20 of 20 Azure Cognitive Search Jobs in 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 ❯

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 ❯

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 ❯

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 … API management platforms. AI Knowledge : Familiarity with AI concepts and frameworks, including Large Language Models(LLM), RAG, Prompt Engineering, Azure Cognitive Services and AI Builder. Certifications : Relevant certifications in Microsoft Power Platform and/or Azure/AWS cloud. About Capgemini Capgemini More ❯

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 … API management platforms. AI Knowledge : Familiarity with AI concepts and frameworks, including Large Language Models(LLM), RAG, Prompt Engineering, Azure Cognitive Services and AI Builder. Certifications : Relevant certifications in Microsoft Power Platform and/or Azure/AWS cloud. About Capgemini Capgemini More ❯

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 … API management platforms. AI Knowledge : Familiarity with AI concepts and frameworks, including Large Language Models(LLM), RAG, Prompt Engineering, Azure Cognitive Services and AI Builder. Certifications : Relevant certifications in Microsoft Power Platform and/or Azure/AWS cloud. About Capgemini Capgemini 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 ❯

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 ❯

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 ❯

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 ❯

leveraging modern cloud services, and drive CI/CD & automation practices. The ideal candidate should have strong DevOps and AIOps experience, including deploying Azure infrastructure services following best practices, with a focus on containerisation, analytics, virtual networking, and serverless computing. Key Responsibilities/Accountabilities: Shape technical roadmaps … with cross-functional teams to align with enterprise architecture for Data Science & AI capabilities. Implement and manage secured, scalable, high-performance infrastructure on Azure supporting Data Science and AI tools. Automate infrastructure provisioning, configuration, and deployment, emphasizing CI/CD principles. Enhance CI/CD pipelines to … capabilities. Monitor system performance and implement proactive maintenance. Ensure security and compliance, focusing on vulnerability management and maintenance. Knowledge and Experience: Experience deploying Azure Infrastructure Services per best practices. Proficiency in scripting languages like JSON, Bicep, Yaml, Python, Terraform, Ansible, PowerShell. Understanding containerisation and serverless services (e.g. More ❯

architecture for our Data Science & AI capabilities. Responsible for the implementation and management of secured, highly scalable, performance efficient, modernised infrastructure across our Azure cloud platforms supporting our Data Science and AI toolset. Automate infrastructure provisioning, configuration, and deployment processes, with CI/CD principles a strong … improvements. Ensure Security and Compliance of our infrastructure and Solutions, including a focus on Vulnerability Management & Maintenance. Knowledge and Experience: Strong experience implementing Azure Infrastructure Services in accordance with best practises. Strong experience in automation leveraging scripting languages such as JSON, Bicep, Yaml, Python, Terraform, Ansible and … PowerShell. Proven understanding in Containerisation and Serverless computing services and practices (examples such as Docker, Azure AKS, ACI, AWS EKS and Lambda). Strong networking skills specifically in the use of securing data in the cloud. Experience in the deployment and support of Databricks, Azure 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 ❯

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 ❯

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 ❯

for designing, building, and deploying production-grade Retrieval-Augmented Generation (RAG) pipelines, document processing workflows, and Generative AI services within a cloud-native Azure environment. You will collaborate with multidisciplinary teams to ensure scalable, secure, and compliant AI solutions that enhance business workflows. Key Responsibilities: Develop and … optimize RAG pipelines using frameworks such as LangChain, LlamaIndex, or Haystack. Build data ingestion workflows including OCR, chunking, embedding, and semantic search integration. Integrate vector databases such as FAISS, Pinecone, or Qdrant into AI workflows. Deliver scalable GenAI services aligned with security, compliance, and enterprise standards. Collaborate … architectures. Strong expertise with Azure AI technologies including Azure OpenAI and Azure Cognitive Search. Proficient in Python programming and familiar with CI/CD and MLOps practices (e.g., Git, Azure DevOps). Experience working More ❯

evaluation, natural language processing, classification problems and software development. You should also be versed in agile ways of working, source control and the Azure cloud. In this role you will You'll have the opportunity to work on a mixture of the following: Generative AI Design and … RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal … it would be a plus: Master's or PhD in Computer Science Some experience with MLOps would be very beneficial. Experience with building search applications using Azure Search, Sinequa, Elastic or anything Lucene-based would come in handy but is not More ❯

language processing, classification problems, data engineering, and software development. You should also be versed in agile ways of working, source control and the Azure cloud. In this role you will You'll have the opportunity to work on a mixture of the following: Generative AI Design and … RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. AI/ML: Hands on experience with training and evaluating BERT-like models in real-world applications, especially … with data pipeline development, ETL processes, and working with large datasets Hands on experience with ML tools like TensorFlow, PyTorch etc. Experience with Azure cloud (AKS, Azure AI, ADF, Document Intelligence etc.) Excellent problem-solving skills and software engineering practices Excellent communication skills Preferred More ❯

/Sitecore CMS, WordPress. Knowledge of MS SQL Server, Cloud SaaS, PaaS, IaaS. Expertise in source control (GIT) and CI/CD with Azure DevOps. Experience with CMS search technologies (Lucene, SOLR, Azure Search). Knowledge of Azure More ❯