Robotics Jobs

• Luton
• On-site
• Mid-level · manages people
• Shift work

Lead a team of engineers, technicians and trainees at an automated Customer Fulfilment Centre, allocating daily workload, assessing capabilities and handling disciplinary matters. Requires hands-on mechanical and electrical engineering competence plus familiarity with automation hardware, MHE systems and computerised maintenance management. Work follows a 12-hour shift pattern across days, nights and weekends for a 24/7 operation.

Ocado Smart Platform · Computerised Maintenance Management Systems

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

Act as the principal point of contact for critical technical issues at Ocado's largest operational Customer Fulfilment Centre, maintaining and proactively improving machinery including conveyor networks, lifts and cranes. The role supports a 24/7 operation on 12-hour day, night and weekend shifts, working with robotics, AI and IoT-driven automation in a fast-paced FMCG environment.

Conveyor Networks · Lifts · Cranes

• London
• Hybrid
• Senior
• Permanent

Hands-on role optimising inference for edge accelerators and GPUs so large transformer models run efficiently on low-cost, low-power in-vehicle compute. You'll profile model graphs, compilers, runtimes and kernels, implement optimisations like fusion, scheduling and custom kernels, and build benchmarking and regression tests across NVIDIA Orin/Thor and Qualcomm targets, working closely with model, platform and deployment teams.

TensorRT · CUDA · Qualcomm QNN +7

• London
• Hybrid
• Senior
• Permanent

Builds and ships computer vision and 3D perception models for driver assistance, working across the full ML lifecycle from data generation to training, evaluation and iteration. The role spans latency-constrained on-car perception and large-scale offline work using lidar, maps and extra compute to power an auto-labelling data flywheel.

LiDAR

• London
• Hybrid
• Senior
• Permanent

Lead large-scale data enrichment and curation for the Core Model Safety team, mining hard and rare events and building workflows across pre/mid-training, reward modelling and self-supervised labelling. Design and train out-of-distribution detection mechanisms for robust driverless operation, working at the intersection of model engineering, infrastructure, compute and data.

PyTorch · CUDA

• London
• Hybrid
• Lead
• Permanent

A cross-functional individual contributor role shaping software architecture across onboard software, AI, simulation, training, inference and Robotaxi systems. The architect defines boundaries, interfaces and abstractions spanning AI, compute and vehicle platforms, leading large multi-team architectural changes and acting as a technical decision-maker on safety-critical systems.

• London
• Hybrid
• Senior
• Permanent

Builds and maintains core C++/Python components that interface self-driving models with vehicle and embedded systems, plus infrastructure to run and test autonomy capabilities. Owns reliability and performance of Linux-based systems and specialises in one domain such as localisation/mapping, filtering/diagnostics or control/inference, in a team scaling to 5-6 engineers.

Linux

• London
• Hybrid
• Mid-level
• Permanent

Own a substantial work package end-to-end, defining the problem, setting strategy and sequencing work to advance an end-to-end AI driving platform. Lead a cross-functional team of engineers, researchers and PMs without formal authority, translating R&D progress and customer needs into a clear product roadmap with tracked KPIs and milestones.

• London
• Hybrid
• Senior
• Permanent

Sets technical direction for petabyte-scale object storage powering autonomous driving AI, leading a multi-quarter programme from architecture to adoption. Builds production services and controllers in Python or Go with Kubernetes and Terraform, working with ML, data, security and privacy teams on retention, caching, replication and cost reduction.

Kubernetes · Terraform · Azure Blob Storage +4

• London
• Hybrid
• Lead
• Permanent

Lead the development, delivery and continuous improvement of training across Wayve's Fleet Operations teams, covering onboarding, technical, safety and compliance programmes. Build competency frameworks, learning paths and certification, run train-the-trainer initiatives and use performance data to iterate on content, working cross-functionally with Safety, Engineering and People.

Learning Management Systems · Advanced Driver-Assistance Systems

• London
• Hybrid
• Senior
• Permanent

Develops next-generation generative world models and planners such as GAIA, using diffusion, transformer and hybrid architectures to simulate complex driving environments for training, testing and deployment. The role spans ML research, multi-modal modelling and real-world deployment, with a focus on inference efficiency, closed-loop agent interaction and sim-to-real evaluation.

PyTorch · GAIA

• London
• Hybrid
• Senior
• Permanent

Owns validation strategy for ADAS and L2 autonomy functions, translating product, safety and regulatory requirements into test scenarios, metrics, coverage and acceptance criteria. Works hands-on with Python evaluation pipelines, simulation and SQL data analysis, and can be hired as a senior individual contributor or as a manager leading validation delivery.

Python · SQL

• 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 registration, temporal alignment and motion compensation using LiDAR odometry, nonlinear least-squares optimisation and factor graphs. A senior individual-contributor role combining algorithm development, evaluation methodology and productionisation, 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 AI automated driving system, building Item Definitions, running HARA/FMEA/FTA analyses, and shaping safety concepts and architectures across vehicle platforms and third-party systems. Define verification and validation, including vehicle-level testing, and construct structured safety cases with claims, arguments and evidence for certification.

ISO 26262 · SOTIF

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

Lead a newly dedicated Runtime Platform team building the application frameworks, middleware, IPC, performance and observability foundations that let Wayve's AI Driver run in real time onboard vehicles. The role is people-first, combining coaching, hiring and roadmap ownership with technical direction across latency, profiling, real-time scheduling and embedded Linux, partnering with vehicle software, hardware and OEM programme teams.

QNX · OpenTelemetry · Grafana +7