Model Release Engineer

London, United KingdomFull-time2026-10-02 → 2026-10-07

Core

Design and build Python microservices to orchestrate the end-to-end model-release workflow for autonomous driving AI, integrating features, training, simulation, and on-road testing.

Role type

Senior Platform Engineer (MLOps focus)

Builds

Cloud-native services on Azure and Kubernetes for model lifecycle management

Domain

Autonomous driving / AI / MLOps

Deliverable

production ML models

Required skills

Python, Kubernetes, system design, distributed workflows, API orchestration, observability (metrics/logging/tracing), AI coding agents

Preferred skills

Azure, MLOps, model productionisation, React, simulation workflows

Technologies

Python, Kubernetes, Azure, React

Responsibilities

Design and build Python services for model-release orchestration; Integrate feature candidates and automate readiness checks; Connect with training platforms and APIs; Trigger simulation and on-road tests and surface quality gates; Productionise services on Azure and Kubernetes; Use AI coding agents to automate manual work

Seniority

Senior, hands-on IC (via careerplan.io/jobs/fe77a593-12be-403b-8664-a57d46f83971-model-release-engineer-at-wayve)

About Wayve

🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a