Looking for senior ML performance engineer jobs in the UK with visa sponsorship? Wayve is hiring a Senior ML Performance Engineer, Inference Optimisation in London.

Photo: Waymo autonomous car in San Francisco via Wikimedia Commons, licensed CC BY-SA.
Senior ML Performance Engineer Jobs in the UK: Overview
| Job Title | Senior ML Performance Engineer, Inference Optimisation |
| Employer | Wayve |
| Location | London (Hybrid) |
| Salary | Not specified in the available job information |
| Job Type | Full-time, Hybrid |
| Experience | Senior |
| Visa Sponsorship | Relocation support and visa sponsorship where applicable (licensed sponsor) |
| Closing Date | Not specified in the available job information |
About the Employer
Wayve is building an end-to-end AI platform for autonomous driving. The company develops mapless, hardware-agnostic systems that learn from real-world experience and partners with global OEMs.
Job Responsibilities
- Profile inference performance across model graphs, compiler/runtime behaviour, kernel execution and memory movement
- Implement and validate optimisations in compilers, runtimes and kernels, including fusion, scheduling and quantisation-aware performance
- Build benchmarking and regression tests to track performance across models, devices and software releases
- Optimise for edge targets such as NVIDIA Orin/Thor and Qualcomm platforms
- Contribute to team tooling, documentation and technical discussions around ML performance
- Work with model developers on performance trade-offs so deployment-aware decisions are made early
Requirements
- Experience improving performance in production or production-adjacent systems with latency, memory, bandwidth, power, thermal or cost constraints
- Strong hands-on experience with at least one relevant stack such as TensorRT, CUDA, Qualcomm QNN, Triton or OpenCL
- Comfort working from high-level model behaviour down to kernel/runtime-level execution
- Strong software engineering fundamentals including debugging, profiling, testing and maintainable code
- Clear communication and ability to work across ML, systems and deployment teams
- Nice to have: experience deploying or benchmarking ML models on embedded or edge devices, familiarity with NVIDIA and/or Qualcomm SoCs, Python and C++ proficiency
Visa Sponsorship and International Applicants
Relocation support and visa sponsorship where applicable. Wayve is a licensed sponsor on the UK register for the Skilled Worker route. International applicants are considered. Sponsorship is not guaranteed for every candidate.
Salary and Benefits
- Hybrid working model
- Learning and development budgets
- Health insurance and dental
- Enhanced maternity and paternity leave
- Retirement or pension where applicable
- Access to therapists and wellbeing partnerships
- Meaningful equity
- Visa sponsorship available
- Hybrid role in London
- Edge ML inference focus
- Sponsorship not guaranteed for every candidate
- Salary not stated in posting
How to Apply
Apply directly via Ashby. A CV is required. Cover letter is optional.
Application Tips
- Highlight hands-on experience with TensorRT, CUDA or similar inference stacks
- Prepare examples of profiling and optimising latency-sensitive systems
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