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- Tasks: Build and scale machine learning infrastructure for sports analytics.
- Company: Exciting sports analytics tech company in the UK.
- Benefits: Flexible remote work, competitive salary, and growth opportunities.
- Why this job: Join a passionate team and revolutionise sports analytics with your skills.
- Qualifications: Experience in production ML systems and proficiency in Python and AWS.
- Other info: Collaborative environment with a focus on innovation and automation.
The predicted salary is between 48000 - 72000 £ per year.
A sports analytics technology company in the United Kingdom is looking for a Senior MLOps Engineer to join their Global Football Metrics group. You will build and scale machine learning infrastructure that powers sports analytics, collaborate with teams, and drive automation in ML systems.
Ideal candidates should have experience in production ML systems and technical expertise in relevant tools such as Python and AWS. The role is flexible; remote candidates in the UK are welcomed.
Senior MLOps Engineer — Remote UK, Scale ML Infra in London employer: Hudl
Contact Detail:
Hudl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps Engineer — Remote UK, Scale ML Infra in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports analytics and MLOps space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Python and AWS. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on common MLOps scenarios. Think about how you would tackle challenges in scaling ML infrastructure and be ready to share your thought process.
✨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 take that extra step!
We think you need these skills to ace Senior MLOps Engineer — Remote UK, Scale ML Infra in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with production ML systems and tools like Python and AWS. We want to see how your skills align with what we’re looking for, so don’t be shy about 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 sports analytics and how your background makes you a perfect fit for our Global Football Metrics group. Let us know what excites you about the role!
Showcase Collaboration Skills: Since this role involves working with various teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing candidates who can work well with others and drive automation in ML systems.
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 Tech Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Python and AWS. Brush up on your knowledge of production ML systems and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Collaboration Skills
Since the role involves working with various teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve worked cross-functionally and how you contributed to the success of a project.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of MLOps principles and practices. Practice explaining complex concepts in simple terms, as you may need to communicate your ideas to non-technical stakeholders.
✨Demonstrate Your Passion for Sports Analytics
As this position is within a sports analytics company, showing genuine interest in sports can set you apart. Be prepared to discuss how your passion for sports intersects with your technical skills and how it drives your work in ML.
