Senior ML Engineer - Autonomous Driving Data & Safety

OpenDigital Limited; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Wayve in London is seeking a Senior Machine Learning Engineer for the AV Core organisation to lead large-scale data curation and rare-event mining for robust driverless operation. You will analyze performance in the real world, identify failure modes, and drive improvements across data, models, and infrastructure.

You will join a focused, high-impact team with ownership over core capabilities, access to vast fleet data, and close partnerships across research, simulation, evaluation and applied

Qualifications

• Hands-on experience with ML systems deployed in the real world.
• Proficiency in Python and PyTorch with strong software engineering practices.
• Experience with distributed computing environments and large-scale inference.
• Senior-level ownership and collaboration across research and engineering.

Responsibilities

• Lead on large-scale data enrichment within the Core Model Safety team, including collaborations with Pre/Midtraining, reward modelling, self-supervised labelling, and the Data Enrichment Platform.
• Build workflows for large-scale enrichment, data curation, and hard/rare event mining in support of robust model performance and introspection.
• Design and train out-of-distribution detection mechanisms to enable robust driverless operation.
• Work at the intersection of model engineering, infrastructure, compute, and data, shaping the boundaries and architecture across those teams.
• Use your judgement and expertise to improve the overall efficiency of the machine learning and operations stack.

Skills

Hands-on ML systems

Python

PyTorch

Distributed computing

Leadership

Communication

Tools

CUDA

C++

Job description

Wayve in London is seeking a Senior Machine Learning Engineer for the AV Core organisation to lead large-scale data curation and rare-event mining for robust driverless operation. You will analyze performance in the real world, identify failure modes, and drive improvements across data, models, and infrastructure.

You will join a focused, high-impact team with ownership over core capabilities, access to vast fleet data, and close partnerships across research, simulation, evaluation and applied