Senior ML Engineer – Autonomous Driving Data & Model Safety

Wayve; London (KY); Hybrid; USD 119,000 - 172,000; Full time

Job summary

Wayve is hiring a Senior Machine Learning Engineer in London to lead on data curation, rare event mining, and robust model introspection for driverless operation. You will work with core teams across research, simulation, and applied engineering on scalable ML infrastructure.

The role emphasizes hands-on Python/PyTorch work, distributed computing, and ownership of technical areas within a hybrid, office-and-work-from-home setting in London.

Qualifications

• Hands-on experience building ML systems deployed in real world environments.
• Strong Python and PyTorch proficiency with reliable training/evaluation pipelines.
• Experience with ML operations, distributed computing, and large-scale inference.
• Ability to own technical areas and communicate clearly across teams.

Responsibilities

• Lead large-scale data enrichment within the Core Model Safety team.
• Build workflows for data curation and rare event mining to improve model performance.
• Design and train out-of-distribution detection mechanisms for robust operation.
• Work at the interface of model engineering, infra, compute, and data.
• Improve efficiency of the ML and operations stack with sound judgment.

Skills

Python

PyTorch

ML systems

Distributed computing

Leadership

Tools

CUDA

C++

Job description

Wayve is hiring a Senior Machine Learning Engineer in London to lead on data curation, rare event mining, and robust model introspection for driverless operation. You will work with core teams across research, simulation, and applied engineering on scalable ML infrastructure.

The role emphasizes hands-on Python/PyTorch work, distributed computing, and ownership of technical areas within a hybrid, office-and-work-from-home setting in London.