Senior Machine Learning Engineer - AV Core

In order to set you up for success as a Senior Machine Learning Engineer at Wayve, we're looking for the following skills and experience.

Hands-on experience with ML systems deployed in the real world.

Proficiency in Python and PyTorch, with strong software engineering practices and hands-on experience building reliable machine learning training and evaluation systems.

A strong track record with ML operations and infrastructure, including experience with distributed computing environments and large-scale inference.

Senior-level ownership and collaboration: able to lead a substantial technical area, work across research and engineering boundaries, and bring others along through clear written and verbal communication.

Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.

Experience mining, generating, or evaluating rare events using simulation and fleet or heterogeneous real-world data.

Experience setting up cloud-based monitoring solutions for large-scale operations, including dashboards, logging, and real-time alerts.

Experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent.

Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems.

This is a full-time role based in our office in London. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.