Machine Learning Jobs

• 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
• Lead · manages people
• Permanent

Builds and leads the technical programme management function for Wayve's AI Platform organisation, owning planning, prioritisation and execution across data and compute infrastructure, developer tooling, training technology and inference optimisation. Coaches a small TPM team, manages cross-team dependencies with ML, research, embedded and vendor partners, and drives measurable gains in developer velocity, compute efficiency and model performance.

Kubernetes · Ray · Flyte +6

• London
• Hybrid · 3 days in office
• Senior

Translate the company's security strategy into engineering reality, steering a multi-quarter InfoSec roadmap across Cloud Security, Platform IAM and Secure SDLC. Partner directly with engineering and ML teams to secure drug discovery pipelines and Agentic AI workflows, and build data-driven dashboards giving the CISO visibility into program health and risk reduction.

GCP · ISO 27001 · ISO 42001 +6

• London
• Hybrid
• £370,000 – £630,000 pa
• Mid-level

Builds and improves the RL training infrastructure researchers rely on, profiling, debugging and rearchitecting bottlenecks across the stack. Partners with researchers and adjacent engineering teams to ship tooling that speeds up training runs, owning reliability and performance end-to-end.

JAX · PyTorch

• London
• Hybrid · 1 day in office
• £325,000 – £390,000 pa
• Senior

Lead and scope multi-month infrastructure projects, making architectural decisions for large-scale distributed systems that train and serve AI models. Work spans Kubernetes clusters, data pipelines, databases, observability and developer tooling, partnering with research and product teams while owning reliability, scalability and security.

Kubernetes · AWS · GCP +6

• London
• Hybrid · 3 days in office
• Senior · manages people

Lead and contribute to core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry problems. Work spans post-training, reasoning, test-time scaling, tool-use, alignment, agents and reinforcement learning, with model training and inference engineering in JAX, PyTorch or TensorFlow. Depending on experience, you may also lead standalone projects, mentor ML researchers and shape the research roadmap.

JAX · PyTorch · TensorFlow +3

• London
• Hybrid
• Lead
• Permanent

Lead technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging AI research and production. You'll build scalable ML infrastructure, champion safety-first frameworks and capability evaluations, advise senior client leadership, and mentor engineering talent while partnering with Frontier Labs on multi-agent tooling and AI governance.

AWS · Azure · GCP +4

• London
• Hybrid
• Lead · manages people
• Permanent

Lead the scientific direction and architectural rigour of upstream AI safety and evaluation standards, partnering directly with Frontier Labs. Design novel experiment frameworks, mentor technical teams, and bridge deep research with client strategy across high-stakes engagements.

NumPy · Pandas · Inspect AI +1

• Oxford
• Hybrid
• Permanent

Hands-on field robotics role in the Launchpad team, operating, testing and debugging autonomous vehicle systems on real industrial sites. You build your own tooling (Python/Bash, C++, ROS, Linux) and trace faults across the hardware-software boundary, with extensive travel and secondments to the UAE.

ROS · Linux · Git +4

• London
• Hybrid · 2–3 days in office

Owns the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition tooling. Also operates the platform for training, evaluating and serving models, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes

• Cambridge
• Hybrid · 2–3 days in office

Own the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition. Operate the platform that trains, evaluates and serves models in production, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes

• London
• Hybrid
• Lead

Own the product strategy for the runtime that serves conversations in production, the inference layer hosting models, and the data platform feeding both. Set build-vs-buy and self-host-vs-managed direction, define evaluation frameworks for latency, throughput and cost, and partner directly with infrastructure engineering leadership on a roadmap with no customer-facing surface.

Raven

• United Kingdom
• Remote
• Permanent

Build the tools that make Studio a video editor people want to live in, including transitions, color grading and elements libraries on top of an in-house engine, plus presets that spare users from tweaking many controls. The role mixes greenfield features with polish on the existing editor, such as one-step keyboard shortcut rebinding for editors coming from Premiere Pro or Final Cut Pro. You write proposals, get fast feedback, and own features through launch, including the marketing moment.

Premiere Pro · Final Cut Pro

• London
• Hybrid
• Permanent

This role involves defining and delivering AI-powered product solutions that start with legal teams and scale across enterprise functions like compliance, procurement, and finance. The Product Manager will own the product roadmap, translate complex user needs into actionable specifications, and collaborate closely with AI engineers, designers, and domain experts. They will also lead stakeholder alignment, drive cross-functional execution, and ensure ethical, user-centric AI innovation across the platform.

• London
• Hybrid
• Permanent

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc.…