-road testing, surfacing quality gates and approvals, and productionises services on Azure and Kubernetes with strong observability. Works across Model Engineering, MLOps, Measurement, Evaluation, Simulation and Release Management.

Azure · Kubernetes · React +1

• London
• Hybrid
• Permanent

Design, build and operate shared infrastructure for language model access, agent runtimes and observability, taking projects from problem definition through technical design, deployment and ongoing operation. Partner with security, IT and engineering teams, and support adoption through troubleshooting, documentation and reusable patterns.

Kubernetes · MCP · RAG

• London
• Remote
• Senior
• Permanent

Founding Solutions Architect for the Nordics, owning the technical relationship with enterprise and government customers. Leads design and deployment of pilots, maps customer problems to AI solutions, and works with account executives, partners and product teams to drive adoption of LLM technology.

Cohere · Python

• London
• Mid-level
• Permanent

Develops and maintains LLM instruction iterations and evaluation frameworks, including automated eval pipelines, LLM-as-a-judge methodologies, rubric design and dataset curation. Partners with applied scientists and engineers on retrieval augmentation, context enrichment and fine-tuning, analysing large-scale multimodal interaction data and running A/B tests to improve conversational shopping quality.

MCP · ETL

• London
• On-site
• Senior
• Permanent

Builds and scales generative and predictive models of cellular behaviour, acting as the bridge between ML theory and implementation. Day to day involves optimising large neural networks, distributed multi-GPU/multi-node training, profiling GPU workloads, and productionising research code for multi-modal biological data.

PyTorch · CUDA · Triton +1

• London
• Director · manages people
• Permanent

Lead the platform engineering team owning hybrid on-prem and cloud compute, Kubernetes clusters, and MLOps infrastructure such as Kubeflow notebooks, GPU training and model serving. Set architectural direction, mature CI/CD, observability and security controls, and ensure scientific compute meets the needs of ML and data science teams. Reports to the VP of Engineering in a matrixed TechBio environment.

Kubernetes · Kubeflow · ISO 27001 +2

• London
• Hybrid · 3 days in office
• Director · manages people
• Permanent

Lead a team of senior Applied AI Architects acting as technical CTOs for OpenAI's largest North EMEA customers, owning technical account plans across ChatGPT Enterprise, the API, Codex and agentic solutions. Sets the regional operating model with Sales, allocating technical resources and guiding customers from pre-sales discovery through production adoption.

ChatGPT Enterprise · OpenAI API · Codex

• London
• On-site
• Entry level
• Permanent

PhD students join an Amazon Science team to own an end-to-end research project, from scoping with a mentor to deploying algorithms, models or systems into production. Projects span computer vision for Prime Video quality, multimodal AI for Rufus, automated reasoning and formal verification, observability for distributed systems, and recommendation models. Interns may publish at top-tier conferences or see their work ship before the internship ends.

Rufus

• London
• £80,000 – £110,000 pa

Hands-on data science role building a dedicated Claims Analytics capability for an international insurer. You will develop statistical and machine learning models for claims forecasting, triage, severity, recoveries and resource planning, working with structured and unstructured claims data alongside Claims, Underwriting, Actuarial and Technology teams.

• London
• Hybrid · 2 days in office
• £55,000 – £65,000 pa

Develops predictive models focused on propensity modelling, customer segmentation and behavioural analytics for a range of client challenges. Works across the full project lifecycle, from data discovery and model training to presenting findings to clients, alongside analysts, project managers and subject matter experts. Combines hands-on Python and SQL work with direct client interaction.

Databricks · Azure