Senior or Lead AI Engineer - Hybrid, London - £75-95k+ bens - Sports Data & AI Innovation
An industry-leading sports intelligence organisation is building a pioneering AI function and is looking for a Senior or Lead AI Engineer to become a cornerstone of their new AI Engineering team. This is a rare opportunity to work at the intersection of cutting-edge AI and the world of elite sport, shaping how advanced models, intelligent agents, and multimodal systems influence decision-making and performance across the sector.
You'll lead hands-on research and development, architecting sophisticated prototypes that push beyond hype to uncover true competitive advantage. Working with modern AI tooling-LLMs, agentic frameworks, automation platforms, LangChain, LlamaIndex, PyTorch, TensorFlow. You'll build and test next-generation systems, drive the evolution of internal AI infrastructure, and guide the adoption of scalable cloud-based solutions across AWS, GCP or Azure. You'll collaborate closely with product and engineering teams to turn experiments into production-ready features, acting as an internal evangelist and trusted expert who can translate complex ideas for both technical and non-technical audiences. Curiosity, intelligence, and persistence are essential, alongside a genuine passion for sport and the ability to empathise with the fans who power the industry.
This role offers a high level of autonomy, the freedom to explore bold ideas, and the chance to work in a genuinely innovative environment tackling problems rarely seen elsewhere. You'll join a world-class team in a business that values experimentation, continuous learning, and creative technical thinking, perfect for someone who thrives on staying ahead of AI breakthroughs and applying them in meaningful, real-world ways.
To apply, send your CV through the application process. Nathan Laidlaw at Transparent Technology will be in touch.
Keywords: Senior AI Engineer, AI Research, Machine Learning, LLMs, Agentic Systems, LangChain, LlamaIndex, PyTorch, TensorFlow, MLOps, AWS, GCP, Azure, Sports Data, Sports Tech, London, Hybrid, AI Prototyping, Intelligent Agents, Automation Platforms, Python.
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