21 of 21 Semantic Kernel Jobs in the UK excluding London

hands-on delivery of with Microsoft-first AI platforms and services such as Azure OpenAI, Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns. 7+ years strong hands-on experience with Azure-based data platforms, including Azure Data … across distributed teams and external suppliers in enterprise delivery environments. Also Good to Have Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns. Experience with Microsoft Fabric, Power Platform governance, Azure DevOps, GitHub Enterprise ...

async programming, typing, testing and performance optimisation. Proven delivery of Generative AI and RAG solutions into production. Hands‐on experience with Pydantic, LangGraph, Semantic Kernel/Microsoft Agent Framework or similar. Strong understanding of LLM integration, structured outputs, tool calling, prompt/model management and fallback … across application, retrieval, model, concurrency and performance issues. Desirable Azure OpenAI/Azure AI Search/Azure AI Foundry Pydantic AI, LangGraph or Semantic Kernel RAG/LLM evaluation and retrieval-quality metrics Kubernetes, telemetry and load testing Knowledge graphs, temporal retrieval or document linkage ...

Lead the design, build, and operation of enterprise AI solutions on a Microsoft-first stack, including Azure OpenAI, Azure AI Foundry, Copilot Studio, Semantic Kernel, and Azure services. • Remain highly hands-on: review architecture and code, build proofs of concept, troubleshoot complex issues, and guide implementation … Clear communication and strong collaboration in cross-functional, global delivery environments. Core Technology Stack AI platforms : Azure OpenAI, Azure AI Foundry, Copilot Studio, Semantic Kernel, Prompt Flow Azure engineering : Azure Functions, App Services, AKS, API Management, Logic Apps, Event Grid, Service Bus Engineering and SDLC: Azure ...

Lead the design, build, and operation of enterprise AI solutions on a Microsoft-first stack, including Azure OpenAI, Azure AI Foundry, Copilot Studio, Semantic Kernel, and Azure services. • Remain highly hands-on: review architecture and code, build proofs of concept, troubleshoot complex issues, and guide implementation … Clear communication and strong collaboration in cross-functional, global delivery environments. Core Technology Stack AI platforms : Azure OpenAI, Azure AI Foundry, Copilot Studio, Semantic Kernel, Prompt Flow Azure engineering : Azure Functions, App Services, AKS, API Management, Logic Apps, Event Grid, Service Bus Engineering and SDLC: Azure ...

Software Engineering, Mathematics, Physics, Engineering or a related discipline. * STEM degree highly desirable. * Equivalent industry experience will also be considered. Highly Desirable * LangGraph, Semantic Kernel, CrewAI, AutoGen, OpenAI Agents or Microsoft Copilot Studio. * AI agent and multi-agent solution delivery. * Model Context Protocol (MCP). … Delivery | Artificial Intelligence | Machine Learning | Multi-Agent Systems | AI Engineering | Software Engineering Leadership | Head of Software Engineering | Director of Engineering | Platform Engineering | LangGraph | Semantic Kernel | CrewAI | AutoGen | OpenAI Agents | Microsoft Copilot Studio | MCP | MLOps | LLMOps | AI Governance | Programme Delivery | Technology Leadership ...

Systems, Agentic AI Architecture, Retrieval Augmented Generation (RAG), LLM Application Design, Prompt Engineering, Responsible AI, and AI Evaluation Frameworks. Experience with LangChain, LangGraph, Semantic Kernel, and AutoGen. Hands-on experience with Azure AI Foundry/Azure OpenAI, AWS Bedrock and SageMaker, Google Vertex AI, and hybrid ...

want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. Build and operate the interface, semantic layer and controls that let AI agents work inside IFS software safely. Key responsibilities Design and build MCP servers (Model Context Protocol, the emerging … compatibility as first-class design problems. Build the write path that lets an agent safely change a customer’s operational data. Build the semantic layer: an ontology and knowledge graph over the product, generated from what the platform already knows about itself and then curated industry by industry. ...

expected to arrive with them, and where you do not have them we will help you develop them.* Breadth across agent orchestration frameworks (Semantic Kernel, LangGraph, AutoGen) so you can make an informed call on which fits a use case rather than defaulting ...

experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. #J-18808-Ljbffr ...

experience with LLM integration, RAG architectures, AIorchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain,LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. #J-18808-Ljbffr ...

Experience with LLM integration, RAG, AI orchestration, or Agentic AI frameworks. Exposure to AI platforms such as Azure OpenAI, OpenAI, LangChain, LangGraph, or Semantic Kernel. Candidate Profile Strong engineering and problem-solving skills. Product engineering mindset with a focus on quality and scalability. Comfortable working within existing technical ...

Python development experience building production AI applications. Proven experience developing Agentic AI, LLM and RAG solutions. Experience with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen or similar. Experience with Microsoft Azure, including Azure AI Foundry, Azure OpenAI Service and Azure AI Search. Understanding ...

machine learning or generative AI technologies Experience working with Azure and cloud-based technologies Knowledge of technologies such as Azure OpenAI, Microsoft Foundry, Semantic Kernel, RAG or vector databases Understanding of AI agents, LLMs and modern AI development approaches Strong software engineering fundamentals, including source control ...

automated environment provisioning. AI Tooling & MCP: Hands-on experience or working knowledge of Model Context Protocol (MCP) architecture, agent orchestration frameworks (e.g., Semantic Kernel, AutoGen, LangChain), and API gateway patterns. Containerization: Experience deploying containerized microservices using Azure Container Apps (ACA) or Azure Kubernetes Service (AKS). ...

/.NET application stack. Integrate Large Language Models (LLMs) and Generative AI into customer-facing products. Build RAG pipelines using vector databases and semantic search. Develop APIs and backend services that support AI functionality at scale. Work closely with Product, Engineering and Data teams to deliver intelligent product … outputs, improve reliability and implement guardrails and monitoring. Tech stack C# .NET 8/9 NET Core Azure Azure OpenAI OpenAI APIs Semantic Kernel Vector Databases SQL Server REST APIs Microservices Docker What we're looking for Strong commercial experience developing backend applications in C# ...

applications Agentic AI, AI agents, intelligent assistants and AI-enabled automation Prompt engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight … learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application development Data & Visualisation – Power BI, Tableau, Looker and other business intelligence tools Consulting, Communication & Leadership: Ability to work ...

culture of continuous learning and innovation. Desirable Skills & Experience Familiarity with Retrieval-Augmented Generation (RAG), tool-calling, and AI orchestration frameworks (e.g., Semantic Kernel, Azure AI Foundry). Understanding of Large Language Models (LLMs) and the trade-offs between latency, capability, cost, and model sizing. Awareness ...

make architectural decisions and communicate technical trade-offs clearly to non-technical stakeholders. Experience with Azure OpenAI, Azure AI Search, RAG, agentic workflows, Semantic Kernel or Microsoft Agent Framework, vector databases, evaluation frameworks and responsible AI controls would be particularly useful. Salary and benefits ...

engineering judgment, and a collaborative working style. Nice to have Experience with multi-agent frameworks or orchestration systems such as LangChain, AutoGen, or Semantic Kernel. Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks ...

engineering judgment, and a collaborative working style. Nice to have Experience with multi-agent frameworks or orchestration systems such as LangChain, AutoGen, or Semantic Kernel. Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks ...

C# background (.NET 8/9, ASP.NET Core). Hands-on with a .NET-native agent framework, such as Microsoft Agent Framework or Semantic Kernel. Experience building agents whose output is code, with a clear focus on validating and verifying correctness. Familiarity with spec-driven development, ideally Spec ...