🚀 AI Engineer – Banking | London | Hybrid 3 Days Salary: Competitive | Travel: Limited UK travel as needed Join a forward-thinking bank scaling AI adoption to boost productivity and innovation. Be part of an established team focused on automation, process optimisation, and GenAI. 🔍 Role Highlights: Design & deploy AI language models, agents, and solutions using Azure ML, OpenAI, Python, and AutoML Drive prompt engineering and support MS Copilot adoption Help shape AI governance, risk assessments, and compliance frameworks Collaborate with Security, Data Protection, and Cloud Engineering teams Stay at the forefront of AI advancements in a highly regulated environment ✅ Must-Haves: Strong Python, Jupyter, API development, and LLM experience Solid grasp of Azure AI services and AI agent design Strong communication & cross-functional collaboration skills 🌟 Nice-to-Haves: RPA exposure, GitLab, Terraform Understanding of performance monitoring, DLP, and AWS 🔄 Your Input: Will this lean more into Azure-native tooling (Azure ML, OpenAI, Purview)? Is there room to influence model governance, interpretability, DLP? How deeply does the role engage with architecture vs. risk? Any colour on team structure and onsite expectations? Based on focus, would AI Lead be a better fit than Senior AI Engineer? A great opportunity to help shape the future of AI in banking.