At a Glance
- Tasks: Steward the lifecycle of AI models from hypothesis to deployment in autonomous driving.
- Company: Wayve, a leader in cutting-edge autonomous driving technology.
- Benefits: Hybrid working policy, inclusive culture, and opportunity to work on innovative projects.
- Other info: Dynamic role with opportunities for growth in a fast-paced environment.
- Why this job: Shape the future of autonomous driving and make a real impact on technology.
- Qualifications: 5+ years in release management or software engineering with strong SDLC knowledge.
The predicted salary is between 63000 - 77000 £ per year.
As Wayve’s Model Release Manager, you will steward the end-to-end lifecycle of AI models from hypothesis through training, evaluation, validation, and deployment across the vehicle fleet. You’ll implement structured release practices to balance rapid iteration with safety and reliability in production. You’ll work at the intersection of ML, software, and product, ensuring model releases align with engineering goals and onboard system constraints. This role offers the chance to shape how cutting-edge autonomous-driving models reach customers at scale.
Pay / Benefits
- hybrid working policy
- office in London
- inclusive and diverse culture
- opportunity to work on cutting-edge autonomous driving
Responsibilities
- Own the model release cycle with a steady cadence aligned to business priorities
- Define and manage gating and promotion criteria across hypothesis, training, evaluation, validation, and deployment
- Lead investigations of regressions and issues; manage rollbacks and roll-forwards of model versions
- Identify bottlenecks in the release process and implement dashboards and KPIs for visibility
- Build processes and frameworks to support clarity, stability, and business goals across model releases
- Influence end-to-end release tooling with ML platform and integration teams to improve developer experience
- Collaborate with ML engineering, evaluation, data science, software platform, testing, and product teams to ensure stable releases
- Maintain central communication on model-release status, risks, and timelines for stakeholders
- Conduct post-release reviews and drive corrective actions across teams
Key requirements
- 5+ years in release management, software engineering, or related field
- Strong SDLC and release-management knowledge including testing, integration, branching, and versioning
- Understanding of ML concepts: training vs inference, model versions, probabilistic validation
- Experience with CI/CD pipelines and automation tools (GitHub, Buildkite, CLI tools)
- Proven ability to manage releases in complex, fast-moving systems
- Comfort with high ambiguity and adaptable release processes/tooling
- Strong problem-solving and decision-making in data-limited trade-offs
- Good communication skills for engineers and leadership
- pragmatic
- methodical
- system-minded
- CI/CD pipelines
- GitHub
- Buildkite
Release Manager - AI Models employer: wayve
Wayve is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. With a focus on employee growth, you will have the opportunity to work alongside talented AI engineers in a hybrid environment, contributing to groundbreaking advancements in autonomous driving while enjoying the vibrant atmosphere of London. Join us to make a meaningful impact in the field of AI and data science.
StudySmarter Expert Advice🤫
We think this is how you could land Release Manager - AI Models
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at wayve or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to wayve.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like wayve.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like wayve that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Release Manager - AI Models
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at wayve.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at wayve and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at wayve
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If wayve uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
