Machine Learning Jobs

• 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 while working alongside engineers, data scientists and commercial leads.

AWS · Azure · GCP +5

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and LLM systems for national security and AI safety clients, including capability testing of frontier models. Act as a trusted technical advisor, define engineering standards for ML at scale, and mentor junior engineers while working with frontier labs on red teaming and evaluation.

TensorFlow · PyTorch · AWS +4

• 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
• Mid-level

Join the Compute Infrastructure team to keep a planet-scale GPU accelerator fleet healthy and efficient. You'll build observability and telemetry pipelines, automate recovery, hunt compute waste, and optimise accelerator utilisation for large-scale training and inference, working closely with ML infrastructure and research teams.

GCP · Kubernetes · Nvidia GPU +1

• London
• Hybrid · 1 day in office
• £165,000 – £190,000 pa
• Senior

Pre-sales architect acting as a trusted technical advisor to large enterprises, helping them integrate and deploy Claude across their technology stacks. The role spans technical discovery, evaluation frameworks, and scalable architecture design, working closely with Sales, Product, and Engineering teams and occasionally travelling to customer sites.

Claude · Claude API · Claude for Work

• 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 · 3 days in office
• Senior
• Permanent

Senior technical owner for a portfolio of public sector customers, shaping AI strategy from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures covering models, data, integration, security and governance while coordinating specialists across deployment, product and partners.

ChatGPT Enterprise · OpenAI API · Codex +1

• London
• Hybrid
• Lead · manages people
• Permanent

Lead and grow a London-based engineering team building real-time safety and oversight systems for AI agents, including the Auto-review platform that evaluates agent actions at permission boundaries. The role is a hands-on builder-manager position, setting technical direction while shaping architecture, reviewing designs, debugging, and writing code, working closely with alignment researchers and product teams.

OpenAI

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead a London-based team building the on-vehicle experiment platform that lets researchers deploy driving models to vehicles, run experiments and collect training data. You own people, roadmap and OEM partner relationships while staying hands-on with embedded Linux, C++/Python and over-the-air deployment across vehicle fleets.

NVIDIA Jetson · NVIDIA DRIVE · QNX +4

• London
• Hybrid
• Senior
• Permanent

Owns the end-to-end release cycle for AI driving models, coordinating ML engineering, evaluation, data science, platform, testing and product teams. Defines release gates and promotion criteria from training through validation to fleet deployment, drives regression investigations and rollback decisions, and builds tooling and KPIs to remove bottlenecks in a non-deterministic ML environment.

GitHub · Buildkite · CLI

• London
• Hybrid
• Permanent

Design, build and operate shared infrastructure for language model access, agent runtimes and observability, taking projects from problem definition through technical design, deployment and ongoing operation. Partner with security, IT and engineering teams, and support adoption through troubleshooting, documentation and reusable patterns.

Kubernetes · MCP · RAG

• 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

Lead a team of ML engineers and applied scientists building synthetic data from generative world models like GAIA-3, turning them into a production engine for training-grade driving data. Own the pipeline end to end, from checkpoint and large-scale GPU inference to artefacts landing in driving-model training, while setting technical direction on rig transfer, pose transfer and controllability.

Python · PyTorch · GPU +1

• 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