5 of 5 Remote 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 ❯

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 ❯

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 ❯