AI Engineer

Robert Half Technology are assisting a growing sports media organisation to recruit an AI Engineer on a contract basis. Hybrid working - London based (3 days per week onsite). Role* The AI Engineer will work closely with senior stakeholders across the business to identify, design, and deliver AI solutions that drive operational efficiency, audience engagement, and commercial value. * Partner with business leaders, product teams, and technical stakeholders to understand requirements and translate opportunities into practical AI use cases. * Design, develop, and deploy Generative AI applications, including AI assistants, intelligent search solutions, content automation tools, and Retrieval-Augmented Generation (RAG) platforms. * Build and maintain scalable AI workflows and integrations across internal systems, APIs, and cloud environments. * Develop proof-of-concepts and rapidly iterate solutions, balancing innovation with business priorities and timelines. * Implement prompt engineering, model evaluation, testing, and monitoring frameworks to ensure reliable and high-quality outputs. * Work with structured and unstructured datasets to support AI and machine learning initiatives. * Establish best practices for AI development, deployment, governance, and ongoing optimisation. * Troubleshoot and resolve issues relating to AI applications, data pipelines, and production environments. * Stay up to date with developments in Generative AI and identify opportunities to leverage emerging technologies across the organisation. Profile* The AI Engineer will have proven experience delivering AI and machine learning solutions within small-to-medium-sized enterprises (SMEs), start-ups, or scale-up businesses. * Strong experience working directly with business stakeholders, gathering requirements, prioritising initiatives, and delivering measurable business outcomes. * Proven commercial experience developing and deploying Generative AI solutions using Large Language Models (LLMs) such as OpenAI, Anthropic, Gemini, or similar technologies. * Strong Python development experience with knowledge of frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent. * Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, vector databases, and enterprise search capabilities. * Experience integrating AI solutions into existing business systems and workflows. * Strong understanding of cloud platforms, preferably Azure, including Azure OpenAI and Azure AI Services, or equivalent AWS/GCP technologies. * Comfortable operating in lean environments where individuals are expected to take ownership and wear multiple hats. * Strong problem-solving skills with the ability to balance technical excellence with commercial priorities. * Excellent communication and stakeholder management skills, with the ability to engage effectively with both technical and non-technical audiences. Company* Growing small-to-medium-sized sports media business with offices in London and the United States. * Entrepreneurial and fast-paced organisation investing heavily in AI and emerging technologies to support future growth. * Collaborative environment where the successful candidate will work closely with senior leadership and play a key role in shaping the company's AI capabilities. * Hybrid working model with 3 days per week onsite in the London office. Salary & Benefits* 6-month initial contract. * Outside IR35. * Hybrid working - London (3 days per week onsite). The salary range/rates of pay is dependent upon your experience, qualifications, or training. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: