Senior MLOps Engineer: Edge AI & Global Fleet
Senior MLOps Engineer: Edge AI & Global Fleet

Senior MLOps Engineer: Edge AI & Global Fleet

Full-Time 43200 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Manage machine learning infrastructure and build reliable deployment systems for smart cameras.
  • Company: Leading sports technology company with a focus on innovation and teamwork.
  • Benefits: Flexible work options, competitive salary, and a supportive work culture.
  • Why this job: Join a dynamic team and tackle exciting challenges in edge AI technology.
  • Qualifications: Extensive MLOps experience and knowledge of CI/CD practices required.
  • Other info: Opportunity for both on-site and remote work within the UK.

The predicted salary is between 43200 - 72000 Β£ per year.

A leading sports technology company is looking for a Senior MLOps Engineer to manage machine learning infrastructure for smart cameras. The role involves building reliable deployment systems, collaborating with various engineering teams, and solving complex challenges related to edge devices.

Candidates should have extensive experience in MLOps and CI/CD practices, with the opportunity for both on-site and remote work within the UK. This position supports a flexible and innovative work culture aimed at ensuring team success.

Senior MLOps Engineer: Edge AI & Global Fleet employer: Hudl

Join a leading sports technology company that champions innovation and flexibility, offering a dynamic work culture where your contributions directly impact the success of cutting-edge projects. With opportunities for professional growth and collaboration across diverse engineering teams, this role as a Senior MLOps Engineer not only allows you to tackle complex challenges but also supports a healthy work-life balance through both on-site and remote options within the UK.
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Contact Detail:

Hudl Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior MLOps Engineer: Edge AI & Global Fleet

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working in MLOps or at the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.

✨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 during interviews. Demonstrating your hands-on experience with deployment systems and edge devices can really impress.

✨Tip Number 3

Prepare for technical challenges! Brush up on your MLOps and CI/CD knowledge, as you might face some tricky questions or practical tests. We recommend practising with real-world scenarios to showcase your problem-solving skills.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.

We think you need these skills to ace Senior MLOps Engineer: Edge AI & Global Fleet

MLOps
CI/CD Practices
Machine Learning Infrastructure
Deployment Systems
Collaboration
Problem-Solving Skills
Edge Devices
Technical Expertise
Innovative Thinking
Flexibility
Teamwork

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience in MLOps and CI/CD practices. We want to see how your skills align with the role of managing machine learning infrastructure for smart cameras.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about edge AI and how you can contribute to our innovative work culture. Be specific about your past experiences and how they relate to the challenges we face.

Showcase Your Problem-Solving Skills: In your application, don’t shy away from discussing complex challenges you've tackled in previous roles. We love seeing how you approach problem-solving, especially in relation to edge devices.

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 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, especially around CI/CD practices. Be ready to discuss specific tools and frameworks you've used in the past, as well as any challenges you've faced and how you overcame them.

✨Showcase Your Problem-Solving Skills

Prepare to share examples of complex challenges you've tackled, particularly those related to edge devices. Think about how you approached these problems and what innovative solutions you implemented.

✨Collaborate Like a Pro

Since the role involves working with various engineering teams, be ready to discuss your experience in cross-team collaboration. Highlight any successful projects where teamwork was key to achieving results.

✨Embrace Flexibility and Innovation

This company values a flexible and innovative work culture, so come prepared to discuss how you adapt to change and foster creativity in your work. Share examples of how you've contributed to a positive team environment.

Senior MLOps Engineer: Edge AI & Global Fleet
Hudl
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  • Senior MLOps Engineer: Edge AI & Global Fleet

    Full-Time
    43200 - 72000 Β£ / year (est.)
  • H

    Hudl

    201-500
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