20 of 20 Semantic Kernel Jobs in the UK excluding London

frameworks.Build and deploy agentic AI solutions to automate workflows and enhance business processes.Develop Retrieval Augmented Generation (RAG) solutions using vector databases and semantic search technologies.Design and implement AI orchestration pipelines using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or similar.Integrate AI solutions with … Models and AI services such as OpenAI, Azure OpenAI, Anthropic Claude or equivalent.Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI or similar.Experience developing and deploying cloud-native applications within Azure, AWS or GCP.Strong understanding of APIs, system integration ...

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 ...

microservices. Build AI applications using Python and Azure OpenAI technologies. Develop RAG architectures and integrate vector search solutions. Implement orchestration workflows using Semantic Kernel and LangGraph. Integrate enterprise systems, APIs, and tools using MCP and similar frameworks. Establish AI governance, security, safety, and responsible AI practices. … Proven experience designing and delivering production grade AI and Generative AI solutions. Strong expertise in Azure OpenAI, Azure AI Foundry, Azure AI Search, Semantic Kernel, and LangGraph. Experience building multi agent architectures, RAG solutions, and complex orchestration workflows. Strong Python development skills with experience building scalable ...

advantageous: * Agentic AI * AI Agents & Autonomous Workflows * Generative AI & LLMs * Retrieval Augmented Generation (RAG) * Multi-Agent Systems * MLOps/LLMOps * LangGraph, LangChain, Semantic Kernel, CrewAI or AutoGen * OpenAI Agents, Microsoft Copilot Studio and MCP * Azure, AWS or GCP Education * 2:1 degree or above from … Head of Engineering, Director of Engineering, AI Engineering, Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

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 ...

reliable, secure and compliant operation of LLMs, agentic AI and generative AI services. Select and integrate appropriate AI frameworks and tools (e.g. LangChain, Semantic Kernel, Llama, vector-based search, MCP/Model Context Protocol) into the enterprise architecture. Design and implement RAG (Retrieval-Augmented Generation) architectures … impact. Proven track record of working with cross-functional teams to translate business requirements into technical AI solutions. Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration ...

reliable, secure and compliant operation of LLMs, agentic AI and generative AI services. Select and integrate appropriate AI frameworks and tools (e.g. LangChain, Semantic Kernel, Llama, vector-based search, MCP/Model Context Protocol) into the enterprise architecture. Design and implement RAG (Retrieval-Augmented Generation) architectures … impact. Proven track record of working with cross-functional teams to translate business requirements into technical AI solutions. Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration ...

with the data platform and global business goals.Design the Data-to-AI Interface: Establish how enterprise data is structurally modelled (using star schemas, semantic layers, dimensional modelling, and knowledge ontologies) to ensure autonomous AI agents can search, retrieve, and reason over data reliably without hallucinating.Build AI services: Lead … data and AI portfolio.Architect Financial Efficiency: Design cloud data and AI patterns for optimal consumption efficiency, establishing best practices for token management, semantic caching, and compute cost optimization.Enforce Trust & Security by Design: Partner with Cyber Security and the Data & AI Governance Lead to ensure data privacy, access boundaries ...

with the data platform and global business goals.Design the Data-to-AI Interface: Establish how enterprise data is structurally modelled (using star schemas, semantic layers, dimensional modelling, and knowledge ontologies) to ensure autonomous AI agents can search, retrieve, and reason over data reliably without hallucinating.Build AI services: Lead … data and AI portfolio.Architect Financial Efficiency: Design cloud data and AI patterns for optimal consumption efficiency, establishing best practices for token management, semantic caching, and compute cost optimization.Enforce Trust & Security by Design: Partner with Cyber Security and the Data & AI Governance Lead to ensure data privacy, access boundaries ...

data platform and global business goals. Design the Data-to-AI Interface: Establish how enterprise data is structurally modelled (using star schemas, semantic layers, dimensional modelling, and knowledge ontologies) to ensure autonomous AI agents can search, retrieve, and reason over data reliably without hallucinating. Build AI services: Lead … data and AI portfolio. Architect Financial Efficiency: Design cloud data and AI patterns for optimal consumption efficiency, establishing best practices for token management, semantic caching, and compute cost optimization. Enforce Trust & Security by Design: Partner with Cyber Security and the Data & AI Governance Lead to ensure data privacy ...

with AI, machine learning or generative AI technologiesExperience working with Azure and cloud-based technologiesKnowledge of technologies such as Azure OpenAI, Microsoft Foundry, Semantic Kernel, RAG or vector databasesUnderstanding of AI agents, LLMs and modern AI development approachesStrong software engineering fundamentals, including source control, testing ...

bring experience across: LLMs & Agentic AI: Experience building applications using OpenAI, Anthropic Claude, AWS Bedrock or similar. AI Orchestration: LangGraph, LangChain, Strands Agents, Semantic Kernel, AutoGen or comparable frameworks. Backend Engineering: Strong Python development skills, ideally with FastAPI or similar frameworks. RAG & Knowledge Systems: Vector databases … embeddings, semantic search, document ingestion and retrieval architectures. APIs & Integrations: Experience connecting AI applications to existing enterprise systems, databases and third-party services. Cloud Architecture: AWS, Azure or GCP, with experience designing secure, scalable production environments. Automation & Workflows: Understanding of workflow orchestration, event-driven systems and tools such ...

MLOps tools and deployment practices. Experience using Azure Machine Learning. Exposure to fine-tuning and customising foundation models. Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks. Understanding of data governance, security, and compliance requirements. Experience developing AI solutions within large or regulated organisations. ...

fostering a culture of continuous learning and innovation Desirable Skills & ExperienceFamiliarity 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. ...

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 ...

passion for building solutions that are scalable, secure and production-ready Experience with technologies such as Databricks, MLflow, LangChain, LangGraph, Semantic Kernel or modern AI platforms would be advantageous, but isn't essential. Why Join? Fully remote working Private healthcare and life assurance Ongoing investment ...

Experience working within Financial Services, Insurance or other highly regulated environments would be advantageous. Databricks, MLflow and modern AI platform experience LangChain, LangGraph, Semantic Kernel, AutoGen or similar frameworks Retrieval-Augmented Generation (RAG) architectures Multi-agent orchestration platforms Responsible AI and governance experience Why Join? Join ...

skills, sound engineering judgment, and a collaborative working style.Nice to haveExperience 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 such ...

Requirements Strong hands-on experience building and deploying AI agents, ideally using Microsoft Foundry Agent Service. Experience with agentic AI frameworks such as Semantic Kernel, LangGraph or AutoGen. Strong Python and/or C# development skills, with C# particularly valuable for candidates without direct Foundry experience. ...