Senior ML Engineer - Autonomous Driving & Data Enrichment

Wayve; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Wayve is building the leading AI platform for autonomous driving, enabling vehicles to learn from real-world experience. This senior role focuses on data enrichment, model safety, and scalable ML infrastructure to drive robust driverless performance.

You will collaborate across Pre/Midtraining, reward modelling, and labelling pipelines, shaping workflows and data strategies that improve efficiency and reliability of the ML stack across teams.

Qualifications

• Hands-on experience with ML systems deployed in the real world.
• Proficiency in Python and PyTorch, with strong software engineering practices and hands-on experience building reliable ML training and evaluation systems.
• A strong track record with ML operations and infrastructure, including experience with distributed computing environments and large-scale inference.
• Senior-level ownership and collaboration: able to lead a substantial technical area, work across research and engineering boundaries, and bring others along through clear written and verbal communication.

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

Inference at scale

Senior ownership

Communication

Tools

CUDA

Job description

Wayve is building the leading AI platform for autonomous driving, enabling vehicles to learn from real-world experience. This senior role focuses on data enrichment, model safety, and scalable ML infrastructure to drive robust driverless performance.

You will collaborate across Pre/Midtraining, reward modelling, and labelling pipelines, shaping workflows and data strategies that improve efficiency and reliability of the ML stack across teams.