1 to 25 of 61 Semantic Kernel Jobs in England

frameworks.Build and deploy agentic AI solutions to automate workflows and enhance business processes.Develop Retrieval Augmented Generation (RAG) solutions using vector databases and semantic search technologies.Design and implement AI orchestration pipelines using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or similar.Integrate AI solutions with … Models and AI services such as OpenAI, Azure OpenAI, Anthropic Claude or equivalent.Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI or similar.Experience developing and deploying cloud-native applications within Azure, AWS or GCP.Strong understanding of APIs, system integration ...

frameworks.Build and deploy agentic AI solutions to automate workflows and enhance business processes.Develop Retrieval Augmented Generation (RAG) solutions using vector databases and semantic search technologies.Design and implement AI orchestration pipelines using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or similar.Integrate AI solutions with … Models and AI services such as OpenAI, Azure OpenAI, Anthropic Claude or equivalent.Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI or similar.Experience developing and deploying cloud-native applications within Azure, AWS or GCP.Strong understanding of APIs, system integration ...

experience with Large Language Models (LLMs), prompt engineering, Retrieval‐Augmented Generation (RAG), vector databases, and AI orchestration frameworks such as LangChain or Semantic Kernel Understanding of model evaluation methodologies Knowledge of responsible AI principles Demonstrable experience leading technical teams Ability to coach and mentor engineers Strong … Principles AI Governance Compliance Requirements Agile Delivery CI/CD Practices Tools & Technologies Microsoft Copilot Azure OpenAI AWS AI Google Vertex AI LangChain Semantic Kernel #J-18808-Ljbffr ...

deploy Generative AI and Agentic AI solutions from prototype to production Implement multi-agent orchestration patterns using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel or OpenAI Agents SDK Develop the orchestration backbone for advanced workflows including planning, checkpointing, retries, fallback handling and resumption of long … capabilities, including prompt design, structured outputs, tool calling and retrieval strategies Hands-on experience with agent orchestration frameworks (LangGraph, AutoGen, CrewAI or Semantic Kernel) Proven experience with RAG implementations, embeddings and vector database integrations Familiarity with stateful or long-running systems, including checkpointing and resumable workflows ...

endpoints, and data residency. Develop and deploy RAG‐based knowledge systems using Azure AI Search, Azure OpenAI Service, and relevant orchestration frameworks (LangChain, Semantic Kernel, or Prompt Flow). Design and implement AI agent architectures for orchestrating multi‐step insurance workflows (e.g. automated claims triage, document … team. Required Skills & Qualifications Python proficiency sufficient to build prototypes, review engineering output, and debug issues independently. Familiarity with orchestration frameworks: LangChain, Semantic Kernel, or Microsoft Prompt Flow. Hands‐on experience with Microsoft Azure AI Foundry Working knowledge of Azure DevOps or GitHub for managing ...

supporting mobile clients for assignee/employee experiences. Experience with prompt engineering patterns, RAG architectures, vector databases, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, Azure AI Services). Familiarity with AI code generation and review workflows, including evaluating and curating AI-generated code for production … supporting mobile clients for assignee/employee experiences. Experience with prompt engineering patterns, RAG architectures, vector databases, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, Azure AI Services). Technical Skills we valueFrontend: Next.js, React, TypeScript, HTML, CSS, SPA architecture, performance and accessibility Backend: C#, ASP.NET ...

related field).Expert-level proficiency in programming languages (R or Python) and experience applying these to agentic AI systems (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, or LangGraph).Exceptional skills in prompt engineering, assessing use cases for agentic feasibility, and converting complex workflows into logical, step … workflows.Preferred:M.S. or Ph.D. in a quantitative discipline.Leadership experience driving technology and investment teams.3+ years developing agentic AI systems (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, or LangGraph).10+ years’ experience with financial modeling, portfolio construction, trading, or investment management workflows.Experience with advanced retrieval-augmented generation ...

MLOps, DevOps and CI/CD practices. AI & Data Hands‐on experience with: Retrieval-Augmented Generation (RAG) AI orchestration frameworks such as LangChain, Semantic Kernel or similar Understanding of model evaluation methodologies. Knowledge of responsible AI principles. Leadership Demonstrable experience leading technical teams. Ability to coach ...

Responsible AI : governance frameworks, guardrails, model safety, compliance, and auditability. Preferred but not required Orchestration frameworks : LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy, Semantic Kernel, Strands. Advanced retrieval : Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases. Agentic patterns : multi-agent architectures, planning and reasoning ...

