Senior ML Engineer, Autonomous Driving Data & Safety

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

Benefits offered by this job

Hybrid working model

Market-rate salary benchmarking

Relocation support and visa where/app

Comprehensive benefits includinghealth

Dental

Enhanced maternity and paternity leave

Retirement or pension

Wellbeing and therapy programs

Learning and development budgets

Job summary

Wayve is building embodied intelligence for safe autonomous driving. The Core Model Safety team leads large-scale data enrichment, extraction, and model evaluation, collaborating with Pre/Midtraining, reward modelling, and simulation groups.

You will design workflows for hard/rare event mining and robust model introspection, shaping ML ops across teams. You will drive leadership in data-driven development and deployable ML systems, contributing to the scalable, researchers-to-engineers pipeline

Qualifications

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

Responsibilities

• Lead large-scale data enrichment and curation initiatives across teams.
• Design and train out-of-distribution detection mechanisms for robust driverless operation.
• Build workflows for large-scale enrichment, data curation, and rare event mining.
• Improve efficiency of the ML operations stack and simulations.

Skills

Python

ML systems

Communication

Leadership

Tools

PyTorch

C++

CUDA

Distributed training

Job description

Wayve is building embodied intelligence for safe autonomous driving. The Core Model Safety team leads large-scale data enrichment, extraction, and model evaluation, collaborating with Pre/Midtraining, reward modelling, and simulation groups.

You will design workflows for hard/rare event mining and robust model introspection, shaping ML ops across teams. You will drive leadership in data-driven development and deployable ML systems, contributing to the scalable, researchers-to-engineers pipeline