Model Release Engineer

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 builds the platform that moves Wayve’s AI Driver models from promising new features through training, simulation, on-road testing and release. Working across the full model lifecycle, the team connects systems and teams to create a scalable, reliable and transparent path to production—helping Wayve deploy new models faster and with greater confidence.

Your day-to-day - Design and build Python services and microservices that orchestrate the end-to-end model-release workflow. - Integrate feature candidates into release branches and automate readiness checks before training begins. - Connect with training platforms and APIs to coordinate behavioural-cloning, reinforcement-learning and subsequent training steps. - Trigger simulation and on-road tests, collect results and surface quality gates, approvals and release status. - Productionise services on Azure and Kubernetes, improving availability, scalability, performance, monitoring and alerting. - Use AI coding agents to investigate issues, automate manual work and accelerate delivery.