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Model Release Engineer

wayveLondon, United KingdomAV Engineering
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Salary
Not listed
Job type
Full-time
Experience
Mid
Posted
2 Oct 2026
Status
Open · checked 7d ago

About this role

Based in London, United Kingdom, this full-time Model Release Engineer position involves building platform infrastructure to transition autonomous driving AI models into production. This role suits software or platform engineers with microservices experience who want to design distributed workflows for autonomous vehicle technology.

Role Overview

This full-time position is based in the London office with a hybrid working policy combining office and remote time. The engineer joins the Model Integration and Release team to build the platform that moves AI Driver models from new features through training, simulation, on-road testing, and production release.

Key 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.

Requirements

Strong software or platform engineering experience building reliable production services or microservices, ideally in Python.
Hands-on experience with Kubernetes, cloud-native infrastructure, and production service operations.
Strong system-design skills across distributed workflows, APIs, orchestration, and multi-system integrations.
Established observability using meaningful metrics, logging, tracing, monitoring, and alerting.
Ability to collaborate effectively across organisational boundaries, agree dependable interfaces, and work through conflicting priorities.
Confident and practical use of AI coding agents or LLM tools in day-to-day engineering workflows.

Nice to Have

Experience with Azure.
Experience with MLOps, model productionisation, training pipelines, evaluation, simulation, or model-release workflows.
Front-end development experience, particularly with React.

Skills and Tools

Python
Azure
Kubernetes
React
APIs and microservices
AI coding agents and LLM tools

Salary and Benefits

Salaries benchmarked against the market annually
Meaningful equity
Relocation support and visa sponsorship where applicable
Hybrid working and core hours
Learning and development budgets
Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension, access to therapists, wellbeing partnerships, and team socials

About the Company

Wayve builds the embodied intelligence that moves real vehicles safely, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. The mapless and hardware-agnostic AI platform integrates with global OEM partners, scaling from L2 plus through to L4 automation. Wayve operates main hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg.

How to Apply

Apply on the official company careers page at https://wayve.ai/careers/

Skills and tech stack

PythonAzureKubernetes, ReactAPIsLLM toolsLLMReactMLOpsReinforcement Learning

Questions candidates ask

Where is this job located?

This role is based in London, United Kingdom, with a hybrid working model combining office and remote work.

What programming language is primarily required for the services?

The role requires strong software or platform engineering experience building production services or microservices, ideally in Python.

What cloud and container platforms are used?

The platform runs cloud-native services on Azure and Kubernetes.

Is visa sponsorship available?

Yes, relocation support and visa sponsorship are available where applicable.

What does the interview process look like?

The process includes an initial recruiter screen, competency interviews consisting of a Python programming interview and a hiring manager interview, deep-dive technical interviews covering software operations, MLOps, and system design, and a final interview focused on values and fit.

Ready to apply?

The application is on the official wayve careers page.

Apply on company site