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- Tasks: Develop and scale machine learning infrastructure for smart cameras and drive automation.
- Company: Leading sports technology company with a focus on innovation.
- Benefits: Competitive compensation, remote work options, and a culture of autonomy.
- Why this job: Join a dynamic team and make an impact in the world of sports technology.
- Qualifications: Experience in production MLOps, containerization, and systems design required.
- Other info: Great opportunities for personal growth and career advancement.
The predicted salary is between 60000 - 80000 £ per year.
A leading sports technology company is seeking a Senior MLOps Engineer to develop and scale machine learning infrastructure for smart cameras. You'll design delivery systems, collaborate with engineers and product managers, and drive automation for model testing.
The ideal candidate will have experience in production MLOps, containerization, and systems design.
The role offers competitive compensation, remote working options, and a culture of autonomy and growth.
Senior MLOps Engineer — Edge AI & Fleet Deployments in London employer: Hudl
Contact Detail:
Hudl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps Engineer — Edge AI & Fleet Deployments in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports tech industry, especially those working with MLOps. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects, especially any work with smart cameras or automation. This will help us see your hands-on experience and creativity in action.
✨Tip Number 3
Prepare for the interview by brushing up on your systems design knowledge. Be ready to discuss how you would tackle real-world challenges in MLOps, particularly in edge AI and fleet deployments.
✨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 connect directly with us.
We think you need these skills to ace Senior MLOps Engineer — Edge AI & Fleet Deployments in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in MLOps, containerization, and systems design. We want to see how your skills align with the role of Senior MLOps Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about Edge AI and how your background makes you a perfect fit for our team. Let us know what excites you about working with smart cameras!
Showcase Collaboration Skills: Since this role involves working closely with engineers and product managers, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action, so share those stories!
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’s super easy – just a few clicks and you’re done!
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 production environments and containerization. Be ready to discuss your past experiences with scaling machine learning infrastructure and how you've tackled challenges in model deployment.
✨Showcase Your Collaboration Skills
Since the role involves working closely with engineers and product managers, prepare examples of successful collaborations from your previous roles. Highlight how you’ve contributed to team projects and driven automation in model testing.
✨Demonstrate Your Systems Design Expertise
Be prepared to talk about your approach to systems design. Think of specific projects where you designed delivery systems for machine learning models and be ready to explain your thought process and the outcomes.
✨Embrace the Culture of Autonomy
This company values autonomy and growth, so express your enthusiasm for taking initiative. Share instances where you’ve independently driven projects or implemented new ideas that improved processes or outcomes.