At a Glance
- Tasks: Lead a team of engineers to enhance our Machine Learning Platform and support model training.
- Company: Wayve, a pioneering AI company focused on autonomous driving solutions.
- Benefits: Competitive salary, equity, flexible hours, and bespoke learning opportunities.
- Other info: Enjoy a vibrant workplace with a private chef, socials, and a culture of collaboration.
- Why this job: Join a world-class team tackling one of the biggest challenges in AI and autonomy.
- Qualifications: Experience in MLOps, infrastructure management, and embodied AI development.
The predicted salary is between 80000 - 100000 £ per year.
Who are we? We're building artificial intelligence capable of complex driving using end-to-end deep learning; one which can scale across diverse urban environments. Wayve is building a full driving software system which is data-driven at every layer, learning to drive. Our unique end-to-end machine learning approach learns to drive in complex, never-seen-before urban environments. We learn to drive with computer vision by both observing human driving and by using reinforcement learning. This is one of the world's hardest and most impactful problems to solve. Which is why we're building a diverse, world-class team of people who are motivated by the opportunity to work with brilliant people on challenging problems that leave a positive impact on society.
What you'll do: We are seeking an Engineering Manager for our Machine Learning Platform (MLP) team, responsible for leading a team of over six engineers. This role is pivotal in supporting our Science teams' model training and cloud infrastructure efficiency. The ideal candidate will foster a collaborative and innovative culture, aligning team goals with company objectives and driving growth in AI technology.
Essential qualifications include:
- Experience in MLOps and infrastructure management
- A strong background in embodied AI development
- A passion for nurturing team growth
- Expertise in roadmap planning and stakeholder management
This role requires a balance of technical acumen and strategic foresight, making it ideal for someone with a blend of hands-on experience and visionary leadership in an evolving landscape.
Impact expected:
- Lead a growing team of 6+ engineers and enable company-wide goals
- Deliver work needed to support all Science teams to train models and run cloud infrastructure efficiently
- Provide a safe space for team members to challenge each other and grow in their careers through intentional coaching and development
- Partner with leadership, program managers, and other peer EMs to maintain a culture of collaboration, impact, innovation, and health
- Ensure goals of the team are aligned to company goals, and the team is set up for success
- Contribute to KPIs and metrics of the team, systems, and tooling they provide currently
- Intentionally invest in improvements that move the needle on ML engineers' productivity
- Provide technical guidance where needed and rely on senior engineers on the team to make decisions that drive the team and company forward
- Anticipate the needs of the business 6-24 months out, identify areas where additional resources are needed or new domain expertise is required, and pitch this to leadership for investment
This role will be based in our London King's Cross HQ, but we are open to discussing hybrid roles for the right candidate.
What we are looking for in our candidate:
- Prior experience as a manager of MLOps and Infra teams
- Passionate about fostering personal and professional growth in individual team members, building inclusive high-performing teams
- Industry experience with embodied AI development with real-world product impact
- Experience with roadmap planning, stakeholder management, requirements gathering, and alignment with peers towards milestones and deliverables
- Prior hands-on Cloud Infrastructure and/or MLOps experience
Desirable:
- Experience working in a project-based (
Engineering Manager - Machine Learning Platform in London employer: Wayve
Wayve is an exceptional employer, offering a unique opportunity to work at the forefront of artificial intelligence and machine learning in a collaborative and innovative environment. With a focus on personal and professional growth, employees benefit from bespoke learning opportunities, flexible working hours, and a vibrant workplace culture that includes a private onsite chef and regular social events. Located in the dynamic King's Cross area of London, Wayve provides a stimulating atmosphere for those passionate about making a positive impact on society through cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager - Machine Learning Platform in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Wayve. A friendly chat can open doors that applications alone can't. Use LinkedIn or attend relevant meetups to connect with potential colleagues.
✨Tip Number 2
Show off your skills! If you have a portfolio or GitHub projects related to MLOps or AI, make sure to highlight them during interviews. This is your chance to demonstrate your hands-on experience and passion for the field.
✨Tip Number 3
Prepare for the technical deep dive! Brush up on your knowledge of cloud infrastructure and machine learning concepts. Be ready to discuss how you've tackled challenges in these areas before—it's all about showcasing your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Wayve.
We think you need these skills to ace Engineering Manager - Machine Learning Platform in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you're genuinely excited about tackling complex problems and contributing to our mission.
Tailor Your Experience:Make sure to highlight your relevant experience in MLOps and infrastructure management. We’re looking for someone who can lead a team effectively, so share specific examples of how you've done this in the past.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to understand your qualifications and how they align with our goals.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Wayve
✨Know Your Stuff
Make sure you brush up on your MLOps and cloud infrastructure knowledge. Be ready to discuss specific projects you've worked on, especially those involving embodied AI. This shows you're not just familiar with the concepts but have hands-on experience that can benefit the team.
✨Show Your Leadership Style
Prepare to talk about how you foster growth and collaboration within your teams. Think of examples where you've successfully coached team members or navigated challenges in a project-based environment. This will demonstrate your ability to lead and inspire others.
✨Align with Company Goals
Understand Wayve's mission and how the Engineering Manager role fits into their objectives. Be ready to discuss how you would align your team's goals with the company's vision, and share ideas on how to drive innovation and impact in AI technology.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about the current challenges the MLP team faces or how they measure success. This not only demonstrates your enthusiasm but also helps you gauge if the company culture aligns with your values.
