4 of 4 Azure Cognitive Search Jobs in Central London

strategic customers to help them envision, plan and design innovative solutions to connect, communicate and collaborate using Microsoft Copilot Studio, Power Platform, and Azure AI Foundry. Solution Architecture & Design: Architect and design integrated solutions leveraging Microsoft Power Platform (Power Apps, Power Automate, Power Pages, Power BI, Dataverse … Azure AI Foundry, Azure OpenAI, Azure Search, Azure Cognitive Services, Azure Document Intelligence, and other Azure services to develop custom AI solutions. Integration Experience : Experience in integrating … Python, or JavaScript. AI Knowledge : Familiarity with AI concepts and frameworks, including Large Language Models(LLM), RAG, Prompt Engineering, Azure Cognitive Services and AI Builder. DevOps Knowledge Certifications : Relevant certifications in Microsoft Power Platform and/or Azure/AWS cloud. About More ❯

the .NET framework, object-oriented programming, multithreading, C# with exposure of VB.NET, ASP.NET MVC, HTML5, CSS3, ReactJS, Redux, WebPack Expertise in development of Azure cloud based applications using C#, .Net Core Experience with front-end frameworks (ReactJS, etc) Expertise in development of REST based WebAPIs Expertise in … Cloud services including Azure Functions, App Services, Cosmos DB, Azure Blob Storage, Azure Cognitive Search, Azure Computer Vision Understanding of IaaS, PaaS and SaaS models of Azure Cloud Understanding More ❯

i.e, MS Dynamics Customer Engagement) OOB solutions (no code/low code model) Understanding of MS Dynamics Security Architecture Complex implementation involving integration Azure Stack (Azure functions, Azure Search, Azure Service Bus, Azure Logic Apps, Azure Identities) Power platform (power apps, power apps portals, power automate, power BI) Understanding of common data model and common data service Automation of CICD pipelines across different technologies in (essential) Azure DevOps and (nice to have) Jira Please More ❯

workflows, and GenAI services. The strategic direction is set and now it's time to deliver production-ready solutions in a cloud-native Azure environment. Role Overview · Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. · Build ingestion workflows (OCR, chunking, embedding, semantic search … teams (data scientists, architects, engineers) to drive high-performance, enterprise-ready solutions. Key Skills Required · Expertise in LLM pipelines, embedding models, and vector search architecture. · Strong hands-on experience with the Azure AI stack (Azure OpenAI, Azure Search). · Proficient in Python, CI/CD, and MLOps tools (Git, Azure DevOps). · Experience working in regulated environments, ideally within financial services. Nice to Have · Familiarity with PEFT (LoRA, QLoRA), privacy-preserving AI, and secure deployment. · Experience with PromptOps, cloud security, and deploying More ❯