Release Manager - AI Models

• 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 → training → evaluation → validation → 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.

• You have 5+ years of experience in release management, software engineering, or a related field.

• You understand the Software Development Life Cycle (SDLC) and release management practices, including testing strategy, system integration, branching, and versioning.

• You have a conceptual understanding of ML fundamentals: what training data is, the difference between training and inference, what a model version or checkpoint represents, and why model validation is probabilistic rather than simply pass/fail.

• You have experience with CI/CD pipelines and automation tools such as GitHub, Buildkite, and CLI tools.

• You're skilled at managing releases in complex, fast-moving systems and comfortable adapting processes and tooling as requirements, architecture, and timelines change.

• You bring strong problem-solving and decision-making skills, including when release trade-offs depend on limited or ambiguous data.

• You communicate clearly with engineers and leadership, helping people understand priorities, risks, and decisions.

• You're pragmatic, methodical, and system-minded. You bring strong release-engineering instincts and are keen to develop the judgment to know where ML systems require a different approach.

• 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 - including simulation, model leaderboards, and statistically powered experiments such as A/B or shadow-mode testing.

• Awareness of model hardware and software dependencies.

• A BSc or equivalent in Computer Science, Engineering, or a related technical discipline.

🌱 Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement.

• 💰 Salaries benchmarked against the market annually

• 📈 Meaningful equity, sharing in the ownership and long-term success of Wayve

• ✈️ Relocation support and visa sponsorship where applicable

• ✅ Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs

• 📚 Learning and development budgets with support 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, team socials and more

A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you'll help write it. That suits people who want real ownership more than people who need a settled structure from day one.

If that sounds like the kind of problem you want to spend your time on, we'd really like to hear from you.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.