Release Manager - AI Models

Wayve is seeking a Release Manager - AI Models to help ensure the AI model powering its autonomous-driving technology is released reliably, on time, and to production standard. The role brings structured release practices to ML development, coordinating across ML engineering, evaluation and data science, software platform, testing, and product teams. This is a full-time role based in the London office with hybrid working.

Responsibilities

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 to training, evaluation, validation, and deployment, making clear what is ready to ship; 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; Run post-release reviews and turn lessons learned into practical improvements across teams; Define and justify release gates and promotion criteria; Build a release process that works for ML; Find bottlenecks in the release lifecycle, implement dashboards and KPIs, and escalate gaps; Partner with ML platform and integration teams on end-to-end automated release tooling; Strengthen how teams handle model versions, integration issues, regressions, and recovery

Requirements

5+ years of experience in release management, software engineering, or a related field; Understanding of the Software Development Life Cycle (SDLC) and release management practices, including testing strategy, system integration, branching, and versioning; Conceptual understanding of ML fundamentals (training data, training vs. inference, model versions or checkpoints, probabilistic model validation); Experience with CI/CD pipelines and automation tools such as GitHub, Buildkite, and CLI tools; Skilled at managing releases in complex, fast-moving systems and adapting processes and tooling as requirements change; Strong problem-solving and decision-making skills, including when release trade-offs depend on limited or ambiguous data; Clear communication with engineers and leadership about priorities, risks, and decisions; Pragmatic, methodical, and system-minded with strong release-engineering instincts

Nice to have

Experience in AI/ML, autonomous vehicles, or robotics; Familiarity with MLOps methodologies and tooling; Experience with ML evaluation practices and tooling, especially for physical systems (simulation, model leaderboards, A/B or shadow-mode testing); Awareness of model hardware and software dependencies; BSc or equivalent in Computer Science, Engineering, or a related technical discipline

Benefits

Salaries benchmarked against the market annually; Meaningful equity; Relocation support and visa sponsorship where applicable; Hybrid working and core hours; Hands-on work in vehicle workshops and labs; Learning and development budgets for training, conferences and growth; Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, and team socials