Model Release Engineer

Wayve; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Wayve in London is hiring a Model Release Engineer to automate end-to-end model release, from training through on-road testing and deployment. You will build scalable services and integrate with MLOps, Simulation, and Release Management to speed and securitize production of AI Driver models.

The role requires Python production services, distributed systems, Kubernetes, observability, and collaboration across teams. We offer a hybrid work model in London and a diverse, inclusive culture.

Qualifications

• Production services in Python experience.
• Distributed systems and API design.
• Cloud platforms with Kubernetes.
• Observability and monitoring knowledge.
• Experience with MLOps and model-release pipelines.

Responsibilities

• Design and build services to automate end-to-end model-release.
• Integrate with Model Eng, MLOps, Simulation, and Release teams.
• Collaborate across Wayve to align interfaces and priorities.
• Improve reliability, scalability, and observability of the platform.
• Provide visibility of model candidates and release status.
• Leverage AI-assisted tooling to accelerate delivery.

Skills

Python

Distributed systems

APIs / Microservices

Kubernetes

Observability

AI coding tools

MLOps

Front-end React

Cross-functional collaboration

Job description

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.

At Wayve, 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!

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.

The role

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.

• 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.

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.

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.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve.

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

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.