Model Release Engineer
Wayve
London, United KingdomPosted Discovered via GreenhouseMatch locked
HybridFullTimeAV Engineering
About the role
Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here's what this particular role covers.
🛠️ 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
- Design and build Python services and microservices that orchestrate the end-to-end model-release workflow.
- Integrate feature candidates into release branches and automate readiness checks before training begins.
- Connect with training platforms and APIs to coordinate behavioural-cloning, reinforcement-learning and subsequent training steps.
- Trigger simulation and on-road tests, collect results and surface quality gates, approvals and release status.
- Productionise services on Azure and Kubernetes, improving availability, scalability, performance, monitoring and alerting.
- Use AI coding agents to investigate issues, automate manual work and accelerate delivery.
🧩 What you’ll be working on
- A trusted, end-to-end platform spanning feature integration, training, simulation, on-road testing, approvals and model promotion.
- Distributed workflows and APIs connecting systems owned by Model Engineering, MLOps, Measurement, Evaluation, Simulation, Operations and Release Management.
- Reliable approval gates, observability and operational tooling that provide clear visibility into model candidates and their progress.
- Cloud-native services running on Azure and Kubernetes, with meaningful metrics, logging, tracing, monitoring and alerting.
- Platform UI workflows, including React-based experiences where useful.
- Agentic automation that reduces manual engineering effort and increases the team's delivery capacity.
🙌 You should apply if
- You have strong software or platform engineering experience building reliable production services or microservices, ideally in Python.
- You have hands-on experience with Kubernetes, cloud-native infrastructure and production service operations; Azure experience would be an advantage.
- You have strong system-design skills across distributed workflows, APIs, orchestration and multi-system integrations.
- You have established observability using meaningful metrics, logging, tracing, monitoring and alerting.
- You can collaborate effectively across organisational boundaries, agree dependable interfaces and work through conflicting priorities.
- You use AI coding agents or LLM tools confidently and practically in your day-to-day engineering workflow.
- Experience with MLOps, model productionisation, training pipelines, evaluation, simulation or model-release workflows would be an advantage.
- Front-end development experience, particularly with React, would also be beneficial.
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.
🌱 Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement.
More about Wayve
🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.
Our ambition is to make autonomy universal. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.
How we work 💻- Locations & Flexible Working
Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.
🔍 The Interview Process
Our process is clear and respectful of your time:
•
Initial call / recruiter screen
(30 mins)
•
Competency interviews
(Python programming interview and hiring manager interview; 2 hours total)
•
Deep-dive technical interviews
(Software operations/MLOps and system design; 2 hours total)
•
Final interview
: values and overall fit (45 mins)
We'll always explain the format and work around your availability.
What’s in it for you (Location dependant)
💰 Salaries benchmarked against the market annually
📈 Meaningful equity, sharing in the ownership and long term success of Wayve
✈️ Relocation support and visa sponsorship where applicable
✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
📚 Learning and development budgets with support for training, conferences and growth
🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you'll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we'd really like to hear from you.
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
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.
Not included in the source posting: qualifications, benefits.
Skills
artificial-intelligenceazurekubernetesmlopspythonreactllmui
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.