Machine Learning Jobs

• 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

• United Kingdom
• On-site
• Mid-level
• Permanent

As a Design Assurance Engineer, you will contribute to the development of groundbreaking medical devices and systems, applying your expertise in standards and regulations to ensure compliance and quality. You will work on complex projects, lead risk management activities, and collaborate with multidisciplinary teams to deliver innovative solutions.

• London
• Hybrid
• Senior
• Permanent

Hands-on research and engineering role on the Agent Code team, developing code-generating LLMs and autonomous agent systems for enterprise use. Involves training code models, building agent frameworks for inference and sampling, creating SFT trajectories, working on RL algorithms, and designing benchmarks, in collaboration with the pretraining team on frontier compute infrastructure.

PyTorch · TensorFlow

• London
• Hybrid
• Senior
• Permanent

Drive safety research for agentic LLMs, focusing on data generation, post-training algorithms and evaluation methods so models that access external tools and act in the world remain fair, trustworthy and secure. Work with cross-functional ML, data annotation, product and policy teams on a small, autonomous team, requiring strong statistics, software engineering and Python/PyTorch skills.

PyTorch · TensorFlow · JAX

• 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
• 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

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns the data infrastructure behind frontier AI models, building large-scale pipelines for collecting, filtering and transforming training datasets. Also trains classifiers, quality filters and labeling models, and designs curation strategies like deduplication and quality scoring. Fully remote, with tooling work letting researchers explore and train on massive datasets.

Kubernetes

• United Kingdom
• Remote
• Permanent

Backend-leaning full-stack engineer joining a small team building Creative Agents that turn ideas into audio, image and video. You'll build production agents using prompts, tool use, orchestration and MCP integrations, design reliable async backend systems for long-running generation tasks, and develop shared evaluations and live quality monitoring. Ownership runs end to end, from prototyping to shipping and operating features in production.

MCP

• 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
• 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

• Erith
• On-site
• Mid-level
• Shift work

You'll be the principal point of contact for critical technical issues at Ocado's largest operational Customer Fulfilment Centre, keeping the 24/7 operation running through proactive improvement works and maintenance on conveyor networks, lifts and cranes. The role works a 12-hour shift pattern across days, nights and weekends, with a strong emphasis on health and safety and working at height.

Conveyor Networks · Lifts · Cranes

• London
• Remote
• £80,000 – £110,000 pa
• Lead

Owns and shapes a cloud data platform as an initial senior individual contributor, designing scalable AWS-based architectures, ETL/ELT pipelines and analytical datasets. Builds APIs and trusted data products for enterprise clients while supporting machine learning and AI initiatives, with governance, lineage and observability standards. Works with Product, Engineering and Data Science, with scope to build and lead a future data team.

AWS · Power BI · Tableau +2

• London
• On-site
• £85,000 pa
• Mid-level

Own product analytics for a suite of AI products, measuring retrieval quality, output correctness and user engagement, and building the dashboards the team works from. Also run the evaluation programme, curating golden datasets and analysing regressions with engineers. Based full-time in the London office alongside a technical engineering team.

RAG

• London
• Hybrid · 3 days in office
• £60,000 – £80,000 pa
• Senior

Independently validate and challenge credit risk, machine learning and decisioning models across the lending lifecycle, covering methodology, data quality, calibration, stability and monitoring frameworks. Work closely with Data Science, Risk and Analytics teams to define validation standards and controls, with exposure to automated underwriting and modern fintech credit risk practices.