Senior ML Engineer - Autonomous Driving Data & Safety

Wayve; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Equity

Hybrid working

Relocation support

L&D budget

Health insurance

Job summary

Wayve's AV Core Engineering team seeks a senior data engineer to lead large-scale data enrichment and curation within the Core Model Safety group. You will collaborate across training stages, reward modelling, and self-supervised labelling, building scalable workflows to improve model robustness and introspection in real-world driving systems.

You should have hands-on Python and PyTorch experience, a track record in ML infrastructure and distributed computing, and the ability to lead technical

Qualifications

• Hands-on experience with ML systems deployed in real world settings.
• Strong software engineering practices and hands-on experience building ML training and evaluation systems.
• Experience with ML operations and infrastructure, including distributed computing and large-scale inference.

Responsibilities

• Lead large-scale data enrichment within the Core Model Safety team.
• Develop workflows for data curation and rare event mining in support of robust model performance.
• Design and train out-of-distribution detection mechanisms for robust driverless operation.
• Collaborate across research, simulation, and applied engineering to shape ML infrastructure.

Skills

Python

PyTorch

ML systems

Distributed computing

MLOps

System design

Job description

Wayve's AV Core Engineering team seeks a senior data engineer to lead large-scale data enrichment and curation within the Core Model Safety group. You will collaborate across training stages, reward modelling, and self-supervised labelling, building scalable workflows to improve model robustness and introspection in real-world driving systems.

You should have hands-on Python and PyTorch experience, a track record in ML infrastructure and distributed computing, and the ability to lead technical