1 to 25 of 50 Semantic Kernel Jobs in the UK

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 ...

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 ...

Technical Stack & Requirements: AI/ML Stack: Amazon SageMaker, AWS Bedrock. Design Focus: Vector databases, knowledge graphs, and semantic layers. Databricks: Experience with Databricks and Databricks Genie is highly desirable. Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI methodologies into … Financials business logic. Qualifications: 6-8+ years of experience. Strong background in AI/ML design and implementation. Ability to architect semantic layers and knowledge graphs. Experience with GitHub Actions for managing codebases. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data ...

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 ...

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 ...

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 ...

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. Strong understanding of enterprise architecture, scalability, security, and operational excellence. Preferred Skills Experience with Azure OpenAI, OpenAI ...

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 ...

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 ...

Generative AI and Agentic AI solutions from prototyping through productionDevelop and optimize multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, and Semantic KernelImplement orchestration patterns including planner/executor, supervisor/worker, and tool-calling workflowsDesign and build RAG pipelines, including embeddings, chunking, hybrid search … applications in productionDeep understanding of LLM concepts, RAG patterns, prompt design, and evaluation methodologiesExperience with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)Familiarity with orchestration strategies like planner/executor and tool callingKnowledge of MCP, A2A protocols, and OpenAPI-based integration methodsStrong experience with ...

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 ...

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 ...

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 ...

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. ...

LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or similar Generative AI technologies is highly desirable.Familiarity with AI orchestration frameworks (e.g. LangChain, Semantic Kernel, AutoGen, or similar) would be advantageous.Knowledge of Private Markets, alternative assets, portfolio analytics, financial data platforms, Fixed Income, or Multi-Asset ...

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 ...

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 ...

automated environment provisioning. AI Tooling & MCP: Hands‐on experience or working knowledge of Model Context Protocol (MCP) architecture, agent orchestration frameworks (e.g., Semantic Kernel, AutoGen, LangChain), and API gateway patterns. Containerization: Experience deploying containerized microservices using Azure Container Apps (ACA) or Azure Kubernetes Service (AKS). ...

processing, orchestration, APIs, user interfaces, and AI capabilities.Leverage modern AI technologies including Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), semantic search, and cloud-native data platforms.Define solution architectures that combine AI, Data Engineering, Cloud, Security, and Software Engineering best practices.Build reusable accelerators, frameworks … similar.Experience designing and implementing Generative AI solutions, including LLMs, AI agents, and RAG architectures.Familiarity with modern AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent.Experience building and integrating APIs, data pipelines, and scalable cloud-native applications.Strong analytical thinking and problem-solving capabilities.Ability to balance ...

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 ...

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 ...

. 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 ...

Agentic AI solutions Experience with Retrieval-Augmented Generation (RAG) architectures and vector databases Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, AutoGen, or similar Experience designing, evaluating, and optimising prompts for Large Language Models Experience deploying AI solutions into cloud environments, ideally Azure Strong ...

workflows, and model/provider selection.Experience with RAG, embeddings, vector search, AI agents, and agentic workflows.Familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools.Experience integrating AI into enterprise systems, APIs, and business workflows.Experience with at least one major cloud platform: Azure ...