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- Tasks: Lead engineering teams to deliver innovative Machine Learning and AI platforms.
- Company: A leading fitness tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Shape the future of AI in fitness technology and drive impactful solutions.
- Qualifications: 8+ years in ML production, strong leadership skills, and cloud expertise.
- Other info: Join a dynamic team and make a difference in the fitness industry.
The predicted salary is between 48000 - 72000 £ per year.
A leading fitness technology company in Greater London is seeking an experienced ML Engineering Manager. This role involves leading engineering teams in delivering cutting-edge Machine Learning and AI platforms.
Candidates must have:
- 8+ years of experience in ML production implementation
- Proven people leadership skills
- Expertise in cloud technologies, preferably GCP
The position offers an opportunity to shape the AI backbone of the company and drive growth through advanced technological solutions.
ML Engineering Manager: Lead Production AI & MLOps in London employer: ON RUNNING
Contact Detail:
ON RUNNING Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineering Manager: Lead Production AI & MLOps in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fitness tech industry and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Showcase your leadership skills! When you get the chance to chat with potential employers, highlight your experience in leading teams and driving projects. Share specific examples of how you've shaped AI solutions in previous roles.
✨Tip Number 3
Stay updated on the latest trends in ML and cloud technologies. Being knowledgeable about GCP and other platforms will not only impress interviewers but also show that you're passionate about the field.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can give you a better chance of landing that dream job in ML engineering.
We think you need these skills to ace ML Engineering Manager: Lead Production AI & MLOps in London
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your 8+ years of experience in ML production implementation. We want to see how you've led teams and delivered successful projects, so don’t hold back on the details!
Demonstrate Leadership Skills: As a potential ML Engineering Manager, your people leadership skills are crucial. Share examples of how you've motivated and guided your team to success. We love seeing how you can inspire others!
Highlight Cloud Expertise: Since expertise in cloud technologies, especially GCP, is key for this role, be sure to mention any relevant projects or experiences. We’re keen to know how you’ve leveraged cloud solutions in your work.
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 us!
How to prepare for a job interview at ON RUNNING
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and production implementation techniques. Be ready to discuss specific projects you've worked on, especially those involving cloud technologies like GCP. This will show that you’re not just familiar with the theory but have real-world experience.
✨Showcase Your Leadership Skills
As a potential ML Engineering Manager, it’s crucial to demonstrate your people leadership skills. Prepare examples of how you've successfully led teams in the past, resolved conflicts, or mentored junior engineers. This will highlight your ability to manage and inspire a team effectively.
✨Understand the Company’s Vision
Research the fitness technology company and understand their mission and values. Think about how your experience aligns with their goals, especially in shaping their AI backbone. This will help you articulate why you’re a great fit for the role and how you can contribute to their growth.
✨Prepare Questions
Interviews are a two-way street, so come prepared with insightful questions. Ask about their current ML projects, team dynamics, or future technological directions. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.