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For Companies At a Glance
- Tasks: Leverage cutting-edge ML technologies 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 £ 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 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 in Newcastle upon Tyne employer: Newcastle United
Contact Detail:
Newcastle United Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Newcastle upon Tyne
✨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. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Show Off Your Skills
Create a portfolio showcasing your projects and experiments. Whether it's GitHub repos or a personal website, make sure to highlight your ML models and any cool data visualisations you've done. This is your chance to impress potential employers with your hands-on experience!
✨Tailor Your Approach
When reaching out to companies, especially Newcastle United, tailor your message to reflect their values and goals. Mention how your skills can specifically help them enhance player performance and digital solutions. Personalisation goes a long way!
✨Apply Through Our Website
Don’t forget to apply through our careers page! It’s the best way to ensure your application gets seen by the right people. 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 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 your relevant experience, especially with Python and ML workflows, and don’t forget to showcase any projects that demonstrate your skills in action.
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 their mission. Keep it engaging and personal – we want to see your personality!
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 successfully communicated technical concepts.
Apply Through Our Website: Don’t forget to apply through our careers page! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Newcastle United Family!
How to prepare for a job interview at Newcastle United
✨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 to both technical and non-technical audiences.
✨Communicate Effectively
Since you'll need to communicate findings to various stakeholders, practice explaining your work in a way that's easy to understand. Use visual storytelling techniques if possible, and be prepared to discuss how you would present complex data insights to coaching staff or recruitment teams.
✨Stay Current and Curious
Demonstrate your commitment to continuous learning by discussing recent trends in machine learning and data science. Show enthusiasm for responsible ML implementation and be ready to talk about how you keep your skills sharp and stay informed about emerging technologies.
