101 to 104 of 104 Azure AI Jobs in the North of England

technology and artificial intelligence combined with very human understanding and expertise to revolutionise claims management, data analysis, and customer value. Our exciting AI product: ELI , developed in partnership with The University of Salford and HF, is set to transform insurance claims handling using advanced technology that leverages … product owners to understand requirements and deliver solutions. Participate in code reviews, testing, and continuous improvement initiatives. Contribute to the development of our AI-driven product suite, including ELI. Occasionally engage with clients or internal teams to understand needs and provide technical guidance. What we’re looking ...

layers, Power Automate flows, model interfaces, validation pipelines Develop and optimise RAG components - embeddings, vector queries, metadata strategies for accuracy and reliability Integrate AI agents with enterprise systems via Microsoft Graph, APIs, and Power Platform connectors Implement secure-by-design and responsible AI practices: guardrails, controls … documentation Conduct rapid prototyping to validate feasibility, model behaviour, UX, and performance Enable pro-/low-/no-code teams to adopt AI safely - support the satellite model across business functions Requirements Hands-on experience building solutions with LLMs, AIAPIs, Copilot Studio, or agent frameworks Strong understanding ...

looking for a Solution Designer who is curious about what’s next in AI and knows how to turn that curiosity into real, practical outcomes. In this role, you’ll stay on top of emerging AI trends and technologies, bring that knowledge into our environment … quickly build a strong understanding of our internal AI tool stack. From there, you’ll act as a trusted advisor—guiding teams on which tools to use for specific use cases, especially when it comes to process automation and intelligent solutions. The role is not just about knowing ...

Jobtailor is seeking a senior MLOps leader to implement and evolve production ML/AI platforms on Microsoft Azure. You will coach a compact team of MLOps, Analytics and AI Engineers, and collaborate with Data Science and Software teams to push reliable, auditable models into production. ...