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- Tasks: Use advanced machine learning to boost digital solutions and assess player performance.
- Company: Professional football club in Newcastle with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, wellbeing support, and growth opportunities.
- Why this job: Join a dynamic team and make a real impact in the world of sports technology.
- Qualifications: Master's degree and strong skills in Python and ML libraries.
- Other info: Flexible work environment with a commitment to employee development.
The predicted salary is between 30000 - 50000 £ per year.
A professional football club in Newcastle upon Tyne is seeking an experienced Machine Learning Engineer to leverage advanced machine learning technologies to enhance digital solutions and evaluate player performance metrics.
The ideal candidate will have a master's degree and strong proficiency in Python and ML libraries.
This role offers a competitive salary and a range of benefits, emphasizing inclusion, employee wellbeing, and professional development.
ML Engineer — Flexible Work & Player-Performance Modeling employer: Newcastle United FC
Contact Detail:
Newcastle United FC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer — Flexible Work & Player-Performance Modeling
✨Tip Number 1
Network like a pro! Reach out to people in the football and tech industries 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 machine learning projects, especially those related to player performance. This will give you an edge over other candidates.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and Python coding challenges. We want you to feel confident and ready to impress!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're serious about joining the team.
We think you need these skills to ace ML Engineer — Flexible Work & Player-Performance Modeling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about player-performance modelling and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Since we’re looking for someone with strong proficiency in ML libraries, make sure to mention specific tools and technologies you’ve worked with. We love seeing practical examples of your work!
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 FC
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss your experience with Python and relevant ML libraries, as they'll likely ask you to explain how you've applied these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some real-world scenarios related to player performance metrics. Think about how you would approach a problem, what data you'd need, and how you'd validate your models. This will show them you're not just theoretical but practical too.
✨Research the Club
Get to know the football club's values, recent performances, and any digital initiatives they've launched. This will help you tailor your answers and demonstrate your genuine interest in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and future projects. This shows that you're engaged and serious about the position. Plus, it gives you a chance to assess if the club is the right fit for you!
