Salary: £61,000 - 101,000 per year Requirements: Strong experience developing and deploying machine learning and generative AI solutions in production environments. Strong Python engineering skills with experience using frameworks such as PyTorch, TensorFlow, LangChain, or similar. Experience working with LLMs, prompt engineering, vector databases, and retrieval augmented generation (RAG) architectures. Strong knowledge of cloud platforms including AWS or Azure. Experience with data engineering and orchestration tools such as Databricks, Airflow, Docker, and Kubernetes is desirable. Previous experience working within a small to medium-sized business (SME), start-up, or scale-up environment. Comfort operating in fast-paced, evolving businesses with changing priorities and hands-on delivery expectations. Strong understanding of APIs, microservices, and scalable backend systems. Excellent problem-solving and analytical skills with strong attention to detail. Strong communication and stakeholder management skills, with the ability to work effectively in cross-functional teams. Previous experience within media, sports, broadcasting, or digital content environments would be advantageous. Responsibilities: Design, develop, and deploy scalable AI and machine learning solutions across our digital sports media platforms. Collaborate with product, data, and engineering teams to deliver AI-driven features and audience engagement tools. Build and optimise LLM-powered applications, recommendation systems, and intelligent content workflows. Develop and maintain robust data pipelines and model deployment infrastructure. Implement monitoring, evaluation, and governance processes for AI systems to ensure reliability and performance. Work with structured and unstructured datasets including video, social, audience, and editorial content. Optimise AI models and inference pipelines for scalability, latency, and cost efficiency. Troubleshoot and resolve issues across AI systems, APIs, and production environments. Keep abreast of emerging AI technologies, industry trends, and best practices within sports media and entertainment. Technologies: AI Airflow AWS Azure Backend Cloud Databricks Docker Kubernetes LLM Machine Learning PyTorch Python TensorFlow microservices LESS More: We are a leading sports media organisation with offices in London, offering a 6-month contract AI Engineer opportunity with an ASAP start. This is an outside IR35 role with hybrid working. We operate in a fast-paced, collaborative, and technology-driven culture, and we welcome candidates with equivalent qualifications and experience. last updated 24 week of 2026