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The Premier League

AI Engineer

The Premier League

AI Engineer designing and implementing AI agents for productivity enhancement at the Premier League. Collaborating with stakeholders to deliver value and improve workflows using AI technology.

Posted 5/22/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureTypeScript

About the role

Key responsibilities & impact
  • 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. Provide technical governance and best practices for agent-based systems.
  • Strong experience working with large language models (e.g. OpenAI, Azure OpenAI), prompt engineering, embeddings, vector databases, and retrieval-augmented generation (RAG). Ability to evaluate and optimise model performance for real-world use cases.
  • Build agents that integrate with internal systems (APIs, databases, SaaS tools such as Microsoft 365, Notion, etc.) 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.
  • As a senior member of a growing team, support other engineers through mentoring, documentation, and establishing best practices in AI engineering.
  • Define metrics and evaluation frameworks for agent performance, reliability, and safety. Continuously iterate based on feedback and usage data.
  • Experience deploying AI systems into production environments, including monitoring, observability, cost control, and lifecycle management of models and agents.
  • Experience of working within a project team in an Agile manner, collaborating closely with stakeholders to iteratively deliver value.
  • Ensure AI solutions adhere to security, privacy, and data governance standards. Awareness of risks such as hallucination, data leakage, and misuse, with mitigation strategies in place.
  • Liaise with the relevant Business Analyst, Quality Assurance Team, Security Team, Infrastructure Team and stakeholders on matters as required.

Requirements

What you’ll need
  • Experience building AI agents, copilots, or automation workflows using LLMs in a production or enterprise environment.
  • 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 of study or equivalent work experience.
  • Experience of leading projects or owning AI-driven initiatives end-to-end.
  • Experience of managing matters autonomously. **Strong technical awareness and the ability to think strategically about AI adoption within an organisation.
  • Outstanding attention to detail and strong analytical and research skills.
  • Excellent written and verbal communication skills, with the ability to explain AI concepts to non-technical stakeholders.
  • Excellent work ethic and ability to cope with pressurised situations and tight timeframes whilst maintaining a professional approach.

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account The Premier League Website LinkedIn All Job Openings 51 - 200 employees Founded 1992 ⚽ Sports 📱 Media Sports
  • Media The Premier League is the top level of the English football league system, consisting of 20 clubs such as Arsenal, Liverpool, and Manchester United. It features a season that runs from August to May, where each club plays 38 matches. The league is renowned for its competitiveness and attracts global viewership. It also plays a significant role in community and youth development, promoting initiatives like 'No Room for Racism' and 'Rainbow Laces' for social inclusion. The Premier League also conducts events like the ePremier League for online gaming enthusiasts and engages with fans through various digital platforms. AI Engineer 🔥 9 minutes ago 🏢🏡 London – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Azure TypeScript Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • 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. Provide technical governance and best practices for agent-based systems.
  • Strong experience working with large language models (e.g. OpenAI, Azure OpenAI), prompt engineering, embeddings, vector databases, and retrieval-augmented generation (RAG). Ability to evaluate and optimise model performance for real-world use cases.
  • Build agents that integrate with internal systems (APIs, databases, SaaS tools such as Microsoft 365, Notion, etc.) 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.
  • As a senior member of a growing team, support other engineers through mentoring, documentation, and establishing best practices in AI engineering.
  • Define metrics and evaluation frameworks for agent performance, reliability, and safety. Continuously iterate based on feedback and usage data.
  • Experience deploying AI systems into production environments, including monitoring, observability, cost control, and lifecycle management of models and agents.
  • Experience of working within a project team in an Agile manner, collaborating closely with stakeholders to iteratively deliver value.
  • Ensure AI solutions adhere to security, privacy, and data governance standards. Awareness of risks such as hallucination, data leakage, and misuse, with mitigation strategies in place.
  • Liaise with the relevant Business Analyst, Quality Assurance Team, Security Team, Infrastructure Team and stakeholders on matters as required. 🎯 Requirements
  • Experience building AI agents, copilots, or automation workflows using LLMs in a production or enterprise environment.
  • 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 of study or equivalent work experience.
  • Experience of leading projects or owning AI-driven initiatives end-to-end.
  • Experience of managing matters autonomously. **Strong technical awareness and the ability to think strategically about AI adoption within an organisation.
  • Outstanding attention to detail and strong analytical and research skills.
  • Excellent written and verbal communication skills, with the ability to explain AI concepts to non-technical stakeholders.
  • Excellent work ethic and ability to cope with pressurised situations and tight timeframes whilst maintaining a professional approach. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Product Manager, Enterprise AI Platform 🔥 6 hours ago Company Watch 11 - 50 🏦 Banking 🤝 B2B Website LinkedIn All Job Openings Senior Product Manager driving product strategy and execution for an Enterprise AI Platform in a pioneering AI startup. Collaborating with multidisciplinary teams to leverage AI capabilities for real-world applications. 🏢🏡 London – Hybrid ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🇬🇧 UK Skilled Worker Visa Sponsor AI Engineer 🔥 22 hours ago Orbital 51 - 200 ☁️ SaaS 🏠 Real Estate 🤝 B2B Website LinkedIn All Job Openings AI Engineer developing and scaling AI-driven products for commercial real estate transactions. Collaborating with cross-functional teams and utilizing cutting-edge AI technology. 🏢🏡 London – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 🇬🇧 UK Skilled Worker Visa Sponsor Lead AI Engineer 🕒 Yesterday Financial Conduct Authority 1001 - 5000 Website LinkedIn All Job Openings Lead AI Engineer at the FCA standardising AI solution patterns and establishing technical architectures. Collaborating with stakeholders while enhancing CI/CD pipelines and maintaining AI system performance. 🏢🏡 London – Hybrid 💵 £72.1k - £120k / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🇬🇧 UK Skilled Worker Visa Sponsor AWS Cloud Microservices AI Engineer 🕒 3 days ago Synthesized 11 - 50 ☁️ SaaS 🤖 Artificial Intelligence 🏢 Enterprise Website LinkedIn All Job Openings AI Engineer developing agentic offerings for Synthesized's software testing platform, collaborating with Product teams and shipping production-grade capabilities. 🏢🏡 London – Hybrid 🔥 Funding within the last year 💰 $20M Series A - Synthesized on 2025-09 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 🇬🇧 UK Skilled Worker Visa Sponsor Senior AI Engineer 🕒 3 days ago Zero100 51 - 200 🤖 Artificial Intelligence ☁️ SaaS Website LinkedIn All Job Openings Senior AI Engineer at Zero100 building and scaling AI systems for a membership-based intelligence company. Collaborating with diverse teams while managing end-to-end AI projects. 🏢🏡 London – Hybrid ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Cloud Open Source Python Spark SQL Unity View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools
large language modelsprompt engineeringembeddingsvector databasesretrieval-augmented generationAI agentsautomation workflowsTypeScriptAI system deploymentAgile methodology
Soft Skills
mentoringdocumentationattention to detailanalytical skillsresearch skillswritten communicationverbal communicationstrategic thinkingwork ethicability to cope under pressure