9 of 9 Semantic Kernel Jobs in the UK excluding London

existing SaaS platforms. Collaborate with product and engineering teams to explore intelligent automation, search, and decision systems. Use and help evolve AI infrastructure within the business (e.g., ML.NET, Semantic Kernel). Build scalable and maintainable code, following best practices and clean architecture. Key Skills Strong experience developing with .NET/C# in production environments. Proven track … ML technologies into software solutions. Experience working with enterprise SaaS applications. Familiarity with integrating AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is a big bonus. Solid understanding of software engineering principles, clean code, and distributed systems. Comfortable working remotely, independently, and asynchronously in a contract role. Strong More ❯

existing SaaS platforms. Collaborate with product and engineering teams to explore intelligent automation, search, and decision systems. Use and help evolve AI infrastructure within the business (e.g., ML.NET, Semantic Kernel). Build scalable and maintainable code, following best practices and clean architecture. Key Skills Strong experience developing with .NET/C# in production environments. Proven track … ML technologies into software solutions. Experience working with enterprise SaaS applications. Familiarity with integrating AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is a big bonus. Solid understanding of software engineering principles, clean code, and distributed systems. Comfortable working remotely, independently, and asynchronously in a contract role. Strong More ❯

existing SaaS platforms. Collaborate with product and engineering teams to explore intelligent automation, search, and decision systems. Use and help evolve AI infrastructure within the business (e.g., ML.NET, Semantic Kernel). Build scalable and maintainable code, following best practices and clean architecture. Key Skills Strong experience developing with .NET/C# in production environments. Proven track … ML technologies into software solutions. Experience working with enterprise SaaS applications. Familiarity with integrating AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is a big bonus. Solid understanding of software engineering principles, clean code, and distributed systems. Comfortable working remotely, independently, and asynchronously in a contract role. Strong More ❯

and Azure AI Foundry. Strong experience with Azure and generative AI R&D. Practical knowledge of GenAI techniques including prompt orchestration, retrieval methods, and agentic frameworks (e.g., LangGraph, Semantic Kernel Agents). Ability to write production-ready code and apply robust quality control. Familiarity with software engineering best practices including version control, testing, and deployment. Desirable More ❯

integrated with GenAI services and enterprise data. Build and manage custom connectors to internal APIs and third-party services. Agentic Workflow Orchestration Architect multi-step agent workflows using: - Semantic Kernel SDK (C# or Python) - Azure OpenAI (GPT-4, function calling, chat completion) - Planner and Kernel Memory APIs for reasoning and memory - RAG pipelines grounded … Looking For Technical Skills & Technologies: Strong experience with Power Platform, including Copilot Studio, Power Automate, Power Apps, and custom connectors. Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel. Solid programming skills in Python and/or C#. Familiarity with LangChain, AutoGen, or similar orchestration frameworks. Experience with Azure AI Search, Form Recognizer, and Language Services. Knowledge More ❯

Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic frameworks (LangGraph, Semantic Kernel Agents) Familiarity with software engineering best practices: version control, testing, deployment Ability to collaborate with AI engineers and translate prototypes into scalable solutions Desirable Skills: Experience More ❯

Embed security best practices around authentication, authorization, and data privacy. Participate in design reviews , code reviews , and architecture discussions . Use AI orchestration tools like AI Foundry or Semantic Kernel. Apply prompt engineering and leverage tools like GitHub Copilot for development. Ensure responsible AI practices aligned with NIST AI RMF , EU AI Act , and other ethical standards. Mentor More ❯

science, or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML libraries (e.g. Semantic Kernel, Langchain and Agentic frameworks). Experience deploying models into production using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong More ❯

Strategic Thinking & Problem Solving Desirable: Excellent cross-cultural communication and leadership skills for distributed teams Ability to manage up effectively with senior leadership Experience with ML.NET, ONNX Runtime, Semantic Kernel, and/or RavenDB AI capabilities. Exposure to managing geographically dispersed teams across multiple time zones Prior success in leading organizational transformation initiatives Key duties: Build More ❯