IT & Software

Model Release Engineer

wayve

London · Greater London · United Kingdom

Overview

In this role you will design and operate the end-to-end model-release platform for Wayve's AI Driver models. You will automate multi-system workflows, improving speed, reliability and transparency from feature integration to production release. You’ll work with Product and Engineering teams to align interfaces and resolve integration challenges, using AI-assisted tooling to accelerate delivery. This position sits at the intersection of MLOps, simulation, testing and release management, shaping scalable deployment of autonomous driving models.

Pay / Benefits
  • hybrid working
  • London office
  • inclusive culture
Responsibilities
  • Design and build automated end-to-end model-release workflows from feature integration through training, evaluation, approval and promotion
  • Integrate the platform with systems across Model Engineering, MLOps, Simulation, Measurement, On-Road Testing, Operations and Release Management
  • Collaborate with cross-functional teams to align requirements, interfaces and resolve conflicts in shared workflows
  • Increase reliability, scalability and observability via monitoring, alerting and tooling
  • Provide clear visibility of model candidates, progress, evaluation results, approvals and release status
  • Leverage AI-assisted development and agentic workflows to automate repetitive engineering tasks
Key requirements
  • Strong software engineering experience with production-grade services in Python
  • Experience designing distributed systems, APIs or microservices connecting multiple tools/workflows
  • Proven ability to collaborate across organizational boundaries and align stakeholders
  • Experience operating cloud-based services using Kubernetes with focus on reliability and performance
  • Knowledge of observability, monitoring and alerting with meaningful service-health metrics
  • Comfort using AI coding tools and agents to boost productivity and automation
  • Ownership-driven mindset and ability to progress with evolving requirements
  • Cross-functional collaboration
  • Ownership and accountability
  • Proactive problem solving
  • Python production services
  • Distributed systems / APIs / microservices
  • Kubernetes

Reference: WJ-747_30161241

Apply now

Continue on the employer's official application - the same link they use for every candidate.

More jobs

This role is listed on GigBlows for discovery and search. Hiring decisions and applications are handled by the employer or their chosen application system.