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- Tasks: Leverage advanced machine learning to enhance digital solutions and evaluate player performance.
- Company: Professional football club in Newcastle upon Tyne with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, employee wellbeing, and professional development 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 proficiency in Python and ML libraries required.
- Other info: Flexible work environment with a commitment to inclusion and growth.
The predicted salary is between 36000 - 60000 £ 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 in Newcastle upon Tyne 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 in Newcastle upon Tyne
✨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 be ready to discuss how you've applied them in real-world scenarios. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from passionate candidates who are eager to join our team.
We think you need these skills to ace ML Engineer — Flexible Work & Player-Performance Modeling in Newcastle upon Tyne
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 you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them in your application. We’re keen to see practical examples of your work, especially if they relate to sports or performance metrics!
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 would need, and how you would interpret the results. This will show them you can think critically and apply your skills practically.
✨Research the Club
Get to know the football club's values, recent achievements, and their approach to player performance. This will not only help you tailor your answers but also demonstrate your genuine interest in the role and the organisation.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. Inquire about their current projects, team dynamics, or how they measure success in this role. This shows that you’re engaged and eager to contribute to their goals.