Location
London office with hybrid working model combining in-person collaboration and remote work.

Hours
Full Time

Salary
Negotiable

About the Role
At Wayve, we build the embodied intelligence that moves real vehicles safely and the ecosystem a billion machines will run on in the future. As a Release Manager - AI Models, you will play a critical role in ensuring that AI models are released reliably, on time, and meet production standards. You will bring structure and disciplined release practices to the fast-paced, non-deterministic world of machine learning, building processes and systems that support clarity, stability, and business goals.

Your responsibilities include owning the model release cycle with a steady and predictable cadence while adapting to changing priorities; coordinating across ML engineering, evaluation, data science, software platform, testing, and product teams to keep releases on track and resolve dependencies; running gates that promote models through hypothesis, training, evaluation, validation, and deployment stages; driving investigations into regressions and integration issues; managing rollback or roll-forward decisions; and conducting post-release reviews to implement improvements.

You will define release gates and promotion criteria balancing performance, reproducibility, safety, and compatibility with onboard software and vehicle platforms. You will build release frameworks tailored to ML systems, identify bottlenecks in the release lifecycle, implement dashboards and KPIs, and partner with platform teams to develop automated release tooling. Your work will strengthen how teams handle model versions, integration issues, regressions, and recovery to ensure reliable, stable deployments.

Wayve is pioneering an end-to-end AI platform for autonomous driving that learns directly from real-world experience. Our AI Driver navigates complex urban environments with intelligence and precision, unlocking advances in safety and efficiency. We operate a hybrid working model with hubs in London and globally, offering a collaborative and flexible environment where you can contribute to shaping the future of mobility.

Experience
Minimum 5 years in release management, software engineering, or related fields. Proven experience managing releases in complex, fast-moving systems and adapting processes and tooling as requirements evolve. Familiarity with Software Development Life Cycle (SDLC) and release management practices including testing strategy, system integration, branching, and versioning. Experience with CI/CD pipelines and automation tools such as GitHub, Buildkite, and CLI tools.

About you
Strong problem-solving and decision-making skills, especially when dealing with limited or ambiguous data. Excellent communication skills to clearly convey priorities, risks, and decisions to engineers and leadership. Pragmatic, methodical, and system-minded with strong release-engineering instincts. Ability to develop judgment for where ML systems require different approaches. Passionate about autonomy and eager to learn and grow in a dynamic environment.

Qualifications
Conceptual understanding of ML fundamentals including training data, training vs inference, model versions/checkpoints, and probabilistic model validation. Bonus qualifications include experience in AI/ML, autonomous vehicles, robotics, familiarity with MLOps methodologies and tooling, ML evaluation practices especially for physical systems, and awareness of model hardware and software dependencies. A BSc or equivalent in Computer Science, Engineering, or related technical discipline is desirable but not mandatory.