1 to 25 of 27 LangGraph Jobs in the UK excluding London

Supporting deployment, governance, monitoring and operationalisation of AI solutions Technology Environment • Python, SQL • LLMs, GenAI, Prompt Engineering, Fine-Tuning • RAG, Vector Databases, Embeddings • LangChain, LangGraph, Agent Frameworks • FastAPI, APIs, Microservices • AWS, Azure, GCP, Databricks • CI/CD, MLOps, LLMOps We're looking for • Strong software engineering, platform engineering or data ...

experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks ...

platforms (AWS, GCP, Azure) and tooling (Docker, Kubernetes, Terraform, Helm).* Familiarity with frameworks such as **Spring (AI/Boot/Core), Flask, LangChain, LangGraph, ADK**, MLFlow, and orchestrators like **N8N**.* Experience with **React** and modern UI frameworks (Gradio, Streamlit).* Understanding of **REST/WebSocket APIs**, CI/ ...

engineering, data, DevOps and business teams Advising clients on AI platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise ...

engineering, data, DevOps and business teams Advising clients on AI platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise ...

Collaborating across engineering, architecture and business teams Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience ...

Collaborating across engineering, architecture and business teams Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience ...

from initial exploration through to production deployment, integration and ongoing iteration. Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems. Integrating AI into products, APIs and core business workflows - with a sharp eye on latency, cost and real-world ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

learning, or causal inference Experience with AI governance, model risk management, and regulatory compliance Experience using Pro code and Low code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load ...

skills Agentic AI & LLMs: Production experience deploying large language models and agent-based workflows, not just notebooks Agent orchestration frameworks: Hands-on experience with LangGraph, LangChain, LlamaIndex, or CrewAI building multi-step agentic systems RAG & knowledge systems: Practical experience designing and building retrieval-augmented generation pipelines AI evals and observability ...

represent the lab's technical direction in governance forums. Beneficial Skills: Experience with Vertex AI or other model lifecycle tooling. Familiarity with LangChain/LangGraph and AI workflow orchestration. Experience in multi-cloud environments and understanding of enterprise integration. Working Pattern: Enjoy a hybrid work style-spend at least ...

implementing RAG architectures, vector databases, knowledge graphs, and prompt engineering techniques Experience building multi-step LLM workflows and agentic systems, whether via frameworks (e.g. LangGraph, Strands, Agent SDKs) or custom implementations Strong Python proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, or Azure) Solid ...

/Flask) JavaScript, REST APIs & SQL Server AI & LLM applications RAG pipelines & agentic AI workflows Locally hosted open-source LLMs Microsoft Power Platform LangChain, LangGraph, Semantic Kernel & Copilot Studio exposure Why this role stands out: Real AI engineering projects - not just "AI strategy" Opportunity to work with cutting-edge agentic ...

Strong commercial experience as a full stack or backend focused engineer Hands on experience building agentic AI systems using frameworks such as LangChain or LangGraph Experience shipping AI powered features into production environments Solid understanding of cloud infrastructure, ideally AWS and services such as Bedrock or serverless tooling Experience with ...

made architecture decisions at meaningful scale, so has a profile that evidence of that kind of decision making. AI as core leverage - LangChain, LangGraph, MCP, Claude Code, spec-driven development, prompt versioning at production etc., rather than just using AI as a productivity tool. What’s on Offer Opportunity ...

/test/prod). Define reference architectures for Amazon Bedrock, model orchestration, RAG, tool/function calling, and agentic workflows (e.g., LangChain/LangGraph/CrewAI/Strands-style patterns) with clear guardrails. Design enterprise-grade knowledge architectures: ingestion pipelines, chunking strategies, embedding/model choices, vector stores, metadata ...

tuning, RAG, evaluation, synthetic data generation), agentic AI, big data technologies, or digital twins Familiarity with emerging research and tooling ecosystems such as LangChain, LangGraph, SmolAgents, or similar frameworks Experience with large‐scale or distributed training frameworks and ecosystems (e.g., HuggingFace, Megatron‐LM, OpenCode) Your role will be based ...

Anthropic, AWS Bedrock models) Build and deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar Create effective prompt engineering strategies with appropriate guardrails for production systems Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications Build …/ML libraries Practical experience using at least one LLM API Solid understanding of prompt engineering, RAG architectures and vector databases Experience with LangChain, LangGraph, LlamaIndex or similar frameworks Familiarity with Git and CI/CD workflows Bachelors degree in Computer Science, Engineering or a related discipline (2.1 or above ...

Applied AI Software Engineer - LangChain, LangGraph, RAG, Knowledge Graphs A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Software Engineer to lead the design and development … Engineer/Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph/LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j/RDF/graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI ...

Lead Machine Learning Engineer UK - Remote - 12-month FTC The Company They are a long-standing professional services organisation operating at national scale, supporting over a million clients across a wide range of specialist services. ...

proven experience building production‐grade AI agents, leading mixed internal and partner teams, and shaping a multi‐vendor agent ecosystem across OpenAI, Anthropic, Azure, LangGraph, AutoGen and emerging frameworks. Responsibilities Technical Ownership Define the agentic architecture strategy, including orchestration patterns, tool integration, memory and runtime governance. Drive reusable agent component … creation and adoption across all operating companies. Make architecture decisions on model selection, GraphRAG, RAG optimisation, LangGraph patterns and cost modelling. Engineering Leadership Lead and mentor a small multidisciplinary technical team building enterprise‐grade AI agents integrated with complex airline systems. Establish best practices for OpenAI, Anthropic, Azure OpenAI, LangGraph ...