1 to 25 of 147 Remote/Hybrid LangChain Jobs in the UK

automated evals, experiment tracking, observability, model lifecycle management. 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 ...

skills and the ability to work in client-facing delivery environments. Background in solution design, enterprise architecture, or technical consulting. Desirable Skills Experience with LangChain, LlamaIndex, Azure OpenAI, AI Foundry, GPT-4, Claude, LLaMA, Hugging Face, MLflow, Airflow, KServe, FAISS, Chroma, or similar technologies. Experience designing multi-agent workflows ...

Neural Networks Natural Language Processing (NLP) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Reinforcement Learning Frameworks & Technologies PyTorch TensorFlow Scikit-learn LangChain Hugging Face OpenAI and Azure OpenAI Services Vector Databases Docker Kubernetes Cloud Platforms Microsoft Azure Azure AI Services Azure Machine Learning AWS or Google Cloud ...

best practices, testing, version control, and deployment. Ability to work with technical and non-technical stakeholders. Desirable Skills Experience with OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face, or similar tools. Experience deploying AI models or AI applications into production. Knowledge of MLOps, CI/CD, monitoring, and model evaluation. ...

cost. Integrate AI models into production environments and manage model lifecycle, versioning and observability. Leverage Azure Machine Learning, OpenAI APIs and multi-agentic frameworks (LangChain, AutoGen, CrewAI) to build intelligent, data-driven experiences. Champion the use of modern AI development tooling (Cursor, GitHub Copilot, Claude) across the engineering team. Voice ...

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 ...

hands-on with emerging technologies – exploring what works, what scales, and what’s next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures ...

hands-on with emerging technologies – exploring what works, what scales, and what’s next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures ...

enclaves; GitOps and CI/CD pipelines; and GenAI, LLMs, and agentic frameworks, APIs and SDKs (such as Anthropic, OpenAI, Google Gemini, Jev, LangChain, LangGraph, PydanticAI); agent sandboxes and enclaves; agent harnesses; and agent memory substrates. Education A degree in a STEM subject: an undergraduate degree (must-have), a postgraduate ...

best practices, testing, version control, and deployment. Ability to work with technical and non-technical stakeholders. Desirable Skills Experience with OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face, or similar tools. Experience deploying AI models or AI applications into production. Knowledge of MLOps, CI/CD, monitoring, and model evaluation. ...

best practices, testing, version control, and deployment. Ability to work with technical and non-technical stakeholders. Desirable Skills Experience with OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face, or similar tools. Experience deploying AI models or AI applications into production. Knowledge of MLOps, CI/CD, monitoring, and model evaluation. ...

least 1 year building LLM or ML features used in production Hands-on experience with LLM APIs and frameworks (e.g. OpenAI/Anthropic SDKs, LangChain, LlamaIndex, or similar) Solid understanding of RAG architectures, embeddings, and vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar) Experience building APIs with FastAPI or Django ...

experience developing scalable, modular, and maintainable Python applications Experience developing and deploying well-tested Generative AI applications, using relevant frameworks such as LangGraph/LangChain, Strands SDK, Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning ...

hands‐on with emerging technologies – exploring what works, what scales, and what’s next. Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval‐augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures ...

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 ...

providers Supervised and unsupervised learning Statistical concepts Generative AI Practical experience building: RAG systems AI agents LLM-powered applications Vector search solutions Familiarity with: LangChain Semantic Kernel LangGraph Experience with AWS. Docker and containerization. CI/CD pipelines and DevOps practices. Professional Experience 3+ years in ML engineering or data ...

complex data movement and model training pipelines. Search & Discovery: Advanced ElasticSearch/OpenSearch for semantic search and large-scale indexing. AI Frameworks: Exposure to LangChain, LlamaIndex, or Hugging Face libraries for integrating Large Language Models (LLMs) into production applications. Model Ops (MLOps): Understanding the lifecycle of a model—from deployment ...

complex data movement and model training pipelines. Search & Discovery: Advanced ElasticSearch/OpenSearch for semantic search and large-scale indexing. AI Frameworks: Exposure to LangChain, LlamaIndex, or Hugging Face libraries for integrating Large Language Models (LLMs) into production applications. Model Ops (MLOps): Understanding the lifecycle of a model—from deployment ...

models far beyond basic text generation (e.g., structured extraction, tool calling, cost-aware routing). LLM Stack Mastery: Hands-on experience with agentic orchestration (LangChain/LangGraph) and modern LLM APIs (Claude, Gemini, OpenAI). Engineering Excellence: You write production-ready code for microservices (Java/Dropwizard), with experience ...

teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer ...

enterprise environments is beneficial. Beneficial Experience Hands-on experience with Vertex AI or equivalent model lifecycle tooling. Practical familiarity with orchestration frameworks such as LangChain or LangGraph. Knowledge of multi-cloud architectures (GCP, Azure, AWS) and event-driven architectural patterns. Why Join This Project? This contract offers the opportunity ...

Language Models (LLMs) Retrieval‐Augmented Generation (RAG) Prompt Engineering AI Guardrails AI Evaluation Frameworks Experience with AI frameworks such as Agent Development Kit (ADK), LangChain, LangGraph, CrewAI, or similar. Experience working with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Strong understanding of system reliability, observability, monitoring ...

Context Protocol) servers and tools, exposing complex internal APIs, databases, and systems as structured, consumable tools for AI agents and applications. Implement and integrate LangChain and/or LangGraph based agentic workflows, including multi-step reasoning chains, tool-calling pipelines, and orchestration logic. Develop responsive, high-performance front-end applications ...

environments - not just notebooks and academic experiments. Hands-on proficiency with Large Language Models (LLMs), prompt engineering, and agentic frameworks and orchestration tools (e.g., LangChain, LlamaIndex, AutoGen, or similar). Strong software engineering fundamentals - comfortable working across the stack, from backend services and API integrations to lightweight front ...

ecosystems including OpenAI, Anthropic, Gemini, and related model platforms. Hands‐on experience with RAG architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph, AutoGen, and CrewAI. Proven experience applying Agile delivery, DevOps, MLOps, and LLMOps practices to enterprise AI programmes. Strong cloud architecture experience across Azure ...