Machine Learning Jobs in London

• London
• Hybrid · 3 days in office
• Senior

Research Engineers build and optimise state-of-the-art AI models for drug design, working across the full ML lifecycle from experimentation and evaluation to production deployment. The role involves developing robust codebases, data pipelines and training infrastructure, with a focus on architectures such as Transformers, GNNs and diffusion models, in close collaboration with scientists and engineers.

JAX · PyTorch · XLA +6

• 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
• On-site
• £260,000 – £630,000 pa
• Mid-level

Own critical parts of a production pretraining pipeline, covering performance optimization, observability, reliability and hardware debugging across the full stack. The role splits roughly 50/50 between research and engineering, with on-call incident response during model launches and close collaboration with teams in SF and London.

JAX · TPU · PyTorch +3

• London
• Hybrid
• £375,000 – £640,000 pa

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute and task horizon grow, and builds benchmarks that make long-horizon progress measurable. Sits at the boundary between research and engineering, debugging failures that only appear at frontier scale and shipping validated findings into production training recipes alongside adjacent RL teams.

• London
• Hybrid
• Mid-level
• Permanent

Deliver bespoke, production-grade machine learning systems for government and national security clients, spanning the full ML lifecycle from scoping and architecture 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
• Mid-level
• Permanent

Builds and deploys production-grade machine learning systems for national security and AI safety clients, including LLM applications, multi-agent tooling and evaluation of frontier models. Involves leading technical scoping and architecture decisions, defining deployment standards, and advising customers, working alongside engineers, data scientists and commercial leads.

AWS · Azure · GCP +5

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a dedicated Runtime Platform team building the application frameworks, middleware, IPC, performance and observability foundations that support Wayve's onboard AI Driver. The role is people-first, combining coaching, hiring and roadmap ownership with technical direction across latency, profiling, real-time scheduling and embedded Linux, partnering with vehicle software, hardware and OEM programme teams.

QNX · OpenTelemetry · Grafana +7

• London
• Hybrid
• Senior · manages people
• Permanent

Own the technical vision and architecture for a petabyte-scale data enrichment platform that lets model engineers deploy, evaluate and improve ML models across large GPU fleets. Combine hands-on Python backend engineering with cross-team technical leadership, mentoring senior engineers and leading a small team of 2-3.

Flyte · Airflow · Dagster +6

• London
• Hybrid
• £600 – £650 pd
• Mid-level
• Contract

Design, build and deploy machine learning models into production, with a focus on recommendation systems covering ranking and search optimisation. Work alongside data scientists, engineers and product stakeholders, maintaining MLOps pipelines and ensuring scalability of ML systems on Azure. Six-month contract within a hybrid North London team.

Azure · TensorFlow · PyTorch

• London
• Hybrid
• Mid-level
• Permanent

Builds and operates the platform that deploys, configures and manages models across ChatGPT, spanning deployment orchestration, rollouts, capacity planning and operational automation. The role focuses on turning complex operational processes into reusable, scalable platform capabilities, working closely with research, infrastructure and product teams.

GPU · ChatGPT

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

Lead complex end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams, and feed field learnings back into product and model roadmaps. Hybrid London role with up to 50% travel.

LLMs · Generative Models

• 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
• Hybrid
• Senior
• Permanent

Own end-to-end technical program delivery for UK public sector and defence customers, from initial deployment through production scaling, acting as the bridge between frontier AI capabilities and government requirements. Navigate procurement, security authorisations, data sovereignty and compliance while coordinating Applied ML, Forward Deployed Engineering, Platform and Product teams. Work spans air-gapped, on-premises and highly regulated environments.

Azure · AWS GovCloud

• London
• £80,000 – £105,000 pa

Hands-on engineering role designing, building and supporting production-grade AI solutions in a professional services environment. You will work with stakeholders to identify use cases, develop AI applications and agents using Microsoft technologies such as Copilot Studio and Azure AI Foundry, and ensure solutions are secure, auditable and compliant with GDPR and the EU AI Act.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps

• London
• Remote
• £432 – £484 pd
• Senior
• Contract

Design and deploy production-grade Generative AI workflows and backend security guardrails for a global financial institution's AI Centre of Excellence. The role spans PII/MNPI sanitisation, prompt-injection defence, Python or Java GenAI and ML solutions, AWS/Azure data pipelines with Airflow, plus roughly 20-25% frontend and UI work for guardrail tooling, alongside production support and evaluation metrics.

AWS · Azure · Apache Airflow