Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Release Manager — AI Models role.
Rezi rewrites your resume against Wayve's job description. Free.
Tailor your resume to this Release Manager — AI Models role.
Rezi rewrites your resume against Wayve's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Release Manager — AI Models posting at Wayve — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Release Manager — AI Models posting at Wayve — free, in seconds.
About the Role
At Wayve, you'll ensure our AI models are released reliably, on time, and to production standards. You will own the full lifecycle of AI models, balancing ML's non-deterministic nature with structured release practices. This role requires a pragmatic, methodical, and system-minded individual who understands the broader engineering, evaluation, and product ecosystem.
Responsibilities
- Own the model release cycle, maintaining a steady and predictable cadence for shipping new models while adapting to business priorities.
- Define and run the gates that promote a model from hypothesis to deployment, justifying promotion criteria based on performance, reproducibility, product requirements, safety, and integration compatibility.
- Drive investigations and follow-up actions on regressions, integration issues, and technical debt; manage rollback/roll-forward of model versions.
- Identify constraints in the model-release process and drive improvements, implementing dashboards and KPIs for visibility, and proactively escalating gaps.
- Build processes and frameworks that support clarity, stability, and business goals by understanding how model releases fit into the wider system.
- Partner with ML platform and integration teams to shape end-to-end automated release tooling, defining requirements that improve developer experience, release efficiency, and stakeholder communication.
- Collaborate with ML engineering, evaluation and data science, software platform, testing, and product teams to ensure successful and stable model releases.
- Act as the central point of contact for model-release status, risks, and timelines, keeping stakeholders informed.
- Run post-release reviews and drive corrective actions across teams.
Requirements
- 5+ years in release management, software engineering, or a related field.
- Strong 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 version/checkpoint, probabilistic model validation).
- Experience with CI/CD pipelines and automation tools (e.g. GitHub, Buildkite, CLI tools).
- Skilled at managing releases in complex, fast-moving systems.
- Comfortable operating with high ambiguity and adapting release processes and tooling as needed.
- Strong problem-solving and decision-making ability, especially in release trade-offs involving limited or ambiguous data.
- Good communication skills, comfortable working with engineers and presenting to leadership.
- Experience in AI/ML, autonomous vehicles, or robotics (desirable).
- Familiarity with MLOps methodologies and tooling (desirable).
- Experience with ML evaluation practices and tooling (desirable).
- Awareness of model hardware and software dependencies (desirable).
Skills
- Release Management
- Software Engineering
- SDLC
- CI/CD
- Automation Tools
- ML Fundamentals
- Problem-Solving
- Decision-Making
- Communication
Location
- London
Work Type
- Full-time
- Hybrid
Experience Level
- 5+ years
Education Level
- BSc or equivalent in Computer Science, Engineering, or a related technical discipline
About the Company
- At Wayve, we're developing breakthrough autonomous-driving technology.