Machine Learning Jobs

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a London-based team building and operating large-scale multi-cloud, multi-region GPU compute and storage infrastructure for ML training and inference. The role is people-first: coaching engineers, hiring, and owning roadmap and delivery, while guiding Kubernetes scheduling, capacity planning and cost trade-offs across heterogeneous GPU fleets.

Kubernetes · Kueue · Nvidia Hopper +2

• London
• Hybrid
• Senior
• Permanent

Join a small, high-autonomy team building Wayve's Data Transfer Hub, mission-critical infrastructure moving petabytes of sensor data per day from global partners like Uber, Stellantis and Nissan. You'll design and operate large-scale pipelines in Python and Terraform, using Flyte, Kafka and Azure, with ownership of production systems and an out-of-hours on-call rotation.

Flyte · Kafka · Azure +4

• London
• Hybrid · 3 days in office
• Permanent

Partner directly with engineering organizations to design, build, and deploy AI-powered software development workflows using Codex, working hands-on in Python to create prototypes, evaluation harnesses, integrations, and production accelerators. The role combines deep technical engineering with customer leadership, guiding teams from use-case selection through production rollout and scaled adoption while feeding deployment insights back to Product and Research.

Codex · OpenAI

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

Hands-on engineering partner to international public-sector customers, delivering scoped GenAI and agentic use cases from mission need through architecture, evaluations, production and documented handoff. Works with government agencies, systems integrators and cloud providers on supported OpenAI APIs and Codex, with explicit data, inference and production-readiness boundaries.

OpenAI · Codex · Model APIs

• London
• Hybrid
• Permanent

Build and operate backend services, APIs and data-processing workflows for a platform that deploys, runs and evaluates ML models over petabytes of driving data and large GPU fleets. Work spans model-execution workflows, versioned outputs, annotation and dataset-catalogue features, plus reliability, performance and cost work across distributed, compute-intensive systems.

Flyte · Airflow · Dagster +7

• London
• Hybrid
• Senior
• Permanent

Develops next-generation generative world models and planners such as GAIA, simulating complex driving environments for faster training and scalable deployment. Works across diffusion, transformer and hybrid architectures, optimising inference latency and building interactive models for reinforcement learning and safety evaluation. Involves setting technical direction, mentoring researchers and publishing at top venues.

PyTorch · GAIA · Transformer +1

• London
• Hybrid
• Senior
• Permanent

Owns the technical architecture and roadmap for LiDAR and cross-sensor 3D sensing, leading development of target-based and targetless calibration, LiDAR-to-camera alignment, temporal synchronisation and motion compensation. A senior individual-contributor role combining algorithm development, evaluation and production deployment with technical leadership and mentorship across the 3D sensing stack.

GTSAM · Ceres Solver · g2o +1

• London
• Hybrid
• Senior
• Permanent

Lead functional safety activities for an end-to-end autonomous driving system, building Item Definitions, running HARA/FMEA/FTA analyses, and shaping safety concepts and architectures across vehicle platforms and third-party safety-critical systems. Define verification and validation, including vehicle-level testing, and construct structured safety cases with claims, arguments and evidence to support certification.

ISO 26262 · SOTIF

• London
• Hybrid
• Director
• Permanent

Owns the architecture, strategy and integrity of safety cases for robotaxi and OEM ADAS products, defining top-level claims, argumentation structures and evidence traceability. Sits independently from Engineering and Product, providing expert challenge and oversight across AI/ML, systems, validation and operational safety. Focuses on safety arguments for AI-enabled autonomous driving, including functional safety, SOTIF and post-deployment monitoring.

ISO 26262 · ISO 21448 · ISO/PAS 8800 +2

• London
• Hybrid
• Senior
• Permanent

Builds and maintains shared onboard runtime foundations for autonomous vehicles, including application frameworks, communication middleware, lifecycle management, health monitoring and observability. The role focuses on end-to-end latency and performance profiling across OS scheduling, memory hierarchy and compute platforms, with automated benchmarks and CI regression checks. Works closely with engineering teams and middleware suppliers to set shared APIs and architectural direction.

NVIDIA Nsight · Lumos · tegrastat +5

• 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

• 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 · 3 days in office
• Senior
• Permanent

Senior technical owner for a portfolio of education customers, acting as the "CTO of your book of business" from pre-sales discovery through deployment and adoption. Owns technical account plans across ChatGPT Edu, the OpenAI API and Codex, translating institutional priorities into architectures, adoption roadmaps and use-case portfolios.

ChatGPT Edu · OpenAI API · Codex

• London
• Mid-level
• Permanent

Backend engineering role focused on the systems that keep ChatGPT reliable at scale, spanning shared services, APIs, asynchronous processing and infrastructure migrations. Engineers write production code, own rollout and rollback, and improve monitoring and diagnostics, with on-call and incident response duties. Distinct for its close coupling of infrastructure work to a high-traffic consumer product.

ChatGPT · APIs · Cloud Infrastructure +2