Model Release Engineer London, United Kingdom

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

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The role

We’re looking for a Model Release Engineer to build the platform that moves Wayve’s AI models from promising new features through training, simulation, on-road testing and release. You’ll automate a complex process spanning multiple systems and teams, creating a scalable, reliable and transparent path to production. Working across the full model-release lifecycle, you’ll directly improve how quickly and confidently we deploy new AI Driver models.

Key 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.

About you

In order to set you up for success as a Model Release Engineer at Wayve, we’re looking for the following skills and experience.

Essential

• 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.

Desirable

• 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.

This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

For US candidates only, please visit E-Verify Notice and Participation and Right to Work

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.