13 jobs
Flarebright Bicester £39,000 – £49,000 pa
Contributes across the full development lifecycle, from concept and algorithm design to system integration, testing and troubleshooting of safety-critical navigation and autonomy software in C++. Works with a multidisciplinary team on real-time embedded systems, hardware/software-in-the-loop testing and flight test activities, producing design documentation and test reports.
Autodiscovery Wantage
Lead the design and deployment of autonomous robotic systems, owning software architecture across perception, planning and control. Work spans prototyping, simulation and field testing, integrating with hardware teams while mentoring engineers and shaping technical roadmaps. Requires depth in C++, ROS2, SLAM and real-time systems.
Wayve London
Builds and leads the technical programme management function for Wayve's Data organisation, coaching a small TPM team while directly owning flagship programmes across data platforms, ingestion and standardisation pipelines, enrichment, curation, labelling and dataset quality. Partners with Data and Engineering leadership on planning, prioritisation and delivery, using KPIs and operational reviews to drive improvements in data quality, throughput and cost.
Wayve London
Lead large-scale training and post-training of Gaia, Wayve's world model that predicts future driving video frames and runs closed-loop with the driving stack. Own model architecture and training-strategy decisions, push autoregressive generation toward longer stable rollouts, and make the model deployment-ready. Work across Research, Applications, Core Simulation Engineering and Cloud/Infrastructure, mentoring and setting technical direction.
Marshall Harmony Dudley £45,000 – £55,000 pa
Take technical ownership of mechanical design for bespoke industrial machinery and turnkey systems, from concept and 3D CAD modelling through to build, testing and commissioning. Work hands-on across mechanical and electro-mechanical assemblies, component selection and manufacturing drawings, while improving design standards and processes. No direct reports initially, with close collaboration across projects, electrical, automation and manufacturing teams.
Meritus Stone
Lead the full engineering lifecycle of PLC, SCADA, HMI and OT systems for UK energy infrastructure projects, providing technical direction and assurance across Schneider, Siemens and Rockwell platforms. Coordinate multidisciplinary teams, run design and software reviews, and support FAT, SAT, commissioning and handover, while mentoring engineers and managing technical risks.
Synoptix Bristol £65,000 – £85,000 pa
Lead the technical vision and delivery of bespoke AI research programmes, spanning object detection, neural network resilience, AI assurance and synthetic data. Day-to-day work includes high-throughput vision systems on NVIDIA Jetson hardware, CUDA/TensorRT acceleration, multi-modal thermal and optical sensing, and real-time tracking, while guiding junior engineers and engaging senior stakeholders.
Wayve London
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.
Wayve London
Lead the technical direction for an offline 3D reconstruction system that turns raw vehicle sensor data into quality-assessed 3D ground-truth geometry and ego motion. The role spans SLAM, lidar point-cloud registration, state estimation and sensor fusion, with responsibility for architecture, roadmaps, prototypes and cross-functional alignment across perception, calibration and validation teams.
Wayve London
Lead a small team iterating on Wayve's end-to-end L2 driving model, balancing hands-on Python coding and experiments with directing priorities. You diagnose on-road issues, root-cause them, and drive fixes through data recipes, model architecture and evaluation, working across teams on model and vehicle interface problems.
Wayve London
Owns the autonomy performance measurement framework for a public-scale robotaxi deployment, defining metrics, dashboards and release gates for an end-to-end learned driving system with no existing playbook. Runs the performance improvement loop across model, robot software, backend and evaluation tooling, leading cross-functional execution without direct reporting authority while staying hands-on in Python, C++ and SQL.
Wayve London
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.
Wayve London
Lead a distributed team of seven engineers owning network and site infrastructure across offices, garages, labs and test facilities in six countries. The role combines people leadership with roughly 20% hands-on work, driving a multi-year network replacement, site builds, automation and security controls, plus on-call and regular international travel.
Wayve London
Lead the Applied Methods Data Science team, partnering with the Autonomy organisation to turn experimental and observational analysis of real and simulated driving into evaluations and insights. Set three-, six- and 12-month roadmaps, review technical proposals for statistical rigour, and grow the team through hiring, tooling and automation.
Wayve London
Lead a team of ML engineers and applied scientists building a production synthetic-data engine from generative world models like GAIA-3, covering rig and pose transfer, controllability and large-scale GPU inference. Own the loop from checkpoint and config through generation, evaluation and training, while driving inference optimisation, valid-generation yield and cross-team integration with driving-model and safety teams.
