AI Model Release & Deployment Engineer

OpenDigital Limited; Greater London; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

Wayve is seeking a Model Release Engineer in London to design automated, scalable release pipelines for AI Driver models. You will integrate across Model Engineering, MLOps, Simulation, and Release Management to accelerate safe production deployments.

You will work with cross-functional teams to ensure reliable, observable performance in a cloud-based, hybrid office environment. Strong Python production experience and a pragmatic ownership mindset are essential.

Qualifications

• Strong software engineering experience, including building production services and platforms in Python.
• Experience designing distributed systems, APIs or microservices that connect multiple tools and workflows.
• Proven ability to collaborate across organisational boundaries, align stakeholders, agree technical interfaces and work through conflicting priorities.
• Experience operating cloud-based services using Kubernetes, with a good understanding of reliability, scalability and performance.
• Practical knowledge of observability, monitoring and alerting, including defining meaningful service-health metrics.
• Confidence using AI coding tools and agents to improve engineering productivity and automate repeatable work.
• A pragmatic, ownership-driven approach and the ability to make progress where requirements and processes are still evolving.
• Experience with MLOps, machine-learning infrastructure or production model-training and release pipelines.
• Understanding of model evaluation, simulation, experiment orchestration or approval-gated release processes.
• Front-end development experience, ideally using React.
• Experience supporting highly available platforms used within business-critical production workflows.

Responsibilities

• Design and build services and workflows that automate the end-to-end model-release process, from feature integration through training, evaluation, approval and promotion.
• Integrate the platform with systems owned by Model Engineering, MLOps, Simulation, Measurement, On-Road Testing, Operations and Release Management.
• Work closely with teams across Wayve to understand their requirements, agree interfaces and resolve technical or delivery conflicts across shared workflows.
• Improve the reliability, scalability and observability of the platform through effective monitoring, alerting and operational tooling.
• Provide clear visibility of model candidates, their progress, evaluation results, approvals and release status.
• Use AI-assisted development and agentic workflows to automate manual engineering tasks and accelerate delivery.

Skills

Python

Distributed Systems

Collaboration

Kubernetes

Observability

AI coding tools

Ownership

Tools

React

MLOps

Job description

Wayve is seeking a Model Release Engineer in London to design automated, scalable release pipelines for AI Driver models. You will integrate across Model Engineering, MLOps, Simulation, and Release Management to accelerate safe production deployments.

You will work with cross-functional teams to ensure reliable, observable performance in a cloud-based, hybrid office environment. Strong Python production experience and a pragmatic ownership mindset are essential.