Salary: £60,000 - 100,000 per year Requirements: Strong proficiency in Python for data science, machine learning, and AI development Experience developing and deploying machine learning or deep learning models Knowledge of natural language processing, transformers, or generative AI techniques Solid grounding in statistics, probability, and experimental design Experience working with large datasets using SQL or cloud data platforms Ability to explain complex AI concepts to diverse technical and non-technical stakeholders Experience collaborating within multidisciplinary digital or product teams Clear commitment to ethical, transparent, and responsible AI development Comfort working in fast-moving, evolving, and sometimes ambiguous environments Desirable (but not essential): Experience working with large language models via APIs or open-source frameworks Fine-tuning or evaluating generative AI systems Knowledge of MLOps, monitoring, and lifecycle management Experience with cloud AI/ML services and scalable data platforms Exposure to reinforcement learning, graph machine learning, or advanced deep learning techniques Data visualization or decision-intelligence tooling experience Experience within government, public sector, or other regulated environments Mentoring colleagues or supporting wider AI capability development Responsibilities: Exploring, analyzing, and interpreting large, complex, and diverse datasets to uncover insights and opportunities for AI-driven improvement Designing, building, evaluating, and optimizing machine learning, deep learning, and generative AI models for real-world service applications Collaborating with engineers, product managers, designers, and policy stakeholders to translate user needs into scalable AI solutions Contributing to AI-enabled capabilities such as intelligent automation, natural language understanding, prediction, and decision support Ensuring responsible, ethical, and secure use of AI and data aligned with governance, privacy, and public sector standards Communicating technical findings, model behavior, and limitations clearly to both technical and non-technical audiences Supporting experimentation, evaluation, and continuous improvement of AI systems in production environments Staying current with emerging AI research, tooling, model capabilities, and best practices Technologies: AI Cloud Support Machine Learning Python SQL More: We are a forward-thinking organization located in the Midlands, offering a hybrid or remote working environment. Our team is dedicated to developing an AI-enabled digital product suite aimed at improving how services are delivered across the nation. We provide an excellent salary and benefits, and this role represents a unique opportunity to shape the application of AI within our organization. last updated 7 week of 2026