3 of 3 Permanent Semantic Kernel Jobs in the Thames Valley

in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers … functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers More ❯

agile methodologies Hands-on experience with Linux, Docker, and containerized deployments Familiarity with data engineering concepts (SQL, ETL, data lakes) Experience with orchestration frameworks like LangChain, LangGraph, or Semantic Kernel Cloud deployment experience (AWS, GCP, Azure) Work on high-impact AI projects that shape the future of telecoms Be part of a forward-thinking, collaborative team More ❯

CD pipelines. Understanding of solution architecture principles – scalability, security, maintainability. Excellent communication skills and the ability to work across teams and domains. Bonus: Experience with Generative AI , LangChain , Semantic Kernel , or Power Platform . Why Join? Work on meaningful projects that span healthcare, environmental, and safety domains. Be part of a team that values innovation, speed More ❯