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- Tasks: Lead a team to build AI and ML infrastructure systems.
- Company: AI-first tech company in Central London creating amazing visual content.
- Benefits: Competitive salary, flexible work, and a friendly team environment.
- Why this job: Work with cutting-edge AI tech and impact millions of users.
- Qualifications: 6+ years in backend development and experience managing teams.
- Other info: Collaborate globally and enjoy excellent career growth opportunities.
The predicted salary is between 48000 - 72000 ÂŁ 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
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Engineering manager - ML Platform employer: Velocity Tech
Contact Detail:
Velocity Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering manager - ML Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 potential employers a taste of what you can do and sets you apart from the crowd.
✨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 at the forefront of AI technology.
We think you need these skills to ace Engineering manager - ML Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your backend development experience and any leadership roles you've had. We want to see how your skills align with the ML Platform Engineering Manager role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about working with AI and how your experience can help us build amazing systems. Keep it conversational but professional—let your personality come through!
Showcase Your Technical Skills: We’re looking for strong skills in cloud services, APIs, and system monitoring. Make sure to mention specific technologies you’ve worked with and any projects where you’ve successfully led technical initiatives. This will help us see your fit for the role!
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 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. Think about challenges you faced and how you overcame them. This will demonstrate your ability to mentor and support your team, which is crucial for this position.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when discussing complex technical concepts. Good communication is essential for collaborating with researchers and other teams. Consider doing mock interviews to refine your delivery and ensure you come across as confident and approachable.
✨Align with Their Vision
Research the company’s products and their approach to AI-powered creativity. Be ready to discuss how your experience aligns with their goals and how you can contribute to building systems that run AI models effectively. Showing genuine interest in their mission will set you apart from other candidates.
