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- Tasks: Lead the development of scalable ML platforms and mentor engineers.
- Company: Join a pioneering company at the forefront of generative AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by transforming cutting-edge ML models into production systems.
- Qualifications: 8+ years in backend engineering with experience in large-scale systems.
- Other info: Dynamic role focused on solving challenging infrastructure problems in AI.
The predicted salary is between 60000 - 84000 £ per year.
We’re hiring a Tech Lead – ML Platform to build and scale the infrastructure behind advanced generative AI systems. This is a hands‑on leadership role focused on taking cutting‑edge ML models from research into reliable, production‑grade systems used at global scale.
What You’ll Do
- Lead architecture and evolution of scalable ML platform systems
- Productionise advanced ML models with research teams
- Drive technical strategy and best practices
- Mentor engineers and own end-to-end delivery
What We’re Looking For
- 8+ years in backend / distributed systems engineering
- Proven ownership of large‑scale systems
- Strong APIs, cloud, and observability experience
- Exposure to ML serving or GPU systems (plus)
If you enjoy solving hard infrastructure problems at the frontier of AI, let’s talk.
Technical Lead in London employer: Velocity Tech
Contact Detail:
Velocity Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with ML platforms. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to backend systems and ML. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common technical questions for Tech Leads and practice your answers. Be ready to discuss your experience with large-scale systems and how you've tackled challenges in the past.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Make sure to tailor your application to highlight your experience with scalable ML systems and leadership in tech.
We think you need these skills to ace Technical Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in backend and distributed systems engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your ownership of large-scale systems!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the Tech Lead position and how your background in ML platforms can help us build and scale our infrastructure. Keep it engaging and relevant!
Showcase Your Technical Skills: Don’t forget to mention your experience with APIs, cloud technologies, and observability tools. If you’ve worked with ML serving or GPU systems, make sure to highlight that too – it’s a plus for us!
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’s super easy!
How to prepare for a job interview at Velocity Tech
✨Know Your Tech Inside Out
Make sure you’re well-versed in backend and distributed systems engineering. Brush up on your knowledge of APIs, cloud services, and observability tools. Being able to discuss your past experiences with large-scale systems will show that you’re the right fit for this hands-on leadership role.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams or projects in the past. Highlight your mentoring experience and how you've driven technical strategy. This role is about taking charge, so demonstrating your ability to lead and inspire others will be key.
✨Understand ML and AI Fundamentals
Even if you’re not a data scientist, having a solid grasp of machine learning concepts will set you apart. Familiarise yourself with the latest trends in generative AI and be ready to discuss how you can productionise advanced ML models effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s ML platform and its future direction. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it’s a great way to demonstrate your strategic thinking.