76 to 84 of 84 LangGraph Jobs in England

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where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi-agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision-language models into agent workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud … Active SC clearance Commercial experience building multi-agent or agentic AI systems in production Strong Python skills and hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure ...

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analytical workloads at scale - LLM/AI features shipped to production users, covering evals, guardrails, prompt versioning, and cost control - LangChain and LangGraph for orchestration - Data modelling for fund mechanics, including cash flows, NAV, performance metrics, and position-level credit data - AWS in production: IAM, S3, RDS, and containerised workloads … Staff Engineer, Principal Engineer, Private Credit, Private Markets, Capital Markets, AI Platform, Analytics Platform, Python, TypeScript, Node.js, React, Next.js, NestJS, FastAPI, PostgreSQL, pgvector, LangChain, LangGraph, LiteLLM, AWS, LLM, Fintech, Greenfield, Remote, Hybrid/Remote, Contract ...

language Develop and integrate solutions using Azure OpenAI Services, including prompt engineering, embeddings, and fine-tuning strategies Implement orchestration pipelines using Semantic Kernel and LangGraph for multi-agent workflows Integrate tools, APIs, and enterprise systems using MCP (Model Context Protocol) or similar frameworks Design memory, state management, and context-aware … Implement complex orchestration workflows Build scalable AI microservices Define AI governance patterns Troubleshoot production AI solutions Technologies Azure OpenAI Azure AI Foundry Semantic Kernel LangGraph MCP Azure AI Search Event-driven architectures ...

responsible for Defining engineering standards for enterprise AI Driving adoption of Agentic AI across multiple engineering teams Designing production-grade RAG architectures Establishing LangGraph and LangChain implementation patterns Designing scalable vector database retrieval strategies Leading best practice across MLOps, CI/CD and model deployment Improving AI testing, evaluation … guardrails and hallucination mitigation Influencing senior engineering stakeholders without direct line management We're looking for someone with deep experience in: Python AWS LangChain LangGraph Retrieval Augmented Generation (RAG) Vector databases MLOps Production Machine Learning platforms AI governance and engineering best practice PyTorch, TensorFlow or Scikit-learn More important than ...

mobile & fixed telecommunications environments, network programmability, APIs, scalable AI architectures, and token-efficient agentic systems using modern AI frameworks (Google Vertex AI or similar, LangGraph, LangChain). Your Profile Required Experience Experience in telecom/mobile network architecture including hands-on experience developing and deploying autonomous network use cases Network … Practitioner certification (or equivalent) Or equivalent advanced TMForum training in DigitalOps and Autonomous Networks Nice-to-Have Qualifications Experience with Generative AI frameworks (LangChain, LangGraph, LlamaIndex, AutoGen) Exposure to Google Vertex AI or similar cloud solutions, Gemini APIs, BigQuery or similar platforms Knowledge of network telemetry optimization (gRPC telemetry, streaming ...

agentic workflows, evaluation frameworks, and LLM optimisation. Key Responsibilities: Design and develop scalable RAG pipelines and generative AI workflows Build solutions using LangChain, LangGraph, and LlamaIndex Implement retrieval strategies including reranking, chunking, and retrieval fusion Develop agentic workflows with a focus on robustness and maintainability Contribute to experimentation, evaluation … Python engineering experience Commercial experience building production-grade AI/ML systems Hands-on experience with RAG architectures and LLM workflows Experience with LangChain, LangGraph, and/or Llama Index Understanding of evaluation methodologies for generative AI Experience working within scalable cloud environments (AWS preferred) Ability to operate ...

ability to write production-quality code Commercial or substantial project experience working with Large Language Models Experience with LangChain and/or LangGraph Familiarity with machine learning frameworks, model deployment, and inference technologies Experience using Python data and matrix manipulation libraries such as NumPy and pandas This company highly values … integrate new machine learning models into advanced commercial software products Work with Large Language Models and modern AI orchestration frameworks, including LangChain and LangGraph Collaborate with Software Engineers, Machine Learning specialists and Security Researchers Take projects from rapid prototyping and experimentation through to production implementation Optimise machine learning models ...

Head of Artificial Intelligence (Gen-AI) | Manchester | £(Apply online only)k + Car Allowance + Bonus Scheme This is a once-in-a-career opportunity for an exceptional technical leader to take ownership of the ...

Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering ...

this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers … widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power ...