1 to 25 of 26 Remote/Hybrid LangChain Jobs in the North of England

real-world impact highly desirable.Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI is preferred.Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases ...

tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK* Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar.* Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging ...

commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure, and RAG pipeline construction LLM orchestration and agentic frameworks (e.g. LangChain/LlamaIndex‐style tooling, multi‐agent patterns) Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) LLMOps/MLOps — model versioning, deployment ...

tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar. Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging ...

engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration.Proficiency in ML/NLP and generative models; experience with embeddings, vector stores ...

commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) - LLMOps/MLOps - model versioning, deployment ...

equivalent* **Frontend Development**: Experience in building React applications using TypeScript, leveraging frameworks such as **Next.js** or **Vite**.* **GenAI Frameworks**: Familiarity with tools like **LangChain**, **LangGraph**, **CrewAI**, or **Vercel AI** (in Python or JavaScript).* **LLM experience**: Practical experience with **Large Language Models** (LLMs) such as **OpenAI**, **Anthropic**, **Mistral ...

equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama ...

/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector DBs & RAG: Designed solutions using vector DBs & Retrieval ...

using REST APIs. Proven prompt engineering experience. Experience deploying AI solutions into production environments. Excellent stakeholder management and communication skills. Desirable Experience Knowledge Graphs. LangChain and/or LangGraph. Vector Databases and Embeddings. Multi-Agent Systems. Azure, AWS or GCP cloud platforms. Preferred Background We're particularly interested in candidates ...

using REST APIs. Proven prompt engineering experience. Experience deploying AI solutions into production environments. Excellent stakeholder management and communication skills. Desirable Experience Knowledge Graphs. LangChain and/or LangGraph. Vector Databases and Embeddings. Multi-Agent Systems. Azure, AWS or GCP cloud platforms. Preferred Background We're particularly interested in candidates ...

highly beneficial: Machine Learning and AI Engineering Generative AI and Large Language Models Prompt engineering and context engineering scikit-learn, PyTorch or TensorFlow LangChain or similar AI frameworks Cloud data platforms and services across AWS, Azure or GCP Data warehouses and modern data platforms Big data and distributed processing technologies ...

experience with popular AI/ML libraries such as TensorFlow, PyTorch, scikit-learn. Familiarity with Generative AI and/or machine learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure ...

quality tools. AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ABOUT WORKING HERE We’re a fantastic team of bright, ambitious people who love ...

embeddings AI workflow automation Python, C# and/or TypeScript APIs and system integration SQL/databases Cloud platforms, particularly Azure Frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or similar Most importantly, you will be someone who understands how to turn AI capabilities into robust, commercially useful software. ...

stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) LLM evaluation, guardrails, and red-teaming tooling (hallucination detection, safety/bias testing) LLMOps/MLOps: model versioning ...

using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI etc.)Experience building LLM or foundation-model applications using frameworks such as LangChain, vector databases or agentic AI approachesExperience with MLOps and Infrastructure as Code (Terraform, CloudFormation etc.) for data, analytics and AI servicesExperience with data reporting ...

building data pipelines and working with structured and unstructured data.Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable. Experience with cloud data platforms, data warehouses, or big data technologies is an advantage. Strong analytical and problem-solving skills, with attention ...

software engineer who picked up AI in recent years Real, practical exposure to LLMs/agentic AI - RAG, embeddings, model context, agent frameworks (LangChain, Microsoft Agent Framework, or similar) The judgement to know when AI is the right tool and when it isn’t - this matters more here than almost ...

standards, accessibility, and development best practice## **Bonus:*** Building microservices in C#* Experience building solutions that integrate with LLMs using tools such as Vercel AI, Langchain etc.* Using the GOV.UK Design System and using Nunjucks## **WHAT YOU'LL LOVE ABOUT WORKING HERE?**We are delighted to have received the **“Glassdoor Best ...

standards, accessibility, and development best practice## **Bonus:*** Building microservices in C#* Experience building solutions that integrate with LLMs using tools such as Vercel AI, Langchain etc.* Using the GOV.UK Design System and using Nunjucks## **WHAT YOU'LL LOVE ABOUT WORKING HERE?**We are delighted to have received the **“Glassdoor Best ...

mindset focused on outcomes, value, and sustainable delivery. Strong proficiency in Python and JavaScript/TypeScript Hands-on experience building AI agent systems using LangChain, LangGraph, or equivalent orchestration frameworks. Demonstrated experience implementing RAG architectures in production, including embedding models, vector stores, and retrieval strategies. Proficiency with AI-powered development ...

clients in London, Manchester, or Glasgow. You will design, develop and scale full-stack solutions, collaborating with cross-functional teams and leveraging AI frameworks, LangChain, and cloud platforms. The role offers hybrid working, opportunities to grow in GenAI, and exposure to client-facing engagements. A security clearance or eligibility ...

business. You will lead the AI Ops team from day one, owning delivery, growth, and value realization, and work with Claude, Claude Code, LangChain and other tools to empower internal teams and customer-facing products. You will lead three engineers, shape prioritisation, and build scalable tooling that accelerates financial inclusion ...

scalability and performance. Implement vector/graph database solutions and RAG techniques for information storage and retrieval. Develop agentic reasoning workflows using frameworks like LangChain or LlamaIndex. Lead the full AI lifecycle: data ingestion, embedding, extraction, synthesis, prompt engineering, and workflow orchestration. Deploy, monitor, and maintain models in Docker-based … Postgres for database solutions. Experience with vector and graph databases, and RAG-based architectures. Experience of with agentic frameworks and orchestration frameworks such as LangChain or LlamaIndex. Solid understanding of LLMs, embeddings, and prompt engineering. Highly Desirable: Experience designing multi-agent systems or autonomous workflows. Hands-on experience with Docker ...