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- Tasks: Leverage cutting-edge ML tech to enhance digital solutions and evaluate player performance.
- Company: Join the Newcastle United Family, a proud and innovative organisation.
- Benefits: Flexible working, employee bonuses, free lunch, and wellbeing resources.
- Why this job: Make a real impact on sports performance using advanced machine learning.
- Qualifications: Master’s degree in a relevant field and strong Python skills required.
- Other info: Be part of a diverse team committed to equality and inclusion.
The predicted salary is between 36000 - 60000 ÂŁ 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 transfer market.
Your impact
- You will apply the latest advancements in ML and data science to enhance digital products and services.
- Own the full model lifecycle from prototype to production, including deployment, monitoring, and iteration.
- Build and refine EPV models to quantify the impact of player actions and team strategies.
- Design and implement statistical models for player skill evaluation.
- Evaluate and select ML technologies with a focus on meaningful business impact.
- Collaborate with coaching staff, recruitment, data teams, and external vendors to deliver effective solutions.
- Communicate findings clearly to technical and non‑technical stakeholders using visual storytelling.
- Stay informed about emerging trends in ML, ensuring transparency, fairness, and accountability.
About you
- You will have a Master’s degree (or equivalent experience) in a relevant subject.
- Strong proficiency in Python, including dataframes (Pandas or Polars) and interactive prototypes.
- Solid foundation in ML workflows and libraries (e.g., scikit‑learn, PyTorch).
- Experience designing experiments and benchmarking for business impact.
- Familiarity with cloud platforms (Snowflake, Azure) and deploying models to production.
- Understanding of containerisation (Docker), CI/CD pipelines, and basic cloud infrastructure.
- Excellent communication and problem‑solving skills.
- Commitment to responsible ML implementation and continuous learning.
If you have any of the following that would be a distinct advantage but not essential:
- PhD with experience outside academia.
- Familiarity with Typescript and/or visualisation frameworks (e.g., d3.js).
- Experience with LLMs and related tools (HuggingFace, Langchain).
About the team
We are building a world class, innovative Data and Insights team who will directly impact on the performance and recruitment of our First Team.
Location
This role is based in Newcastle upon Tyne, please note, if you are not located in the Northeast and unable to relocate, we regret that we will not be able to progress your application.
Why choose us?
We’ve got a range of great benefits and rewards, from flexible ways of working, participation in our non‑contractual employee bonus scheme, NUFC life assurance, free parking, discount at Shearers Bar and the Club Shop, Helping Hand – where you can access free GP appointments, Wellbeing Resources, Legal and Financial Support, pension contribution, free lunch and the best part, free tea and coffee. In addition, we run a salary sacrifice scheme which includes, tech, car, cycle to work and many more.
United As One
We’re committed to equality, diversity and inclusion and believe in equal opportunities for all. We recognise that the diversity of our people is one of our greatest strengths. We work together to reflect the communities we serve and to maintain an inclusive environment in which everyone can be their authentic self and is enabled to achieve their full potential.
Safeguarding
We’re committed to being a place where everyone is safe, heard, valued and able to thrive so we place high value on the safeguarding and welfare of everyone we engage with.
How to apply
For further information on this role and about the club and our values please visit our careers page. Please apply as soon as possible as this vacancy may close early should we receive a high volume of suitable candidates. Recruitment Agencies – please note that we do not accept unsolicited / speculative candidate details or applications. Any candidates supplied, unless formally requested, will be taken as a direct / free candidate.
Machine Learning Engineer employer: Newcastle United Football Club
Contact Detail:
Newcastle United Football Club Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events related to machine learning. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your projects and experiments. Whether it's GitHub repos or interactive demos, let your work speak for itself. We want to see your coding chops and how you tackle real-world problems!
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and maybe even do mock interviews with friends. We believe confidence is key, so get comfortable talking about your experiences and solutions.
✨Apply Through Our Website
Don’t forget to apply directly through our careers page! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining the Newcastle United Family.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion for ML: When writing your application, let us see your enthusiasm for machine learning! Share specific projects or experiences that highlight your skills and how they relate to the role. We love seeing candidates who are genuinely excited about the field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this position. Highlight relevant experience with Python, ML workflows, and any cloud platforms you've worked with. This helps us see how you fit into our team and the role.
Be Clear and Concise: We appreciate clarity in applications. Use straightforward language and avoid jargon where possible. Remember, we want to understand your skills and experiences without having to decipher complex terms!
Apply Through Our Website: Don’t forget to submit your application through our careers page! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining the Newcastle United Family!
How to prepare for a job interview at Newcastle United Football Club
✨Know Your ML Stuff
Make sure you brush up on the latest machine learning technologies and frameworks mentioned in the job description. Be ready to discuss your experience with Python, scikit-learn, and PyTorch, as well as any projects you've worked on that demonstrate your skills in these areas.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Think about how you designed experiments or evaluated models for business impact, and be ready to explain your thought process clearly.
✨Communicate Like a Pro
Since you'll need to communicate findings to both technical and non-technical stakeholders, practice explaining your work in simple terms. Use visual storytelling techniques to make your points clear and engaging during the interview.
✨Stay Current and Curious
Demonstrate your commitment to continuous learning by discussing recent trends in machine learning. Mention any relevant courses, workshops, or conferences you've attended, and express your enthusiasm for responsible ML implementation and innovation.
