Model Release Engineer

About the role

The Model Integration and Release team builds the platform that moves Wayve’s AI Driver models through training, simulation, on-road testing and release. You will design and build services that orchestrate the end-to-end model-release workflow, connecting systems to create a scalable and reliable path to production.

Responsibilities

• Design and build Python services and microservices that orchestrate the end-to-end model-release workflow.
• Integrate feature candidates into release branches and automate readiness checks before training begins.
• Connect with training platforms and APIs to coordinate behavioural-cloning, reinforcement-learning and subsequent training steps.
• Trigger simulation and on-road tests, collect results and surface quality gates, approvals and release status.
• Productionise services on Azure and Kubernetes, improving availability, scalability, performance, monitoring and alerting.
• Use AI coding agents to investigate issues, automate manual work and accelerate delivery.

Required skills

• Python
• Kubernetes
• Cloud-native infrastructure
• System design
• Distributed workflows
• APIs
• Observability
• Monitoring
• Logging
• Tracing

Nice to have

• Azure
• MLOps
• Model productionisation
• Training pipelines
• Evaluation
• Simulation
• React

Benefits

• Health insurance
• Dental insurance
• Enhanced maternity leave
• Enhanced paternity leave
• Retirement or pension
• Access to therapists
• Wellbeing partnerships
• Learning and development budget

About the Company

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. The company's mapless and hardware-agnostic AI platform integrates with global OEM partners to unlock advanced levels of automation.