At a Glance
- Tasks: Leverage cutting-edge machine learning tech to enhance digital solutions and evaluate player performance.
- Company: Join the Newcastle United Family, a proud and innovative organisation.
- Benefits: Competitive salary and the chance to be part of an exciting journey.
- Why this job: Make a real impact in sports innovation and data science.
- Qualifications: Experience in machine learning and a passion for sports analytics.
- Other info: Be part of a dynamic team with a rich history and future growth.
The predicted salary is between 30000 - 50000 £ per year.
We are the heartbeat of the city. Come and be a part of a long and proud history where we strive to be the best in everything we do, on and off the pitch. Bringing the people and communities together, join the Newcastle United Family, as we embark on the next steps of our exciting journey.
About the role
At Newcastle United, we strive to stay at the forefront of innovation, and this role is central to that ambition. As an ML Engineer, you will leverage cutting‑edge machine learning technologies to enhance our digital solutions and accelerate the testing and validation of data science hypotheses. Your work will help us evaluate advanced measures of player performance, such as Expected Possession Value (EPV), and build out our modelling capability beyond the.
Machine Learning Engineer (ML Engineer) 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 Machine Learning Engineer (ML Engineer) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other ML enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. Practising common ML interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. It shows initiative and gives us a chance to see your enthusiasm for joining the Newcastle United Family.
We think you need these skills to ace Machine Learning Engineer (ML Engineer) in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight relevant experience and skills that align with the job description, especially those related to machine learning technologies and data science.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for innovation and how you can contribute to Newcastle United's mission. Be specific about your experiences and how they relate to the role.
Showcase Your Projects: If you've worked on any machine learning projects, make sure to mention them! Include links to your GitHub or any relevant portfolios. This gives us a glimpse of your practical skills and creativity.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Newcastle United FC
✨Know Your ML Fundamentals
Brush up on your machine learning basics before the interview. Be ready to discuss algorithms, data preprocessing, and model evaluation metrics. This will show that you have a solid foundation and can apply these concepts in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about your previous projects involving machine learning. Highlight specific challenges you faced, how you overcame them, and the impact of your work. This gives the interviewers insight into your problem-solving skills and practical experience.
✨Understand Their Goals
Research Newcastle United's current initiatives and how they use data science in sports. Tailor your answers to demonstrate how your skills can help them achieve their objectives, especially in evaluating player performance and enhancing digital solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team. Inquire about their current projects or future goals in machine learning. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.