Top Tech Jobs & Startup Jobs in London

The ML Compression Engineer will optimize driving models for efficient performance on low-cost edge devices using techniques like distillation and quantisation.

The Staff ML Compression Engineer focuses on optimizing the Driving Model for efficiency in consumer-grade GPUs and low-power devices by implementing advanced ML compression methods. Responsibilities include developing techniques like distillation and quantization, understanding their impact on driving behavior, and collaborating with model developers.

Manage technical program coordination between R&D, product development, and field testing for autonomous vehicle operations, ensuring effective testing and feedback integration.

As a Tech Lead, you will design and implement learning algorithms for AI decision-making, guiding experimentation and architectural decisions, while contributing hands-on to key components.

Lead initiatives in model-based autonomous driving as a Staff Machine Learning Engineer, focusing on model architecture and real-world deployment. Collaborate with cross-functional teams and mentor senior engineers in developing driving systems.

As Legal Counsel at Wayve, you will advise on corporate governance, M&A, employment matters, and commercial contracts, gaining exposure across various legal areas.

Lead the GPU Kernel team, responsible for writing efficient ML kernels for autonomous vehicles, collaborating with engineers to deploy AI products.

The Senior Machine Learning Engineer will design and optimize data pipelines for autonomous driving research, ensuring high-quality datasets are used for model training and evaluation.

The role involves optimizing ML inference for edge accelerators and GPUs, leading projects, collaborating with teams, and improving ML compilers and kernels.

Lead an engineering team delivering a stable software stack for autonomous driving, focusing on Linux distribution maintenance and kernel development.