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Model Release Engineer

Wayve · 🇬🇧 London, United Kingdom

Sponsorship Verification Proof

✓ 🇬🇧 UK Home Office Licensed Sponsor

Employer is on the UK Home Office register of licensed sponsors.

UK Home Office Register of Licensed Sponsors (Skilled Worker route): listed as 'Wayve Technologies Ltd', London — Skilled Worker; Worker (A rating)

An official government register match confirms the employer holds an active sponsor licence in this country. It does not guarantee that every individual role meets minimum salary or skill thresholds — always confirm sponsorship eligibility with the recruiter.

The job posting also states: “✈️ Relocation support and visa sponsorship where applicable”

Verification category
Employer on official sponsor register
Role category
Backend
Last verified
2026-10-25
First indexed
2026-10-24
Posted date
2026-10-02
ATS / Feed source
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Role Description (Excerpt)

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. 🧩 What you’ll be working on - A…

Excerpt only — read the full requirements and apply directly on Wayve's career page. We do not process applications.