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- Tasks: Lead a team to deploy machine learning models on edge devices and mentor engineers.
- Company: Exciting sports tech company in London with a focus on innovation.
- Benefits: Competitive salary, supportive work environment, and remote work options.
- Why this job: Shape the future of AI while working on cutting-edge technology.
- Qualifications: Experience in engineering management and MLOps infrastructure.
- Other info: Join a dynamic team with opportunities for growth and creativity.
The predicted salary is between 48000 - 72000 £ per year.
A sports technology company in London is seeking an Engineering Manager to lead a new team focused on deploying machine learning models to edge devices. In this role, you will mentor engineers while managing the technical aspects of the MLOps infrastructure. You are encouraged to innovate with state-of-the-art AI research and help shape the roadmap for future developments. Remote candidates within the UK are welcome. Competitive benefits and a supportive work environment are provided.
Engineering Manager, Edge AI & MLOps (London/Remote) employer: Hudl
Contact Detail:
Hudl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager, Edge AI & MLOps (London/Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and MLOps. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to machine learning and edge devices. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with mentoring and managing teams, as well as your approach to deploying ML models.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Engineering Manager, Edge AI & MLOps (London/Remote)
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your interests align with our mission in sports technology and how you can contribute to our innovative projects.
Highlight Your Leadership Skills: As an Engineering Manager, you'll be mentoring engineers and managing technical aspects. Make sure to showcase your leadership experience and any successful projects you've led. We love seeing how you've helped teams grow and succeed!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that match the job description. We appreciate when candidates take the extra step to connect their background with what we’re looking for.
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Hudl
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest trends and technologies in machine learning and MLOps. Brush up on your knowledge of deploying models to edge devices, as this will likely be a key focus during your interview.
✨Showcase Your Leadership Skills
As an Engineering Manager, you'll need to demonstrate your ability to mentor and lead a team. Prepare examples of how you've successfully managed teams in the past, highlighting your approach to fostering innovation and collaboration.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and technical decision-making. Think about real-world scenarios you’ve faced in previous roles and how you tackled them, especially in relation to MLOps and AI deployment.
✨Align with Their Vision
Research the company’s mission and recent projects. Be ready to discuss how your experience and ideas can contribute to their roadmap for future developments, showing that you’re not just a fit for the role but also passionate about their goals.
