7 of 7 Permanent Azure Cognitive Services Jobs in the UK excluding London

ecosystem. You'll work closely with clients, sales teams and technical specialists to design compelling Data & AI architectures that showcase the value of Azure, analytics, and modern data platforms. Key responsibilities: Leading presales engagements across Data & AI, translating business challenges into well-defined Microsoft-led solutions. Designing high … level architectures across Azure Data Services, AI/ML, analytics, and modern data platforms. Supporting bids, proposals, and customer workshops, ensuring solutions are commercially viable and technically robust. Working alongside sales teams to qualify opportunities, shape customer roadmaps, and articulate the value of Microsoft Data & AI. ...

delivery teams and contribute to the development of reusable products and accelerators. Responsibilities Design and architect advanced data and AI platforms across Microsoft Azure and associated technologies Lead the delivery of large-scale data solutions, ensuring quality, performance and alignment to best practice Shape technical strategy and support … capability Engage with C-suite stakeholders to simplify complexity and communicate strategic technical vision Skills and Experience Extensive hands-on experience across Microsoft Azure data and AI services (Azure Data Factory, Synapse, Fabric, Power BI) Proven track record architecting enterprise-scale AI, data ...

Data & AI Architect - Hybrid (London) - Azure - Fabric - Modern Data Architectureup to £110,000 If you're looking for a senior role where you can influence how Data & AI is shaped and delivered within a fast-growing Microsoft partner, this is an opportunity that truly stands out. The organisation … presales capability. Defining architectural direction and guiding programmes from concept to delivery. Microsoft Data & AI Ecosystem The full modern Microsoft data stack: Fabric, Azure Data Factory, Synapse, Azure SQL, Azure Storage and Power BI. Advanced AI technologies including machine learning, generative AI, cognitive ...

evaluate and deploy models in a cloud environment. Experience with AI APIs, pretrained open-source models, and tools like Databricks or Azure Cognitive Services will be a big plus. If you’ve worked on end-to-end Gen AI solutions or have applied ...

evaluate and deploy models in a cloud environment. Experience with AI APIs, pretrained open-source models, and tools like Databricks or Azure Cognitive Services will be a big plus. If you’ve worked on end-to-end Gen AI solutions or have applied ...

strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference. You will craft solutions based on advanced AI technologies from OpenAI … Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS). Cross-Cloud & Vendor Integration : Create ...

line or matrix structures. Familiarity with tools such as Microsoft 365 (SharePoint, Teams, Purview), OpenText, Content Manager (TRIM), Documentum, Confluence, Elastic, or Azure Cognitive Search . Change and adoption experience, including measurement of behavioural impact. Security-aware delivery in regulated or classified environments. Active SC clearance ...