Senior Machine Learning Engineer - AV Core

Before the detail, here's the challenge you'd help us solve.

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

The role

• As a Senior Machine Learning Engineer in Wayve's AV Core organisation, you will lead on methods for large-scale data curation and mining, including rare events from a heterogeneous
• fleet, enabling model introspection for robust driverless operation. You will bring insight into how our algorithms perform in the real world, seek failure modes, and drive ways to efficiently
• improve and evaluate them.

• The Core Model Safety team builds foundational capabilities for assisted and automated driving - collision avoidance, model understanding, and robustness under failure.
• You will work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied
• engineering.

Key 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.

About you

In order to set you up for success as a Senior Machine Learning Engineer at Wayve, we're looking for the following skills and experience.

Essential

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 machine learning 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.

Desirable

Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.

Experience mining, generating, or evaluating rare events using simulation and fleet or heterogeneous real-world data.

Experience setting up cloud-based monitoring solutions for large-scale operations, including dashboards, logging, and real-time alerts.

Experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent.

Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems.

This is a full-time role based in our office in London. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

A quick, honest note before you apply.

Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.

If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.