Overview

About TFG Labs: TFG Labs is the innovation arm of Twenty First Group, dedicated to pioneering AI-driven solutions that redefine the future of sports. We focus on developing groundbreaking technologies that enhance decision-making, performance analysis, and fan engagement across the sports industry. As a senior member of the Labs team, the research experiments you conduct will shape how the future of AI and sports intersect.

Role Overview

We are seeking a visionary and experienced Senior AI Engineer with a growth mindset to be a foundational pillar of our new AI Engineering team in TFG Labs. This is a role for a strategic thinker and a hands-on builder who is obsessed with the rapid advancements in AI. You will be our go-to expert on emerging AI paradigms, from agentic workflows to multi-modal systems, and will be empowered to drive our R&D roadmap. Your primary mission is to architect and prototype the next generation of AI-powered tools that will give TFG and our clients a definitive competitive edge, on and off the pitch.

Responsibilities

• Lead AI Research & Development: Drive the R&D of emerging technologies, and move beyond hype to identify tangible value for our business and clients
• Architect and Build Advanced Prototypes: Lead the hands-on development of sophisticated AI prototypes, particularly focusing on agentic systems, automation platforms, and novel applications of Large Language Models (LLMs)
• Drive Technical Adoption: Analyse and drive the evolution and internal adoption of our AI infrastructure and tooling
• Thought Leadership & Evangelism: Act as a thought leader within TFG. Translate complex AI concepts and the implications of your experiments for diverse audiences, from junior engineers to the C-suite. Mentor other team members
• Defining Pathways for Integration: Collaborate with cross-functional product and engineering teams to chart a path for successful prototypes to become scalable, integrated solutions within our core products.

Core Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 5+ years of hands-on experience in a dedicated AI/ML engineering role, with a demonstrable track record of building and shipping complex systems
• Expert-level proficiency in Python and its core AI/ML libraries (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex), and comfortable transitioning to a pilot role using AI tools to amplify your productivity
• Proven experience designing, deploying, and managing scalable AI solutions on at least one major cloud platform (AWS, GCP, Azure)
• Solid understanding of MLOps principles and experience with relevant tools (e.g., Docker, Kubernetes, MLflow) for building robust, production-ready systems

The Ideal Candidate

• Bleeding-edge AI: you actively follow research from top labs, experiment with open-source models, and can articulate architectural nuances between them
• Architect of intelligent agents: hands-on experience designing and building agentic AI systems and multi-agent architectures
• Master of the modern AI toolkit: early adopter of AI tools and capable of enabling a 10x developer workflow
• Clear communicator and educator: able to demystify complex AI concepts for non-technical stakeholders

Application Process: Interested candidates should submit their resume and a cover letter. In your cover letter, briefly describe a recent AI experiment you''ve run or a research paper that has recently excited you and why.

Benefits

• A pivotal role in shaping the AI strategy of a leader in the sports intelligence industry
• Significant autonomy and the budget to explore bold ideas and cutting-edge technologies
• The opportunity to work on genuinely novel problems with a world-class, collaborative team
• Competitive salary, comprehensive benefits package
• A flexible hybrid working model and a healthy dose of sports-related fun