
Senior ML Performance Engineer, Inference Optimisation
Wayve · London, United Kingdom · Remote possible
Evidence
The posting says Wayve sponsors visas, and Wayve is on the UK Home Office register.
Sponsor register
UK Home Office Register of Licensed Sponsors
Listed as Wayve Technologies Ltd. London · Skilled Worker route · A rating. Snapshot 26 Oct 2026.
Job posting
Relocation support and visa sponsorship where applicable
On jobs.ashbyhq.com/wayve, read 26 Oct 2026.
Still open
Seen on the job board
First seen 24 Oct 2026. We check every day and remove closed roles.
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jobs.ashbyhq.com/wayve
Wayve’s job board, hosted by Ashby.
Being on the register means Wayve can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.
About the role
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers.
Our ML performance team optimises inference for edge accelerators and GPUs, so large transformer-based models run efficiently on low-cost, low-power in-vehicle compute. We work closely with model, platform and deployment teams to turn research models into reliable production systems for Wayve's driving product.
Your day-to-day This is a hands-on role across ML systems, compilers, runtimes, kernels and embedded deployment. You'll find bottlenecks, implement performance improvements, and work with model developers on performance trade-offs so deployment-aware decisions are made early.
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