Senior Machine Learning Engineer, AV Core

• Join Wayve’s Core Model Safety team within AV Core as a Senior Machine Learning Engineer, working hybrid from London. • Focus on collision avoidance, model understanding and robustness under failure for assisted and fully autonomous driving. • Lead large-scale data enrichment and curation initiatives using large-scale training and fleet data. • Develop workflows for mining hard and rare events and investigate how models perform in the real world. • Join a focused, high-impact senior team working with research, simulation, evaluation and applied engineering partners. • Help improve the efficiency and reliability of the machine learning operations stack.

• Bring hands-on experience with ML systems deployed in the real world. • Work proficiently in Python and PyTorch with strong software engineering practices. • Show experience building reliable ML training and evaluation systems. • Bring a strong track record in ML operations and infrastructure, including distributed computing and large-scale inference. • Lead a substantial technical area with senior-level ownership across research and engineering boundaries. • Communicate clearly in writing and in person to bring others along.

• Bring experience in autonomous vehicles or robotics, including deployment and closed-loop validation on physical systems. • Show experience mining, generating or evaluating rare events using simulation and real-world fleet data. • Set up cloud-based monitoring for large-scale operations, including dashboards, logging and real-time alerts. • Bring experience with transformer-based and multimodal architectures such as VLMs or VLAs. • Work proficiently with C++, CUDA, distributed training or performance optimisation for production ML systems.

• Lead large-scale data enrichment with Pre/Midtraining, reward modelling, self-supervised labelling and the Data Enrichment Platform. • Build workflows for large-scale enrichment, data curation and hard or rare event mining. • Design and train out-of-distribution detection mechanisms to enable robust driverless operation. • Investigate how models perform in the real world to support robustness and introspection. • Shape the boundaries and architecture across model engineering, infrastructure, compute and data teams. • Improve the overall efficiency of the machine learning and operations stack.

Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.

• Earn a salary benchmarked against the market every year. • Receive meaningful equity in Wayve’s long-term success. • Get relocation support and visa sponsorship where applicable. • Work hybrid with core hours and hands-on time in vehicle workshops and labs. • Use a learning and development budget for training and conferences. • Receive health and dental insurance, a pension and access to therapists. • Enjoy enhanced maternity and paternity leave, wellbeing partnerships and team socials.

Wayve is building an AI platform for autonomous driving, using an end-to-end approach where vehicles learn directly from real-world experience instead of hand-coded rules or pre-mapped environments. Its mapless, hardware-agnostic AI Driver integrates with global OEM partners and supports automation from L2+ through to L4. Founded in 2017 and headquartered in London, Wayve also has hubs in Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg.