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- Tasks: Use machine learning to enhance player evaluation models and collaborate with diverse teams.
- Company: Join a professional football club at the forefront of sports analytics.
- Benefits: Enjoy flexible working, employee bonuses, and continuous professional development.
- Why this job: Make an impact in sports by leveraging cutting-edge ML technologies.
- Qualifications: Master’s degree and strong Python skills with experience in machine learning libraries.
- Other info: Exciting role based in Newcastle upon Tyne with great career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A professional football club is seeking a Machine Learning Engineer to leverage cutting-edge machine learning technologies in enhancing digital solutions. The ideal candidate will have a Master’s degree and strong skills in Python and machine learning libraries.
Responsibilities include:
- Applying ML to improve player evaluation models
- Collaborating with various teams
The role is based in Newcastle upon Tyne and includes great benefits like flexible working, employee bonus schemes, and ongoing professional development.
ML Engineer — Sports Analytics & Model Deployment in Newcastle upon Tyne employer: Newcastle United Football Club
Contact Detail:
Newcastle United Football Club Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer — Sports Analytics & Model Deployment in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the sports analytics field, especially those working at football clubs. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to sports analytics. This will not only demonstrate your expertise but also your passion for the industry.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and machine learning libraries. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨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. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace ML Engineer — Sports Analytics & Model Deployment in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and experience with machine learning libraries in your application. We want to see how you can leverage these skills to enhance our digital solutions!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the ML Engineer role. Mention any relevant projects or experiences that align with improving player evaluation models.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your passion for sports analytics and machine learning shines through without unnecessary fluff.
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 from our team!
How to prepare for a job interview at Newcastle United Football Club
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss specific algorithms you've used, especially in sports analytics. They’ll want to see how you can apply your knowledge to improve player evaluation models.
✨Show Off Your Python Skills
Since Python is key for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your previous projects. Practise coding challenges related to machine learning to get comfortable.
✨Collaborate Like a Pro
This role involves working with various teams, so highlight your teamwork experience. Think of examples where you successfully collaborated on projects, especially in a sports context. Show them you can communicate complex ideas clearly.
✨Ask Smart Questions
Prepare thoughtful questions about the club's current digital solutions and how they envision using machine learning. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.
