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- Tasks: Lead a team to build and scale AI infrastructure systems.
- Company: AI-first tech company in Central London creating amazing visual content.
- Benefits: Flexible work, collaboration with global teams, and cutting-edge technology.
- Why this job: Make a real impact by turning AI research into products for millions.
- Qualifications: 6+ years in backend development and experience managing engineers.
- Other info: Join a friendly, fast-moving team with great career growth opportunities.
The predicted salary is between 48000 - 72000 ÂŁ per year.
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.
Engineering manager - ML Platform in England employer: Velocity Tech
Contact Detail:
Velocity Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering manager - ML Platform in England
✨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, we love hearing from passionate candidates who want to join our mission!
We think you need these skills to ace Engineering manager - ML Platform in England
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 team effectively.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about AI and ML infrastructure. Share specific examples of projects you've led or contributed to, and how they relate to the role. This is your chance to show us your personality!
Showcase Your Technical Skills: Don’t forget to mention your experience with cloud services, APIs, and system monitoring in your application. We want to see how you’ve tackled technical challenges in the past, 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 get started on this journey 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 you've used them will impress the interviewers.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to share examples of how you've led projects or mentored engineers in the past. Highlight your communication skills and how you foster teamwork, as these are crucial for success in this position.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical problems during the interview. Practice explaining your thought process clearly and logically. Think about challenges you've faced in previous roles and how you overcame them, especially those related to building scalable systems.
✨Align with Their Vision
Research the company’s products and their approach to AI technology. Be ready to discuss how your experience aligns with their goals and how you can contribute to building tools that help users create amazing visual content. Showing genuine interest in their mission will set you apart.
