
Senior Machine Learning Engineer, AV Core
About this role
This role suits senior professionals with hands-on ML deployment experience who want to shape foundational autonomous driving technology in London, United Kingdom. The position is a Senior Machine Learning Engineer, AV Core role at Wayve, focusing on collision avoidance, robustness, and core model safety.
Role Overview
The Senior Machine Learning Engineer, AV Core position is based in London, United Kingdom, operating on a hybrid model that blends office collaboration with remote flexibility. The AV Core organisation builds foundational capabilities for assisted and fully autonomous driving, with the Core Model Safety team concentrating on collision avoidance, model understanding, and failure robustness. This role involves working alongside partners in research, simulation, evaluation, and applied engineering using large-scale training and fleet data.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Wayve builds embodied intelligence to move real vehicles safely and creates a foundational AI platform for autonomous driving. The company uses an end-to-end AI approach that allows vehicles to learn directly from real-world experience rather than relying on hand-coded rules or pre-mapped environments. Wayve operates main hubs across London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg, employing a hybrid work environment.
How to Apply
Candidates should apply directly on the official Wayve careers page.
Skills and tech stack
Questions candidates ask
Where is this job located?
This position is based in London, United Kingdom, with a hybrid working model combining office collaboration and remote work.
What programming languages and frameworks are required?
Proficiency in Python and PyTorch is required, along with strong software engineering practices.
Is visa sponsorship available for this role?
Yes, relocation support and visa sponsorship are provided where applicable.
What team will I be joining?
You will join the Core Model Safety team within Wayve's AV Core organisation.
What is the interview process like?
The process includes an initial recruiter screen, 2 hours of competency interviews covering programming and system design, 2 hours of deep-dive domain ML technical interviews, and a final 1-hour mission and values alignment interview.