Staff Machine Learning Engineer - Ops

Salary: £60,000 - 60,000 per year

Requirements:

• Full system thinker with experience introducing operational processes to build engineering excellence.
• Strong MLOps, model registry, and ML lifecycle experience.
• Deep technical depth in ML training.
• Strong understanding of ML code infrastructure and best practices, including experience with PyTorch, TensorRT, quantisation, and model deployment.
• Strong CI/CD and GitHub Actions experience.
• Strong communication skills with a collaborative mindset.
• Experience with PyTorch, TensorRT, quantisation, and model deployment.
• Experience with Grafana monitoring and production observability.

Responsibilities:

• Collaborate with ML engineers, data engineers, and product teams to deliver features end to end.
• Review release content, including model and metric changes and evaluation results, to confirm it meets our quality and safety standards before shipping.
• 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 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 MLOps practices and tools and bring improvements into the workflow.

Technologies:

• AI
• CI/CD
• GitHub
• Grafana
• Hardware
• MLOps
• PyTorch
• Machine Learning

More:

We are Wayve, founded in 2017 and the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, helping improve the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward, and our intelligent, mapless, hardware-agnostic AI products are designed for automakers to accelerate the transition from assisted to automated driving. We work in a fast-paced, high-trust, high-visibility environment where big problems motivate us, and we value diversity, inclusion, and collaboration. This full-time role is based in our London office, with a hybrid working policy that combines time in the office and at home.

last updated 36 week of 2026