6 of 6 Permanent Azure Cognitive Search Jobs in England

impactful projects across various industries, helping clients achieve strategic goals through data and AI. Responsibilities Create and customize machine learning models, primarily using Azure AI services, for use cases like NLP, computer vision, speech recognition, and anomaly detection. Integrate Azure AI services with other … Azure tools such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Search. Handle data ingestion, processing, and storage for AI and analytics applications. Design and develop AI agents for creating intelligent autonomous systems. Optimize performance … scalability, and reliability of ML solutions using best practices. Monitor and troubleshoot solutions with Azure AI Metrics Advisor, Azure Application Insights, and Azure Monitor. Engage with stakeholders to understand needs and provide data-driven insights. Stay updated with emerging AI and 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 ❯

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 ❯

bonus. Excellent written and verbal communication skills. Experience with middleware technologies. Experience with Test Driven Development practices. Agile environment experience. ASP.NET, Web API. Azure Services (Redis Cache, Azure Search, Logic Apps, CosmosDB, ServiceBus, AAD & Graph API, and Application Insights). T More ❯

.NET Framework to .NET 6+ and service-based architecture * Supporting apprentices and contributing to a strong team culture * Integrating with platforms like Adobe, Azure, and ElasticSearch * Working with a mix of on-prem and cloud infrastructure Tech Snapshot: * C#, .NET (Framework and Core) * Azure (Virtual Desktops, Event Grid, Cosmos DB, Azure Search) * SQL Server, ElasticSearch * InDesign Server, JavaScript, HTML * React (aspirational) What They’re Looking For: * 1-5 years of commercial experience in .NET development * A full-stack mindset, though stronger backend skills are fine More ❯