At a Glance
- Tasks: Lead a team of engineers to drive AI innovation and manage cloud infrastructure.
- Company: Wayve, a pioneering company in the AI space, based in London.
- Benefits: Hybrid work options, competitive salary, and opportunities for professional growth.
- Other info: Exciting role with a focus on team development and cutting-edge projects.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience in MLOps and embodied AI, with strong leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
Wayve is seeking an Engineering Manager for our Machine Learning Platform team to lead a group of over six engineers, driving growth and innovation in AI. This pivotal role involves aligning team and company goals, supporting model training, and managing cloud infrastructure.
The ideal candidate will have extensive experience in MLOps and embodied AI development, coupled with a passion for nurturing team growth and technical guidance.
The role is based in London King’s Cross HQ, with hybrid options available.
ML Platform Engineering Manager - Lead AI Infra & Teams employer: Wayve
Wayve is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals passionate about AI and machine learning. With a focus on employee growth, we offer robust development opportunities and a supportive environment where your contributions directly impact our cutting-edge projects. Located in the vibrant King's Cross area of London, our hybrid work model ensures flexibility while being part of a dynamic team dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land ML Platform Engineering Manager - Lead AI Infra & Teams
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and MLOps space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and cloud infrastructure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions in MLOps and AI. Practice explaining complex concepts in simple terms – it shows you can lead and guide your team effectively.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace ML Platform Engineering Manager - Lead AI Infra & Teams
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the ML Platform Engineering Manager role. Highlight your MLOps experience and any leadership roles you've had, as we want to see how you can drive growth and innovation in AI.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for our team. Don’t forget to mention your experience with cloud infrastructure and team management.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work in MLOps and embodied AI development, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Wayve
✨Know Your MLOps Inside Out
Make sure you brush up on your MLOps knowledge before the interview. Be ready to discuss your experience with model training and cloud infrastructure, as these are key areas for the role at Wayve. Prepare examples of how you've successfully implemented MLOps in past projects.
✨Showcase Your Leadership Skills
As an Engineering Manager, you'll need to demonstrate your ability to lead a team. Think about specific instances where you've nurtured team growth or provided technical guidance. Be prepared to share how you align team goals with company objectives, as this will be crucial for Wayve.
✨Understand Embodied AI Development
Familiarise yourself with embodied AI concepts and how they relate to the role. Be ready to discuss any relevant projects you've worked on and how they can contribute to Wayve's mission. This shows your passion for the field and your readiness to innovate.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about Wayve's vision for their Machine Learning Platform and how they see the role evolving. This not only shows your interest but also helps you gauge if the company is the right fit for you.
