Release Manager (AI Models)

Location: London, United Kingdom; hybrid working with regular time in the office and workshops

Company

hirify.global develops autonomous-driving technology powered by AI models deployed across vehicle fleets.

What you will do

• Own and coordinate the AI model release cycle, maintaining a predictable cadence while adapting to business priorities.
• Define and operate promotion gates from hypothesis through training, evaluation, validation, and deployment.
• Set release criteria covering performance, reproducibility, product requirements, safety, and compatibility with onboard software and vehicle platforms.
• Investigate regressions and integration issues, manage model rollbacks and roll-forwards, and drive corrective actions.
• Build dashboards, KPIs, processes, and frameworks that improve release visibility, stability, and efficiency.
• Partner with ML platform, integration, engineering, evaluation, data science, testing, software platform, and product teams on automated release tooling and post-release reviews.

Requirements

• 5+ years of experience in release management, software engineering, or a related field.
• Strong knowledge of SDLC and release management, including testing strategy, system integration, branching, and versioning.
• Conceptual understanding of ML fundamentals, including training data, training versus inference, model checkpoints, and probabilistic validation.
• Experience with CI/CD pipelines and automation tools such as GitHub, Buildkite, and CLI tools.
• Experience managing releases in complex, fast-moving systems, with strong problem-solving, decision-making, and communication skills.
• Ability to work with ambiguity and communicate effectively with engineers and leadership.

Nice to have

• Experience in AI/ML, autonomous vehicles, or robotics.
• Familiarity with MLOps methodologies and tooling.
• Experience with ML evaluation 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.
• BSc or equivalent degree in Computer Science, Engineering, or a related technical discipline.

Culture & Benefits

• Full-time employment with a hybrid working policy.
• Time in offices and workshops supports collaboration, innovation, relationships, and learning.
• Time working from home is incorporated into the working model.