Staff ML Ops & Release Engineer

AI Startups UK; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Wayve is seeking a Staff Machine Learning Engineer - Ops based in London, working in a hybrid model that blends office collaboration with remote work. You will set and enforce release gates across training phases, ensuring models are validated before progressing, and drive improvements to the ML delivery pipeline.

You will review release content, collaborate with platform and CI/CD teams, and help evolve evaluation methods to keep our models reliable.

Qualifications

• Full system thinker with experience of introducing operational processes to build engineering excellence.
• Strong ML Ops, model registry and ML lifecycle experience.
• Deep technical depth in ML training.
• 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.

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 ML Ops practices and tools and bring improvements into the workflow.

Skills

System thinking

ML Ops

ML training depth

ML infra

CI/CD

Communication

Tools

PyTorch

TensorRT

_quantisation_

Job description

Wayve is seeking a Staff Machine Learning Engineer - Ops based in London, working in a hybrid model that blends office collaboration with remote work. You will set and enforce release gates across training phases, ensuring models are validated before progressing, and drive improvements to the ML delivery pipeline.

You will review release content, collaborate with platform and CI/CD teams, and help evolve evaluation methods to keep our models reliable.