At a Glance
- Tasks: Design and build AI agents to enhance productivity in the Premier League.
- Company: Join the Premier League's innovative IT department and make an impact.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Other info: Inclusive workplace that values diversity and offers career development.
- Why this job: Be at the forefront of AI technology in a dynamic sports environment.
- Qualifications: Experience with AI agents, LLMs, and strong communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
The Premier League’s IT department is looking for an experienced AI Engineer to join the Engineering team, led by the Head of Systems, to design, build, and support AI‑powered copilots and agents across the Premier League and its member clubs. This role is part of a fixed‑term full‑time contract focused on delivering intelligent solutions that enhance productivity, automate workflows, and enable smarter decision‑making.
Key Responsibilities
- Design and implement scalable, reliable AI agents and copilots using modern LLM frameworks; define patterns for orchestration, tool usage, memory, and human‑in‑the‑loop workflows.
- Leverage large language models (OpenAI, Azure OpenAI, etc.) and practice prompt engineering, embeddings, vector databases, and retrieval‑augmented generation (RAG) to optimise model performance for real‑world use cases.
- Build agents that integrate with internal systems (APIs, databases, SaaS tools such as Microsoft 365 and Notion) to automate workflows and enhance productivity.
- Design intuitive copilot experiences that augment users rather than replace them, with a focus on usability, trust, and explainability.
- Mentor junior engineers and document best practices on AI engineering.
- Define metrics and evaluation frameworks for agent performance, reliability, and safety, and iteratively refine solutions based on feedback and usage data.
- Deploy AI systems into production, managing monitoring, observability, cost control, and lifecycle of models and agents.
- Collaborate within an Agile project team to deliver value iteratively with stakeholders.
- Ensure AI solutions comply with security, privacy, and data governance standards, and mitigate risks such as hallucination, data leakage, and misuse.
- Coordinate with Business Analysts, QA, Security, and Infrastructure teams as required.
Role Requirements
- Experience building AI agents, copilots, or automation workflows using LLMs in production or enterprise environments.
- Strong understanding of prompt engineering, RAG architectures, and tool‑augmented agents.
- Experience integrating AI solutions with APIs, databases, and enterprise systems.
- Familiarity with TypeScript.
- Education in an appropriate field or equivalent work experience.
- Experience leading projects or owning AI‑driven initiatives end‑to‑end.
- Ability to manage matters autonomously and think strategically about AI adoption within an organisation.
- Excellent attention to detail, analytical, and research skills.
- Strong written and verbal communication skills, including the ability to explain AI concepts to non‑technical stakeholders.
- Professional work ethic and resilience under pressure and tight timeframes.
EEO Statement
The Premier League is an equal opportunities employer and strives to create an inclusive culture where talent can flourish. We encourage applications from women, people from minority ethnic communities, LGBTQ+ people, and disabled people.
Accessibility and Support
If you have a disability and would like the advert in an alternative format, or would like to discuss how we can adjust the interview process, please contact recruitment@premierleague.com.
AI Engineer employer: The Premier League
The Premier League is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets sports. As an AI Engineer, you will have the opportunity to work on cutting-edge technology that enhances productivity and decision-making across the league, while also benefiting from a culture that prioritises inclusivity, professional growth, and collaboration. With a commitment to mentoring and a focus on employee well-being, the Premier League fosters a supportive atmosphere that empowers you to thrive in your career.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 AI projects, especially those involving LLMs and automation workflows. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and be ready to discuss your past experiences. Practice explaining complex ideas in simple terms, as you'll likely need to communicate with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI agents, LLMs, and any relevant projects you've led. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. Keep it engaging and make sure to connect your experiences to the job description.
Showcase Your Technical Skills:Don’t forget to mention your technical skills, especially in prompt engineering and integration with APIs. We love seeing specific examples of how you've used these skills in past roles, so be detailed!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at The Premier League
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI agents, LLMs, and prompt engineering. Be ready to discuss specific projects you've worked on that showcase your skills in these areas. The more you can demonstrate your expertise, the better!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially those involving automation workflows or integrating AI solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Communicate Clearly
Since you'll need to explain complex AI concepts to non-technical stakeholders, practice simplifying your explanations. Think about how you can make your technical knowledge accessible and relatable during the interview.
✨Be Agile and Collaborative
Familiarise yourself with Agile methodologies and be prepared to discuss how you've worked within a team to deliver value iteratively. Highlight any experience you have mentoring others or collaborating with cross-functional teams, as this will show you're a team player.
