At a Glance
- Tasks: Lead a team in developing MLOps infrastructure for innovative AI features.
- Company: Exciting sports tech company with a focus on cutting-edge technology.
- Benefits: Flexible remote work, competitive salary, and opportunities for career growth.
- Why this job: Join a dynamic team and shape the future of sports technology with AI.
- Qualifications: Expertise in deploying ML models, strong Python skills, and team management experience.
- Other info: Enjoy a balanced work-life harmony while making an impact in the industry.
The predicted salary is between 48000 - 72000 £ per year.
A sports technology company is seeking an Engineering Manager to lead a new team in London focused on MLOps infrastructure for innovative AI features. This role involves both strategic leadership and hands-on development.
Candidates should have expertise in deploying ML models, strong Python skills, and experience managing technical teams.
The position offers flexibility for remote work within the UK, ensuring work-life harmony and opportunities for career growth.
Edge AI & MLOps Engineering Manager in London employer: Hudl
Contact Detail:
Hudl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Edge AI & MLOps Engineering Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports tech and AI space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. It’s a great way to demonstrate your hands-on experience with MLOps.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and ML model deployment knowledge. We want to see you shine when discussing your technical expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Edge AI & MLOps Engineering Manager in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and MLOps shine through. We want to see how your passion aligns with our mission to innovate in sports technology!
Highlight Relevant Experience: Make sure to showcase your experience in deploying ML models and managing technical teams. We’re looking for someone who can lead us into the future, so don’t hold back on those achievements!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so make it easy for us to see why you’re the perfect fit for this role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Hudl
✨Know Your MLOps Inside Out
Make sure you brush up on your MLOps knowledge before the interview. Be ready to discuss your experience with deploying ML models and any specific tools or frameworks you've used. This will show that you're not just a manager but also someone who understands the technical side of things.
✨Showcase Your Leadership Style
Prepare to talk about your approach to leading technical teams. Think of examples where you've successfully managed projects or guided team members through challenges. This will help demonstrate your strategic leadership skills, which are crucial for this role.
✨Highlight Your Python Proficiency
Since strong Python skills are a must-have, be ready to discuss your coding experience. You might even want to bring up specific projects where you've used Python to solve problems or improve processes. This will reinforce your technical credibility.
✨Emphasise Work-Life Harmony
Given the flexibility for remote work, it’s a good idea to express your thoughts on work-life balance. Share how you manage your time effectively and encourage your team to do the same. This shows that you value a healthy work environment, aligning with the company's culture.