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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 parking, and wellbeing resources.
- Why this job: Make a real impact in sports through advanced machine learning and data science.
- Qualifications: Master’s degree or equivalent experience in a relevant field; strong Python skills.
- Other info: Be part of a diverse team committed to equality and inclusion.
The predicted salary is between 28800 - 48000 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 the performance and recruitment of our First Team.
Location
This role is based in Newcastle upon Tyne. If you are not located in the Northeast and are 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
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 (ML Engineer) 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)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Newcastle United's current employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those relevant to sports analytics. This will give you an edge and demonstrate your passion for the role.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex ML concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies at Newcastle United.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Newcastle United family.
We think you need these skills to ace Machine Learning Engineer (ML 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 align with our goals at Newcastle United.
Tailor Your CV: Make sure your CV is tailored to the role of ML Engineer. Highlight relevant experience, especially with Python and ML libraries, and don’t forget to mention any cloud platforms you’ve worked with. We want to see how you can contribute to our innovative team!
Communicate Clearly: Remember, we value clear communication! Use straightforward language to explain your technical skills and experiences. Think about how you would explain complex concepts to someone without a technical background – this will help us understand your fit for the role.
Apply Through Our Website: Don’t forget to apply through our careers page! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Newcastle United FC
✨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 and data science. Show that you're not just knowledgeable but also passionate about responsible ML implementation and eager to stay ahead in the field.
