8 of 8 Contract Azure Cognitive Search Jobs in the UK

Role Overview Role/Job title: Azure AI Architect Work Location: London, Tunbridge wells, Ipswich, Bolton Role type - Permanent/Fixed Term/Contracting: Contracting Mode of working Hybrid/office based: Hybrid If Hybrid, how many days are required in office?: 3 days The Role … Azure AI Architect, you will lead the end to end architecture, design, and delivery of enterprise AI solutions built on Azure AI Foundry, Azure OpenAI, Azure AI Document Intelligence design and deploy. You should have hands-on experience ...

design and implementation of innovative, production-ready solutions. You will architect, design and deliver AI systems leveraging Microsoft Azure Cognitive Services, focusing initially on: AI-powered Document Intelligence Multilingual speech transcription and translation Cognitive search across structured and unstructured contentYou … What you'll need to succeed Essential technical expertise: Strong experience designing and delivering AI/ML solutions using Azure Cognitive Services Hands-on development skills in Python, C#/.NET, and React Deep knowledge of RESTful APIs, Azure AI orchestration, Cognitive ...

Your responsibilities: Define target-state Azure AI reference architectures leveraging Azure AI Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking … grounding, citation policies) using Azure Search or vector-enabled data stores. Create architectural decision records (ADRs), guardrails, and reusable blueprints for solution teams. Lead end-to-end solution designs including API contracts, integration patterns (Azure Functions, Logic Apps, Event-driven), security ...

Role Overview Role/Job title: Azure AI Engineer Work Location: London, Tunbridge wells, Ipswich, Bolton Mode of working Hybrid/office based: Hybrid If Hybrid, how many days are required in office?: 3 days The Role In this role, the candidate will join a cutting-edge … engineering team focused on designing and implementing enterprise-grade AI solutions using Azure AI Doc Intelligence, Azure OpenAI, and Azure AI Foundry. The position offers the opportunity to work with best-in-class Microsoft AI technologies to build intelligent automation capabilities ...

implement solutions using Azure AI Services, including: Document Intelligence Speech (speech-to-text, text-to-speech, speaker ID) Translator Cognitive Search Lead technical Proof-of-Concepts across: Multilingual speech transcription and translation Intelligent document parsing and metadata extraction Cognitive search … public-sector environment Essential Skills Strong experience shaping and delivering AI architecture at enterprise level Proven experience with Azure Cognitive Services Hands-on technical skills in: Python (Azure SDKs, data workflows) C#/.NET (system integration) React (PoC and demo interfaces) Strong ...

implemented, and integrated in alignment with business and technology objectives. Proven track record designing AI/ML solutions with Azure Cognitive Services Strong hands-on experience in: Python (data workflows, Azure SDKs) C#/.NET (integration with enterprise systems) React (frontend …/demo apps) Deep understanding of: RESTful API design & consumption Azure AI service orchestration & pipelines Cognitive Search (keyword, semantic & hybrid modes) OCR, key-value pair extraction, and document layout analysis Experience building or deploying: Speech transcription pipelines Document intelligence models Multilingual translation ...

Your responsibilities: Define target-state Azure AI reference architectures leveraging Azure AI Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking … grounding, citation policies) using Azure Search or vector-enabled data stores click apply for full job details ...

Responsibilities Architecture & Governance: Lead the design and deployment of on-premises, hybrid, and cloud-native AI solutions. GenAI Implementation: Hands-on deployment of Azure OpenAI, Vector Databases, and RAG patterns. Data Engineering: Oversee large-scale data processing using Python and PySpark to support AI model fine-tuning. … Management: Gain consensus on complex technical roadmaps with diverse client groups. Technical Skills & Experience Core AI: Azure OpenAI, Prompt Engineering, Cognitive Search, Form Recognizer. Data/Coding: Expert-level Python, PySpark, and Vector DB integration. Ops: Practical knowledge of MLOps and LLMOps ...