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- Tasks: Lead a team to build and scale AI infrastructure for real-time model serving.
- Company: AI-first tech company creating tools for beautiful visual content.
- Benefits: Hybrid work, competitive salary, and a collaborative team environment.
- Why this job: Join a fast-moving team and make an impact on AI products used globally.
- Qualifications: 6+ years in backend engineering and 1-3 years in leadership roles.
- Other info: Opportunity to work at the forefront of applied AI with excellent career growth.
The predicted salary is between 43200 - 72000 £ per year.
We’re an AI-first technology company building tools that help people and brands create beautiful visual content at scale. Our products are powered by cutting-edge machine learning and used by millions worldwide—and we’re just getting started.
We’re now looking for an ML Platform Engineering Manager to lead the team responsible for the infrastructure behind our AI models. This is a hands-on leadership role at the intersection of engineering, research, and product—perfect for someone who loves solving complex systems problems and bringing AI from prototype to production.
What You’ll Do
- Lead and mentor a team of backend engineers focused on ML and AI infrastructure
- Partner closely with ML researchers to create model prototypes
- Design and build scalable, reliable systems to serve AI models in real time
- Own architectural decisions across model serving, performance, and reliability
- Foster a strong engineering culture through coaching, feedback, and support
- Ensure our platforms are intuitive for developers and performant for users
What We’re Looking For
- 6+ years of backend or platform engineering experience
- 1–3 years of people management or technical leadership experience
- Strong background in designing and scaling distributed systems
- Solid experience with cloud platforms, APIs, and observability/monitoring
- Proven ability to lead projects from concept through production
- Excellent communication and collaboration skills
- Exposure to (or strong interest in) ML model serving, GPUs, or AI infrastructure is a plus
- A degree in Computer Science or a related field is helpful, but not essential
Why Join Us?
- Work at the forefront of applied AI
- Build products used by millions around the world
- Join a smart, friendly, and fast-moving team
- Hybrid working: 3 days a week in our Central London office
- Collaborate with talented teammates across multiple countries
Engineering manger in City of London employer: Velocity Tech
Contact Detail:
Velocity Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering manger in City of 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
Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your experience aligns with their needs. Practise common interview questions and think about how you can showcase your leadership skills.
✨Tip Number 3
Show off your passion for AI and ML! During interviews, share your thoughts on current trends in the industry and how you’ve tackled complex systems problems in the past. This will demonstrate your enthusiasm and 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 and contributing to our exciting projects.
We think you need these skills to ace Engineering manger in City of 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 engineering experience and any leadership roles you've had, as we’re looking for someone who can lead a team effectively.
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 the ML Platform Engineering Manager role. Share specific examples of projects where you’ve solved complex systems problems.
Showcase Your Technical Skills: Don’t forget to mention your experience with cloud platforms, APIs, and distributed systems in your application. We want to see how you’ve applied these skills in real-world scenarios, especially in relation to ML and AI infrastructure.
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 during the process!
How to prepare for a job interview at Velocity Tech
✨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills, especially around distributed systems and cloud platforms. Be ready to discuss specific projects where you've designed or scaled systems, as this will show your hands-on experience.
✨Showcase Your Leadership Style
Since this role involves mentoring a team, think about examples that highlight your leadership approach. Prepare to share how you've fostered an engineering culture in the past and how you handle feedback and support for your team.
✨Collaborate Like a Pro
This position requires close collaboration with ML researchers, so be prepared to discuss how you've partnered with cross-functional teams before. Highlight any experiences where you’ve successfully bridged the gap between engineering and research.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. This could be about their current AI infrastructure challenges or how they envision the future of their ML platform. It shows your genuine interest and helps you assess if the company is the right fit for you.
