Engineering Manager, Edge AI & MLOps (London/Remote)
Engineering Manager, Edge AI & MLOps (London/Remote)

Engineering Manager, Edge AI & MLOps (London/Remote)

London Full-Time 48000 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • 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 in sports technology and drive impactful innovations.
  • 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 Β£ 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

Join a forward-thinking sports technology company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the future of AI in sports. With competitive benefits, opportunities for professional growth, and the flexibility of remote work within the UK, this role as an Engineering Manager allows you to lead a talented team while shaping cutting-edge MLOps solutions. Embrace the chance to mentor engineers and drive technological advancements in a supportive environment that champions creativity and excellence.
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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 edge AI and MLOps. 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 the latest trends in AI and MLOps. We want you to be able to discuss how you can innovate and lead a team effectively.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Engineering Manager, Edge AI & MLOps (London/Remote)

Leadership Skills
Mentoring
MLOps
Machine Learning
Edge Computing
AI Research
Technical Management
Innovation
Roadmap Development
Collaboration
Problem-Solving Skills
Communication Skills
Adaptability

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 in the past. We love seeing how you've helped teams grow!

Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the role. We appreciate candidates who take the extra step to show they understand 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 don’t miss out on any important updates about the hiring process. Let’s get started on this journey together!

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 edge AI and MLOps. Brush up on your knowledge of deploying machine learning models and be ready to discuss specific tools and frameworks you've used in past projects.

✨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 guided engineers in previous roles, focusing on your approach to fostering innovation and collaboration.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in managing MLOps infrastructure and how you overcame them. Be ready to explain your thought process clearly.

✨Align with Their Vision

Research the company’s mission and recent developments in sports technology. Be prepared to discuss how your experience and ideas can contribute to their roadmap for future innovations, showing that you’re genuinely interested in their work.

Engineering Manager, Edge AI & MLOps (London/Remote)
Hudl
Location: London
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  • Engineering Manager, Edge AI & MLOps (London/Remote)

    London
    Full-Time
    48000 - 72000 Β£ / year (est.)
  • H

    Hudl

    201-500
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