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-driven autonomous driving models. Design Python microservices, orchestrate workflows, and automate release pipelines on Azure/Kubernetes. Requires strong DevOps/MLOps experience, Kubernetes expertise, and system design skills for distributed workflows.

Key Highlights

Build and maintain a platform for AI model integration, testing, and deployment in autonomous driving.

Orchestrate end-to-end model-release workflows using Python microservices and Kubernetes/Azure.

Collaborate across teams (MLOps, Engineering, Operations) to ensure scalable, reliable, and transparent model deployment.

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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 to coordinate behavioral-cloning and reinforcement-learning.

Trigger simulation and on-road tests, collect results, and manage approval gates.

Productionize services on Azure and Kubernetes, improving availability, scalability, and observability.

Use AI coding agents to automate manual work and accelerate delivery.

Technical Skills Required

Python Kubernetes Cloud-Native Development (Azure)

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Benefits & Perks

Meaningful equity

Hybrid working policy

Relocation support and visa sponsorship

Comprehensive benefits including health insurance, dental, enhanced maternity/paternity leave, retirement, and wellbeing partnerships

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Nice to Have

Experience with MLOps, model productionization, and training pipelines.

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.