Staff Machine Learning Engineer - Ops

This is a high-trust, high-visibility role: our release process directly protects our model baseline, and a mistake here has real consequences for how the product performs on-road and how it's perceived externally.

Key responsibilities:

• Collaborate with ML engineers, data engineers, and product teams to deliver features end to end.
• Review release content—model and metric changes, evaluation results—to confirm everything meets Wayve's quality and safety standards before it ships.
• Identify bottlenecks in the ML delivery pipeline and drive fixes that improve speed without compromising quality.
• Collaborate with AI Platform teams to ensure tooling meets our delivery needs, defining and building the checks and automation that catch issues earlier.
• Collaborate with CI/CD teams to adapt workflows and streamline model delivery.
• Collaborate with evaluation teams to ensure evaluation methods are reliable, identify gaps, and drive new methodology for evaluating our models.
• Stay up to date with the latest in MLOps practices and tools and bring improvements into the workflow.

About you

In order to set you up for success as a Staff Machine Learning - Ops at Wayve, we’re looking for the following skills and experience.

Essential

• Full system thinker with experience of introducing operational processes to build engineering excellence.
• Strong ML Ops, model registry, and ML lifecycle experience.
• A deep technical depth in ML training.
• A strong understanding of ML code infrastructure and best practices—experience with pytorch, tensor RT, quantisation, and model deployment.
• Strong CI/CD and Github Actions experience.
• Strong communications skills with a collaborative mindset.

Desirable

• Experience with Pytorch, TensorRT, quantisation, and model deployment.
• Experience with Grafana monitoring and production observability.

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.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

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.

For US candidates only, please visit E-Verify Notice and Participation and Right to Work.

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.