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Senior Machine Learning Engineer, AV Core

wayveLondon, United KingdomAV Engineering
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Salary
Not listed
Job type
Full-time
Experience
Senior
Posted
2 Oct 2026
Status
Open · checked 7d ago

About this role

This role suits senior professionals with hands-on ML deployment experience who want to shape foundational autonomous driving technology in London, United Kingdom. The position is a Senior Machine Learning Engineer, AV Core role at Wayve, focusing on collision avoidance, robustness, and core model safety.

Role Overview

The Senior Machine Learning Engineer, AV Core position is based in London, United Kingdom, operating on a hybrid model that blends office collaboration with remote flexibility. The AV Core organisation builds foundational capabilities for assisted and fully autonomous driving, with the Core Model Safety team concentrating on collision avoidance, model understanding, and failure robustness. This role involves working alongside partners in research, simulation, evaluation, and applied engineering using large-scale training and fleet data.

Key Responsibilities

Lead large-scale data enrichment and curation initiatives across pre- and mid-training, reward modelling, self-supervised labelling, and the Data Enrichment Platform.
Build workflows for mining hard and rare events to support robust model performance and introspection.
Design and train out-of-distribution detection mechanisms to enable safe driverless operation.
Collaborate across model engineering, infrastructure, compute, and data boundaries to shape architectural design.
Improve the efficiency and reliability of the machine learning and operations stack using professional judgement and expertise.

Requirements

Hands-on experience with machine learning systems deployed in real-world environments.
Proficiency in Python and PyTorch with strong software engineering practices for reliable training and evaluation systems.
Track record with machine learning operations and infrastructure, including distributed computing and large-scale inference.
Senior-level ownership and collaboration skills to lead a technical area and communicate effectively across research and engineering teams.

Nice to Have

Prior experience in autonomous vehicles or robotics with physical system deployment and closed-loop validation.
Experience mining, generating, or evaluating rare events via simulation and real-world fleet data.
Experience setting up cloud-based monitoring solutions such as dashboards, logging, and real-time alerts.
Familiarity with transformer-based and multimodal architectures including vision-language models and vision-language-action models.
Proficiency in C++, CUDA, distributed training, or performance optimization for production ML systems.

Skills and Tools

Python
PyTorch
C++
CUDA
Distributed training
Machine learning operations and infrastructure
Cloud-based monitoring and logging

Salary and Benefits

Salaries benchmarked annually against the market
Meaningful equity in the company
Relocation support and visa sponsorship where applicable
Hybrid working model with core hours and access to vehicle workshops and labs
Learning and development budgets for training and conferences
Comprehensive benefits including health insurance, dental, enhanced parental leave, pension options, therapy access, and wellbeing partnerships

About the Company

Wayve builds embodied intelligence to move real vehicles safely and creates a foundational AI platform for autonomous driving. The company uses an end-to-end AI approach that allows vehicles to learn directly from real-world experience rather than relying on hand-coded rules or pre-mapped environments. Wayve operates main hubs across London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg, employing a hybrid work environment.

How to Apply

Candidates should apply directly on the official Wayve careers page.

Skills and tech stack

Questions candidates ask

Where is this job located?

This position is based in London, United Kingdom, with a hybrid working model combining office collaboration and remote work.

What programming languages and frameworks are required?

Proficiency in Python and PyTorch is required, along with strong software engineering practices.

Is visa sponsorship available for this role?

Yes, relocation support and visa sponsorship are provided where applicable.

What team will I be joining?

You will join the Core Model Safety team within Wayve's AV Core organisation.

What is the interview process like?

The process includes an initial recruiter screen, 2 hours of competency interviews covering programming and system design, 2 hours of deep-dive domain ML technical interviews, and a final 1-hour mission and values alignment interview.

Ready to apply?

The application is on the official wayve careers page.

Apply on company site