4 of 4 Remote Semantic Kernel Jobs in London

into campaign performance and ROI• Build and deploy AI automations leveraging LLMs and AI agent frameworks: Design and implement solutions using cutting-edge technologies like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, and similar frameworks to automate tasks, enhance decision-making, and improve campaign performance• Stay ahead of the curve on emerging AI technologies: Continuously research and … real-world marketing challenges• Experience building products and automations leveraging Large Language Models (LLMs) and AI agent frameworks• Familiarity and practical experience with tools like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, or similar• Demonstrated ability to identify innovative AI solutions and successfully scale them within an organization• Strong coding skills in Python or similar languages, with More ❯

into campaign performance and ROI• Build and deploy AI automations leveraging LLMs and AI agent frameworks: Design and implement solutions using cutting-edge technologies like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, and similar frameworks to automate tasks, enhance decision-making, and improve campaign performance• Stay ahead of the curve on emerging AI technologies: Continuously research and … real-world marketing challenges• Experience building products and automations leveraging Large Language Models (LLMs) and AI agent frameworks• Familiarity and practical experience with tools like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, or similar• Demonstrated ability to identify innovative AI solutions and successfully scale them within an organization• Strong coding skills in Python or similar languages, with More ❯

practices across the organisation. Skills we would love you to have: Experience in AI/ML engineering or applied machine learning. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong understanding of data … love you to have: Experience in AI/ML engineering or applied machine learning. Proven experience delivering production-grade AI solutions. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong understanding of data More ❯

to deliver real-world results What We’re Looking For • 5+ years' ML experience with strong Python skills • Experience with NLP, LLMs, and prompt engineering • Familiarity with LangChain, Semantic Kernel, or AutoGen • OCR/document layout modelling experience • Cloud-native deployment experience (AWS, Azure, or GCP) • Strong engineering mindset – writing production-grade, scalable code Bonus Points More ❯