Release Manager - AI Models

Wayve - London, United Kingdom - Global - Construction & Infrastructure

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.

Hereโ€™s what this particular role covers.


๐Ÿ› ๏ธ About our Engineering Teams

Our engineering teams bring together ML engineering, evaluation and data science, software platform, testing, and product to turn breakthrough autonomous-driving technology into reliable products. Model releases connect these disciplines, taking AI models from early hypotheses through training, evaluation, and on-road testing to deployment across our vehicle fleet.

As our Release Manager โ€” AI Models, youโ€™ll help ensure that a core part of our technology โ€” the AI model โ€” is released reliably, on time, and to the standard required for production. Youโ€™ll bring structure and disciplined release practices to the fast-paced, non-deterministic world of ML, building the processes and systems that support clarity, stability, and business goals.

๐Ÿง  Your day-to-day

  • Own the model release cycle, maintaining a steady and predictable cadence while adapting to changing business priorities.

  • Coordinate across ML engineering, evaluation and data science, software platform, testing, and product to keep releases moving and resolve dependencies.

  • Run the gates that promote models from hypothesis โ†’ training โ†’ evaluation โ†’ validation โ†’ deployment, making clear what is ready to ship and what needs more work.

  • Drive investigations into regressions and integration issues, coordinate rollback or roll-forward decisions, and follow through on technical debt and corrective actions.

  • Be the central point of contact for model-release status, risks, and timelines, giving engineers and leadership the right level of detail.

  • Run post-release reviews and turn lessons learned into practical improvements across teams.

๐Ÿงฉ What youโ€™ll be

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