26 to 33 of 33 Semantic Kernel Jobs in London

government or regulated sectorsExperience managing end-to-end AI delivery projects with elements including data pipelines, prompt engineering oversight, agent orchestration (e.g. LangChain, Semantic Kernel, Azure AI Agents) and integration with enterprise systems. Experience with change management and organisational readiness for AI adoption. AptitudeTechnical Translation: Ability ...

government or regulated sectorsExperience managing end-to-end AI delivery projects with elements including data pipelines, prompt engineering oversight, agent orchestration (e.g. LangChain, Semantic Kernel, Azure AI Agents) and integration with enterprise systems.Experience with change management and organisational readiness for AI adoption. Aptitude Technical Translation: Ability ...

Technology Vision: Stay current with the rapidly evolving AI landscape, including new foundation models, open‐source frameworks, vector databases, orchestration tools (e.g., LangChain, Semantic Kernel), and evaluation methodologies. Bring new ideas to the team and lead proof‐of‐concept development to assess feasibility and value. Deputising ...

priorities.Technology Vision: Stay current with the rapidly evolving AI landscape, including new foundation models, open-source frameworks, vector databases, orchestration tools (e.g., LangChain, Semantic Kernel), and evaluation methodologies. Bring new ideas to the team and lead proof-of-concept development to assess feasibility and value.Deputising: Represent ...

shipped to real users, and you can explain what broke and what you changed. Hands-on with an agent framework (LangGraph, LlamaIndex, Semantic Kernel, ADK or similar) and RAG in production: embedding models, vector stores, re-ranking, and knowing when a live query beats retrieval. Strong ...

architecture or AI engineering, ideally 10+, with a track record of production deployments. Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration. Strong cloud engineering experience. Proven MLOps/LLMOps capability — CI/CD for models, monitoring, evaluation, and cost ...

Agentic solutions, with a strong focus on Generative AI in production environments Deep understanding of AI/ML frameworks (e.g., Langchain, Semantic Kernel/Agents Framework, TensorFlow, PyTorch, Hugging Face with a preference for Agentic frameworks) and model lifecycle management Hands‐on experience with cloud platforms ...

teamsTranslate requirements into agent workflows and platform capabilitiesProvide thought leadership on agentic AI adoptionRequired SkillsLLM IntegrationRAG ArchitectureTool/Function CallingCypherPreferred SkillsAgent frameworks (LangChain, Semantic Kernel, AutoGen)Knowledge graph integration (Neo4j or similar)API design and microservicesAI evaluation, observability, and safety frameworksSummaryThis role is critical in building ...