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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 a real impact in sports using cutting-edge machine learning technologies.
- Qualifications: Master’s degree and strong skills in Python and machine learning libraries.
- Other info: Exciting opportunity 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 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
✨Tip Number 1
Network like a pro! Reach out to people in the sports analytics field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to sports analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and machine learning libraries. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let’s get you that dream job!
We think you need these skills to ace ML Engineer — Sports Analytics & Model Deployment
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and machine learning libraries. 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 sports analytics and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool ML projects, especially in sports or player evaluation, make sure to mention them! We’re keen to see practical examples of your work and how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
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 beforehand to keep your skills sharp!
✨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 to non-technical team members.
✨Research the Club
Familiarise yourself with the football club’s history, values, and recent developments. This will not only help you answer questions but also show your genuine interest in the role and the organisation. Plus, it gives you a chance to ask insightful questions during the interview!
