Machine Learning Jobs in London

• London
• Hybrid · 1 day in office
• £225,000 – £255,000 pa
• Mid-level

Partner-facing role embedding with nonprofits, research institutes and academic medical centres to apply Claude to clinical development for rare and neglected diseases. You'll design and review trial protocols, build tools for drug repurposing from literature, omics and patient data, and create reusable infrastructure like MCP servers and benchmarks.

Claude · MCP

• London
• Hybrid
• £260,000 – £370,000 pa

Designs and runs machine learning experiments to understand and steer the behaviour of powerful AI systems, with a focus on risks from future ASL-3/ASL-4 models. Works collaboratively with Interpretability, Fine-Tuning and the Frontier Red Team on areas such as AI Control and alignment stress-testing, using Python throughout.

Kubernetes · Python · LLM

• London
• Hybrid
• Senior
• Permanent

Lead original technical research in AI safety, steering projects from initial question to high-impact publication. Work spans interpretability, steering vectors, goal drift, machine unlearning and uncertainty calibration for transformer LLMs and agentic systems, with outputs informing frontier labs and government institutes. Involves building reproducible research code and collaborating with red-teaming and evaluation teams.

PyTorch · Transformer · Metaview

• London
• Hybrid
• Lead · manages people
• Permanent

Sets technical direction for complex AI/ML projects, designing scalable production systems and shared deployment infrastructure with CI/CD pipelines. Leads multiple workstreams in high-risk national security contexts, defining testing and model versioning standards while coaching engineers and defending architectural decisions to senior stakeholders.

Kubernetes · TensorFlow · PyTorch +1

• London
• Remote
• Lead
• Permanent

Own the end-to-end architecture and technical roadmap for Remote Assistance, the real-time bridge between Wayve's AI Driver and human operators, spanning onboard vehicle integration, offboard services and operator HMI. Define the vehicle–operator contract, fallback/MRM behaviour and latency budgets, and drive cross-org execution across autonomy, safety, platform and product teams feeding into the L4 safety case.

HMI

• London
• Hybrid
• Senior
• Permanent

Set the technical strategy and roadmap for fault detection and fallback systems in an autonomous driving stack, designing and training detection mechanisms that enable safe driverless operation. Lead integration into the shared driving stack, working closely with machine learning, inference optimisation and software engineering partners, and mentor across teams. The role sits in a small, high-impact Core Model Safety team with access to large-scale training and fleet data.

• London
• Hybrid
• Senior · manages people
• Permanent

Lead end-to-end delivery of complex AI/ML engagements for enterprise customers, from strategic planning through pre-production deployment and optimisation. Architect solutions on AWS services with a focus on Generative AI using Amazon Bedrock and SageMaker, while mentoring junior consultants and supporting pre-sales scoping. Based in AWS offices in London, Manchester, Bristol or Cambridge when not at customer sites.

AWS · Amazon Bedrock · SageMaker

• London
• On-site
• Senior
• Permanent

Customer-facing technical role driving GenAI/ML adoption for large UKI enterprises, designing architectures, leading workshops and proof-of-concepts, and advising C-suite leaders. Requires hands-on ML experience with PyTorch, TensorFlow, Hugging Face and AWS services like Bedrock and SageMaker, plus thought leadership through blogs and events.

AWS · PyTorch · TensorFlow +7

• London
• Hybrid · 2 days in office
• £85,000 – £90,000 pa
• Senior

Builds and scales customer-facing data products on an Azure Databricks lakehouse, combining Spark pipelines, Unity Catalog governance and LLM features such as RAG, semantic search and recommendation engines. Acts as a bridge between product, commercial and engineering teams, mentoring juniors and shaping data monetisation strategy.

Azure Databricks · Azure · Unity Catalog +7

• London
• Remote
• £80,000 – £100,000 pa
• Mid-level

Builds and validates risk pricing models using statistical and machine learning techniques in Python, covering customer segmentation, conversion modelling and pricing analytics. Supports development of a proprietary pricing and rating platform, working closely with technical, commercial and underwriting stakeholders in a small team with senior exposure.

Python

• London
• Hybrid
• £75,000 – £95,000 pa
• Senior

Own and develop the MLOps infrastructure behind a growing AI platform, building orchestration pipelines with Dagster, Airflow or Prefect and deploying ML workloads on Kubernetes and cloud. You will implement CI/CD, observability and monitoring, manage infrastructure as code with Terraform or Bicep, and work closely with Data Scientists and ML Engineers to scale production ML, NLP and AI systems.

Dagster · Airflow · Prefect +3

• London
• £23,805 pa
• Entry level
• Contract

Develop a framework combining a differentiable reacting flow solver with a machine learning-based controller to anticipate and mitigate extreme events such as flashback and thermoacoustic instabilities in hydrogen and SAF combustion. The role sits within the European CONTEXT project at the intersection of scientific machine learning and fluid dynamics, using high-fidelity simulations and Imperial's HPC facilities.

HPC

• London
• Hybrid
• £60,000 – £85,000 pa

Builds next-generation AI products for knowledge discovery, intelligent search and scientific insight generation, working hands-on with LLMs, RAG, semantic search, NLP and embeddings. Also develops agentic AI workflows with LangGraph and LangChain, and takes models into production via MLOps, within a hybrid London team serving the life science industry.

LangGraph · LangChain

• London
• Senior
• Permanent

Design and implement generative models that learn intervention effects from single-cell perturbation and multiomic data, focusing on counterfactual prediction and experimental design. Work in interdisciplinary teams with experimental biologists to validate computational hypotheses and guide the highest-signal next experiments, using modern ML tooling and scalable infrastructure.

• London
• Remote
• Senior
• Permanent

Build and ship features for North, Cohere's secure AI workspace platform, developing autonomous agents that interact with sensitive enterprise data. Work spans Python and React full-stack code, with stringent deployment constraints that often require reinventing tooling rather than using popular libraries, plus collaboration with researchers to productionize frontier models.

Python · React