At a Glance
- Tasks: Lead the development of AI infrastructure and mentor backend engineers.
- Company: Leading AI tech company in Greater London with a focus on innovation.
- Benefits: Stock options, private medical insurance, and flexible working arrangements.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: 8+ years in backend systems and strong leadership skills required.
- Other info: Dynamic hybrid work environment with opportunities for growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI technology company based in Greater London is seeking an ML Platform Tech Lead to develop their AI infrastructure. You will mentor backend engineers and collaborate with research teams to bring cutting-edge AI models into production.
The ideal candidate has over 8 years of experience in backend systems, strong leadership skills, and a B.Sc. in Computer Science.
Benefits include:
- Stock options
- Private medical insurance
- Flexible working arrangements
ML Platform Tech Lead — Scale AI Infra (Hybrid) employer: Lightricks
Contact Detail:
Lightricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Platform Tech Lead — Scale AI Infra (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups or webinars where you can chat with folks from companies you're interested in. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI infrastructure. This is your chance to demonstrate your expertise and leadership in backend systems. Make sure to highlight any mentoring experience too!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and think about how you can convey your experience in leading teams and collaborating with research groups. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly shows your enthusiasm for joining our team at StudySmarter!
We think you need these skills to ace ML Platform Tech Lead — Scale AI Infra (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in backend systems and leadership skills. We want to see how your background aligns with the role of ML Platform Tech Lead, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI infrastructure and how your experience can help us develop cutting-edge models. Keep it engaging and personal!
Showcase Your Mentoring Experience: Since mentoring is key for this role, include examples of how you've guided other engineers in the past. We love seeing how you’ve helped others grow and succeed in their careers!
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!
How to prepare for a job interview at Lightricks
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of backend systems and AI infrastructure. Be ready to discuss specific technologies you've worked with, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Leadership Skills
Prepare examples that highlight your mentoring experience and leadership style. Think about times when you've guided a team through a tough project or helped a colleague grow in their role.
✨Collaborate Like a Pro
Since you'll be working closely with research teams, be prepared to discuss how you approach collaboration. Share examples of successful projects where teamwork was key, and how you ensure smooth communication between technical and non-technical teams.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI initiatives, team dynamics, and future projects. This shows your genuine interest and helps you assess if the company is the right fit for you.