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- Tasks: Leverage cutting-edge machine learning 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.
- Other info: Dynamic environment with opportunities for continuous learning and career growth.
- Why this job: Make a real impact in sports tech while working with a world-class team.
- Qualifications: Master’s degree in a relevant field and strong Python skills required.
The predicted salary is between 36000 - 60000 £ 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
To access the full job description for this role please click a here.
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 - Newcastle upon Tyne in Darlington 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 - Newcastle upon Tyne in Darlington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to Newcastle United. Attend meetups or online events where you can chat with ML enthusiasts and professionals. You never know who might have the inside scoop on job openings!
✨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, make sure it highlights your best work. This is your chance to impress potential employers with your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical folks 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, keep an eye on our careers page for any updates or new roles that pop up. We want to see you join the Newcastle United Family!
We think you need these skills to ace Machine Learning Engineer - Newcastle upon Tyne in Darlington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your relevant experience, especially with Python and ML libraries, and don’t forget to showcase any projects that demonstrate your skills in data science.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role at Newcastle United and how your background aligns with our mission. Keep it engaging and personal!
Showcase Your Communication Skills: Since you'll be communicating findings to both technical and non-technical stakeholders, make sure to highlight your ability to convey complex ideas clearly. Use examples from past experiences where you’ve done this successfully.
Apply Through Our Website: We encourage you to apply directly through our careers page. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with Newcastle United!
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 any cloud platforms you've used. Showing that you're up-to-date will impress the interviewers!
✨Showcase Your Projects
Prepare to talk about specific projects where you've applied machine learning techniques. Highlight your role in the full model lifecycle, from prototyping to deployment. Use examples that demonstrate your ability to communicate complex findings clearly to both technical and non-technical stakeholders.
✨Understand the Business Impact
Familiarise yourself with how machine learning can drive business decisions, especially in a sports context. Be ready to discuss how your work can enhance player performance evaluation or team strategies. This shows that you’re not just a techie but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's goals, challenges, and how they measure success. This not only shows your interest in the role but also gives you a chance to assess if the company culture aligns with your values, especially regarding innovation and collaboration.