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Model Integration and Release Engineer (DevOps/MLOps)

wayve • United Kingdom
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AI Summary

Build and maintain a scalable platform for integrating, testing, and deploying AI driving models at Wayve. Design Python microservices, automate workflows, and ensure seamless model release from simulation to production. Requires strong DevOps, Kubernetes, and cloud-native experience with Python, Azure, and observability tools.

Key Highlights
Build and maintain a platform for AI model integration, testing, and deployment
Orchestrate end-to-end model-release workflows using Python microservices
Experience with Kubernetes, Azure, and cloud-native infrastructure is essential

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Key Responsibilities
Design and build Python microservices for model-release workflow orchestration
Integrate feature candidates into release branches and automate readiness checks
Connect with training platforms and APIs for behavioral-cloning and reinforcement-learning coordination
Trigger simulation and on-road tests, collect results, and manage approvals and release status
Productionize services on Azure and Kubernetes, improving availability, scalability, performance, monitoring, and alerting
Use AI coding agents to automate manual work and accelerate delivery
Technical Skills Required
Python Kubernetes Azure

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Benefits & Perks
Meaningful equity
Hybrid working policy
Learning and development budgets
Comprehensive benefits including health insurance, dental, enhanced maternity/paternity leave, retirement/pension, wellbeing partnerships, and team socials

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Nice to Have
Experience with MLOps, model productionization, training pipelines, evaluation, or simulation
Front-end development experience with React
Experience with distributed workflows, APIs, and multi-system integrations

Job Description

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future.

🛠️ About Our Model Integration And Release Team

Our Model Integration and Release team builds the platform that moves Wayve’s AI Driver models from promising new features through training, simulation, on-road testing, and release. Working across the full model lifecycle, the team connects systems and teams to create a scalable, reliable, and transparent path to production—helping Wayve deploy new models faster and with greater confidence.

🧠 Your day-to-day

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Job Overview
Posted Nov 09, 2026
Employment Full-time
Experience Not Applicable
Location United Kingdom
Category Devops
Company wayve
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