Senior Machine Learning Engineer, AV Core

Wayve; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Equity

Hybrid working

Relocation support

L&D budget

Health insurance

Job summary

Wayve's AV Core Engineering team seeks a senior data engineer to lead large-scale data enrichment and curation within the Core Model Safety group. You will collaborate across training stages, reward modelling, and self-supervised labelling, building scalable workflows to improve model robustness and introspection in real-world driving systems.

You should have hands-on Python and PyTorch experience, a track record in ML infrastructure and distributed computing, and the ability to lead technical

Qualifications

• Hands-on experience with ML systems deployed in real world settings.
• Strong software engineering practices and hands-on experience building ML training and evaluation systems.
• Experience with ML operations and infrastructure, including distributed computing and large-scale inference.

Responsibilities

• Lead large-scale data enrichment within the Core Model Safety team.
• Develop workflows for data curation and rare event mining in support of robust model performance.
• Design and train out-of-distribution detection mechanisms for robust driverless operation.
• Collaborate across research, simulation, and applied engineering to shape ML infrastructure.

Skills

Python

PyTorch

ML systems

Distributed computing

MLOps

System design

Job description

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.

About Our AV Core Engineering Team

Wayve’s AV Core organisation builds the foundational capabilities required for assisted and fully autonomous driving. Within AV Core, the Core Model Safety team focuses on collision avoidance, model understanding, and robustness under failure. You’ll join a focused, high-impact senior team working with large-scale training and fleet data, alongside partners in research, simulation, evaluation, and applied engineering.

Your day-to-day

You’ll lead large-scale data enrichment and curation initiatives, collaborating across pre- and mid-training, reward modelling, self-supervised labelling, and the Data Enrichment Platform. You’ll develop workflows for mining hard and rare events, investigate how models perform in the real world, and improve the efficiency and reliability of our machine learning operations stack.

What You’ll Be Working On

• 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.

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.

Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.

More About Wayve

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.

Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

How we work - Locations & Flexible Working:

Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.

The Interview Process

• Initial call / recruiter screen: 30 mins with Talent Partner.
• Competency Interviews: Programming and System Design Interviews - 2h total.
• Deep-dive technical interviews Domain ML Interviews - 2h total.
• Final interview: Mission & Values Alignment - 1h.

We’ll always explain the format and work around your availability.

What’s in it for you (Location dependant):

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

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.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve