Machine Learning Jobs in London

• London
• Hybrid · 3 days in office
• Senior

Join a newly formed LLM Engineering team to architect, implement and own systems bringing large language models into scientific and business processes. Work spans LLM serving stacks, agentic infrastructure, RAG, evaluation frameworks and fine-tuning, partnering with researchers to translate scientific needs into technical AI specifications.

vLLM · GCP · MCP

• London
• Hybrid · 3 days in office
• Mid-level

Join a newly formed Scheduling team to own and extend systems that orchestrate compute allocation for complex ML workloads on Kubernetes. You'll design scheduling policies like gang scheduling and topology-aware placement, build custom Kubernetes controllers and CRDs, and partner with ML researchers to optimize GPU and TPU utilization.

Kubernetes · Kueue · Volcano +5

• London
• Hybrid · 3 days in office
• Senior

Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimisation) into customer production environments, using Python, PyTorch, Pandas, fastAPI, Scipy and Kubeflow across cloud and on-prem. Leads scoping and architecture for data/ML systems, mentors engineers and data scientists, and travels to customer sites roughly 3-4 weeks per quarter.

Python · PyTorch · Pandas +3

• London
• Hybrid
• £165,000 – £190,000 pa
• Senior

Partner with founders and startup engineers as a technical advisor, guiding them from evaluation through deployment of LLM applications on the Claude Developer Platform. You'll run technical evaluations, design architectures, develop evaluation frameworks, and feed emerging use cases back to Product and Engineering, with travel to customer sites and events.

Claude · Claude Developer Platform

• London
• Hybrid · 1 day in office
• £325,000 – £485,000 pa
• Lead

Sets technical direction for agent-driven compute cluster lifecycle management, covering provisioning, updates and decommissioning across major clouds and own datacenters. Partners with security, research and cloud providers on secure-by-default, high-bandwidth, fault-tolerant clusters, and mentors engineers while owning multi-quarter strategy.

Kubernetes · Terraform · AWS +7

• London
• Senior

Serve as the trusted technical ML and AI expert for enterprise customers, architecting production-grade ML and AI workloads on the Databricks Data Intelligence Platform. Specialise in GenAI solutions such as RAG architectures, agentic systems and AI observability, while mentoring colleagues and influencing the platform's AI roadmap.

Databricks · AWS · Azure +7

• London
• Hybrid
• Lead
• Permanent

Lead the technical architecture for integrating an autonomous driving AI platform with automotive OEM and Tier 1 vehicle systems, spanning sensors, middleware, ECU constraints, timing, diagnostics and safety. Own interface contracts, requirements processes and architecture decisions across customer programs, and represent the company in partner technical discussions.

CAN · FlexRay · Automotive Ethernet +2

• 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
• Hybrid
• Senior
• Permanent

Builds data-intensive, AI-powered applications and infrastructure that help operators and investigators detect, triage and review high-severity harm, working across UIs, services and pipelines. Partners closely with the Child Safety team and cross-functional groups, owning systems end-to-end in an ambiguous, fast-moving environment.

Spark · Kafka · Flink +3

• London
• Lead
• Permanent

Owns delivery of priority AI initiatives for OpenAI's largest customers, leading complex deployments from scoping and planning through launch and adoption. Builds integrated delivery plans, resolves blockers, drives launch readiness and tracks adoption and consumption against agreed outcomes, working closely with account teams, FDEs and partners.

• 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

• London
• Remote
• £200,000 – £300,000 pa
• Lead

Own machine learning projects end to end, from experimentation through to production, building reliable, scalable systems with Python and large language models. Provide technical leadership to ML engineers, set engineering standards, lead code reviews and make architecture decisions, working closely with research and application engineering teams to improve model performance in production.

LLMs

• 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.

• London

Customer-facing, billable engineering role embedding with clients to design, build and productionize end-to-end data and AI systems on the Databricks platform. You own architecture and design decisions across data engineering, ML/AI model integration and application development, working alongside project managers, architects and customer teams, with around 20% travel.

Databricks · AWS · Azure +5