Machine Learning Jobs

Wayve · London

Own a substantial work package end-to-end, defining the problem, setting strategy and sequencing work to ship outcomes for 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 product roadmap with clear KPIs and milestones.

Cambridge Consultants · United Kingdom

Lead signal processing design and integration project teams, architecting software for high-performance hardware and contributing to multi-domain system design. Work across wireless, telecoms, audio and semiconductor clients, acting as design authority and providing technical leadership while supporting sales campaigns and proposals.

NVIDIA · Zürich, Switzerland

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts from industry and academia to analyse and optimise complex AI and HPC algorithms on CPU and GPU architectures. The intern also publishes optimisation techniques via developer blogs or conferences and helps influence next-generation hardware, software and programming models.

NVIDIA · United Kingdom

Serves as the primary technical contact for academic and research partners, driving adoption of NVIDIA's accelerated computing and AI stack. Works hands-on with researchers on large language model training, fine-tuning, inference and agentic workflows at supercomputing scale, delivering workshops and mentoring power users. Involves around 30% travel and close collaboration with research labs and university faculty.

Wayve · London

Owns Wayve's end-to-end data strategy across the AI learning cycle, from foundation model training to production programmes, deciding what data matters and how it drives model performance. Leads a multidisciplinary Data organisation building the data flywheel: discovery, curation and enrichment of rare, safety-critical scenarios from very large real-world driving datasets. Works closely with Engineering, AI, Science, Validation, Product, Compute and Commercial leaders.

Cambridge Consultants · United Kingdom

Lead the specification and design of end-to-end wireless communications systems, from initial client discussions through product specification and delivery. Combine techno-commercial leadership with business development, working across satellite, cellular and PAN technologies such as 3GPP, Bluetooth and Wi-Fi, while mentoring future technology leaders.

Wayve · London

Owns reliability of large-scale GPU, Kubernetes and distributed AI training infrastructure, turning recurring operational problems into durable engineering solutions. Improves observability, automation, deployment safety, capacity planning and incident learning, and builds GitOps delivery with Argo CD or Flux. Works across AI Platform, Compute & Data Platform and Cloud Infrastructure teams.

Wayve · London

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.

Wayve · London

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.