Staff Machine Learning Engineer - Ops

Wayve·London, United Kingdom·Remote·Posted 2 October 2026

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About the role

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 Model Integration and Release Team Our Model Integration and Release team owns the engineering release process for Wayve’s driving models. When research and engineering teams develop new architectures, features, or data changes, we validate that they meet our quality, safety, and performance standards before they reach customers. The team works across ML engineering, AI Platform, evaluation, and CI/CD to protect the model baseline while continually improving how reliably and efficiently we deliver models.⁠ 🧠 Your day-to-day - Define and evolve Wayve’s model development and release processes, including branching strategies, release cadence, configuration management, and quality gates. - Review proposed model, architecture, code, and metric changes to ensure the implementation matches its intended outcome. -…

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