Azure OpenAI, Anthropic, Gemini, Llama, Mistral, HuggingFace, and emerging AI platforms. Hands-on experience with AI orchestration and agent frameworks including LangChain, LangGraph, Semantic Kernel, LlamaIndex, CrewAI, and AutoGen. Strong knowledge of Prompt Engineering, RAG, Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Azure AI Search), Model Fine ...

statistics, probability, optimization, experimentation, and applied machine learning.Advanced proficiency in Python and modern AI frameworks, including PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems.Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users.Strong understanding of model … intelligent AI assistants.Knowledge of reinforcement learning, fine-tuning, synthetic data generation, model compression, and advanced optimization techniques.Experience with Knowledge Graphs, vector databases, semantic search, retrieval systems, and Graph RAG architectures.Strong understanding of Responsible AI, model governance, AI safety, privacy, regulatory compliance, and risk management frameworks.Experience with DevOps ...

optimization, experimentation, and applied machine learning**.* Advanced proficiency in Python and modern AI frameworks, including **PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems**.* Experience building and scaling **enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users**. … .* Knowledge of **reinforcement learning, fine-tuning, synthetic data generation, model compression, and advanced optimization techniques**.* Experience with **Knowledge Graphs, vector databases, semantic search, retrieval systems, and Graph RAG architectures**.* Strong understanding of **Responsible AI, model governance, AI safety, privacy, regulatory compliance, and risk management frameworks ...

autonomous agent workflows that retrieve, reason over, and act on enterprise data (with guidance on architecture and safety).Semantic Layers & Ontologies - Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently.LLM-Powered Analytics - Prototype LLM-enabled features for summarisation … explain complex technical concepts to non-technical stakeholders.What Would Make You Stand Out:Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel).Exposure to semantic layer technologies (e.g., dbt metrics layer, Cube, AtScale) or knowledge graph tooling.Familiarity with BI platforms (e.g. ...

development techniques and tooling such as advanced prompt engineering, structured outputs, function/tool calling, and orchestration frameworks like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands-on exposure to both API-based (e.g., Claude, GPT, Gemini) and open-source (e.g., Llama, Mistral) LLM-based solution design. • Agentic … commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar tools, along with modern LLM/agent frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen). Experience with cloud AI platforms (e.g., Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI), vector databases ...

event-driven workflows.Ensure production readiness through observability, resilience engineering, and cost optimisation.Agentic AI & OrchestrationOversee development of multi-agent systems using frameworks such as Semantic Kernel and AI Foundry.Implement deterministic orchestration patterns, context management, and memory strategies.Drive innovation in AI workflows including voice AI, real-time inference ...

workflows. Ensure production readiness through observability, resilience engineering, and cost optimisation. Agentic AI & OrchestrationOversee development of multi-agent systems using frameworks such as Semantic Kernel and AI Foundry. Implement deterministic orchestration patterns, context management, and memory strategies. Drive innovation in AI workflows including voice AI, real ...

Agentic AI and ML Integration of commercial and open-source LLMs into agentic workflows Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives Model-level work using PyTorch ...

automation patterns.Develop AI-enabled workflows incorporating orchestration, adaptive behaviour, exception handling, human oversight and safe escalation paths.Design agent orchestration using frameworks such as Semantic Kernel, LangChain or equivalent technologies.Build and optimise Retrieval-Augmented Generation pipelines, grounding agent behaviour in trusted, approved and governed knowledge sources.Engineer prompts ...

genuinely used, rather than pilots. Strong practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen or CrewAI, and with core agent patterns including tool calling, orchestration, memory, multi agent workflows and retrieval augmented ...

experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. #J-18808-Ljbffr ...

earlier architectures such as GANs and VAEs. Experience across text, code, image, and multimodal generation; advanced prompt engineering; orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel). Hands‐on exposure to both API‐based (Claude, GPT, Gemini) and open‐source (Llama, Mistral) LLM‐based solution design. Agentic ...

Experience with LLM integration, RAG, AI orchestration, or Agentic AI frameworks. Exposure to AI platforms such as Azure OpenAI, OpenAI, LangChain, LangGraph, or Semantic Kernel. Candidate Profile Strong engineering and problem-solving skills. Product engineering mindset with a focus on quality and scalability. Comfortable working within existing technical ...

both technical and non-technical stakeholders.Desirable Experience designing and implementing AI agents, copilots and intelligent automation solutions.Knowledge of Azure Functions, Azure AI Search, Semantic Kernel, Microsoft Agent Framework or similar technologies.Experience with data modelling, governance, security and enterprise architecture.Exposure to machine learning, predictive analytics or forecasting ...

Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel).Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems.Automation, Orchestration ...

Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel).Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation ...