2 of 2 Head of AI Jobs in Berkshire

We have partnered with an Events business in their search for a Head of AI Governance to lead on AI initiatives and shape an enterprise-wide AI Policy Framework. You will work with technology, business, and governance teams to ensure AI is used ethically, transparently, and in compliance with regulations. This hands … on role is ideal for a proactive leader with an expertise in AI who thrives in complex environments and can influence senior stakeholders. Key Responsibilities: Lead the AI program, including policies, processes, training, and tools. Act as the internal expert on AI regulations, policies, and technical considerations. Manage AI impact assessments, track risks, and align with … privacy and cybersecurity processes. Maintain a register of AI deployments and monitor governance metrics. Advise leadership on AI policy, regulatory, and operational matters. Develop and deliver training and communications to enhance AI governance maturity. Support Legal & Governance teams in identifying AI use cases and coordinating with technical teams. Monitor global AI policy, regulatory More ❯

to lead and scale our data science organization. In this role, you will drive innovation and execution across core ML pillars such as Search , Recommender Systems , Personalisation , and Generative AI (GenAI) to power the next generation of user experiences. You will be responsible for shaping the strategy, building high-performing teams, and delivering impactful ML-driven features … Science & ML aligned with company goals. Champion a culture of innovation, experimentation, and scientific rigor. Stay on top of industry trends and emerging technologies in AI/ML, particularly in GenAI, Search, RecSys, and Personalisation. Search & Information Retrieval Lead the development and optimization of scalable search systems, including relevance tuning, semantic search, and … learning-based, hybrid models). Drive user-centric personalisation across product surfaces using behavioural, contextual, and real-time data. Ensure systems are explainable, bias-aware, and continuously improving. Generative AI (GenAI) Spearhead the application of GenAI across product areas (e.g., content generation, chat assistants, creative tools). Evaluate and fine-tune large language models (LLMs) or multimodal More ❯