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Senior ML Performance Engineer, Inference Optimisation at Wayve, London

cma9ja3 min read50

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.

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Senior ML performance engineer jobs in the UK - autonomous vehicle on the road

Photo: Waymo autonomous car in San Francisco via Wikimedia Commons, licensed CC BY-SA.

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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
What you need to Know
Pros
  • Visa sponsorship available
  • Hybrid role in London
  • Edge ML inference focus
Cons
  • 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.

Apply to this Job

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Application Tips

  • Highlight hands-on experience with TensorRT, CUDA or similar inference stacks
  • Prepare examples of profiling and optimising latency-sensitive systems

Browse more Technology Jobs and Visa Sponsorship Jobs on CMAJobs.

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