At a Glance
- Tasks: Lead a team to build AI infrastructure and turn prototypes into real products.
- Company: AI-first tech company in Central London, creating amazing visual content tools.
- Benefits: Competitive salary, flexible work, and a friendly, fast-moving team environment.
- Other info: Opportunity for career growth and collaboration with global teams.
- Why this job: Work with cutting-edge AI tech and impact millions of users globally.
- Qualifications: 6+ years in backend development and experience managing engineers.
The predicted salary is between 72000 - 108000 £ per year.
ML Platform Engineering Manager – AI Infrastructure
We're an AI‐first tech company based in Central London, creating tools that help people and brands make amazing visual content. Our apps are powered by cutting‐edge AI, and we're growing fast.
We're looking for an ML Platform Engineering Manager to lead the team that builds the systems running our AI models. If you enjoy solving big technical problems and want to help bring AI research to millions of users, we'd love to hear from you.
What You'll Do
Lead a team of backend engineers focused on AI and ML infrastructure
Work with researchers to turn AI model prototypes into real products
Build systems that run our AI models quickly, reliably, and at scale
Make decisions about how to design and build these systems
Help your team grow by mentoring and supporting them
Ensure our systems work well for both developers and users
What We're Looking For
6+ years of backend development experience
1–3 years managing engineers or leading technical projects
Experience building and scaling backend or platform systems
Strong skills in cloud services, APIs, and system monitoring
A track record of leading technical projects from start to finish
Great communication and teamwork skills
Some experience or interest in AI model serving or GPU infrastructure is a plus
A degree in Computer Science or similar is helpful
Why Join Us?
Work with the latest AI technology
Help build products used by millions of people
Be part of a friendly, fast‐moving team
Work on‐site in Central London 3 days a week, with flexibility
Collaborate with teams across the world
Interested?
Click "Apply" or message us to learn more. Let's build the future of AI‐powered creativity—together.
Seniority level
Mid‐Senior level
Employment type
Full‐time
Job function
Engineering, Information Technology, and Management
Industries
Movies, Videos, and Sound, Software Development, and Audio and Video Equipment Manufacturing
#J-18808-Ljbffr
Engineering manager - ML Platform in London employer: Velocity Tech
Velocity Tech is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer continuous learning opportunities and mentorship for our teams, ensuring that you can thrive in your career while working on impactful AI and cloud projects. Our commitment to agile methodologies and quality delivery not only enhances your professional skills but also allows you to make a meaningful contribution to our clients' success.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering manager - ML Platform in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and ML. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and system design challenges. Practice explaining your thought process clearly, as communication is key in leading teams and projects.
✨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.
We think you need these skills to ace Engineering manager - ML Platform in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend development experience and any leadership roles you've had, as we’re looking for someone who can lead our ML Platform team.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI and how your background makes you a great fit for this role. Share specific examples of projects where you’ve solved technical problems or led teams, as this will help us see your potential.
Showcase Your Technical Skills:Don’t forget to mention your experience with cloud services, APIs, and system monitoring in your application. We want to know how you’ve built and scaled backend systems, so be specific about your achievements!
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 don’t miss out on any important updates from our team. Let’s build the future of AI-powered creativity together!
How to prepare for a job interview at Velocity Tech
✨Know Your Tech Inside Out
Make sure you’re well-versed in backend development, cloud services, and system monitoring. Brush up on your knowledge of AI model serving and GPU infrastructure, as these are key areas for the role. Being able to discuss specific technologies and how they relate to the job will show your expertise.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully managed teams or led technical projects. Highlight your mentoring experiences and how you've supported team growth. This will demonstrate that you can lead a team effectively while fostering a collaborative environment.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when discussing complex technical concepts. Good communication is crucial for this role, so be ready to explain your ideas in a way that’s easy to understand for both technical and non-technical audiences.
✨Align with Their Vision
Research the company’s products and their approach to AI-powered creativity. Be prepared to discuss how your experience aligns with their goals and how you can contribute to building systems that run AI models efficiently. Showing genuine interest in their mission will set you apart.
