11 of 11 Remote/Hybrid Semantic Kernel Jobs in the UK excluding London

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. ...

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 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 ...

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 ...