1 to 25 of 382 LangChain Jobs in the UK

Strong articulation, stakeholder management and consulting skills Experience driving productivity and cost optimisationsSkills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain,Langsmith/Langfuse, Gen AI/Agentic AI , Cloud platforms (Azure AI Foundry, AWS Bedrock/Sagemaker, GCP Vertex AI) , MLOps/LLMOps tools (MLflow ...

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.Experience working in Agile/Scrum or pod-based delivery environments.Generative AI & LLMs: OpenAI/Azure OpenAI APIs Prompt Engineering RAG (Retrieval Augmented Generation) LangChain/LangGraph AI Agents Vector Databases (FAISS, ChromaDB, Pinecone anyone they can learn and come) FastAPI-based AI services LLM Evaluation and Testing Nice ...

solutions. Proficient in observability, performance optimization, security, and production reliability. Knowledge of Responsible AI, AI governance, compliance, and model risk management. Experience with LangChain, LangGraph, LlamaIndex, CrewAI, Semantic Kernel, or similar frameworks. Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, or pgVector. Experience implementing observability and monitoring solutions ...

skills.Experience working in Agile/Scrum or pod-based delivery environments.Generative AI & LLMs: OpenAI/Azure OpenAI APIs Prompt Engineering RAG (Retrieval Augmented Generation) LangChain/LangGraph AI Agents Vector Databases (FAISS, ChromaDB, Pinecone anyone they can learn and come) FastAPI-based AI services LLM Evaluation and Testing Nice ...

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 ...

Multi-Agent Systems, Agentic AI Architecture, Retrieval Augmented Generation (RAG), LLM Application Design, Prompt Engineering, Responsible AI, and AI Evaluation Frameworks. Experience with LangChain, LangGraph, Semantic Kernel, and AutoGen. Hands-on experience with Azure AI Foundry/Azure OpenAI, AWS Bedrock and SageMaker, Google Vertex AI, and hybrid and multi ...

powered applications leveraging Retrieval-Augmented Generation (RAG), autonomous agents, and orchestration frameworks. Demonstrate proficiency in Python and agent frameworks such as LangChain, LlamaIndex, or AutoGen. Rapidly develop functional prototypes and production-ready demos within project timelines. Commercial & Growth EnablementSupport identification and pursuit of technical expansion opportunities to accelerate account growth. ...

Management experience with strong fundamentals in data structures, algorithms, and system design Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API) Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure Strong problem-solving skills with the ability to navigate ...

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 ...

powered applications leveraging Retrieval-Augmented Generation (RAG), autonomous agents, and orchestration frameworks. Demonstrate proficiency in Python and agent frameworks such as LangChain, LlamaIndex, or AutoGen. Rapidly develop functional prototypes and production-ready demos within project timelines. Commercial & Growth Enablement Support identification and pursuit of technical expansion opportunities to accelerate account ...

experience in Software Engineering, AI Engineering, or related fields.Strong hands-on experience with Python, Generative AI, Agentic AI, LLMs, and RAG architectures.Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks.Expertise in Azure OpenAI, OpenAI, AWS Bedrock, Vertex AI, or open-source LLM ecosystems.Knowledge of REST APIs, microservices, cloud platforms ...

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 observability ...

Requirements Strong Python skills and a solid grounding in software engineering practice Experience building applications with large language models and orchestration frameworks such as LangChain, LangGraph or LlamaIndex Hands-on experience with AWS and/or Azure Understanding of machine learning fundamentals, embeddings and vector databases Experience with ...

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. ...

large-scale enterprise applications.Deep expertise in Java, Spring Boot, RESTful APIs and gRPC services.Strong proficiency in Python, prompt patterns, LLM orchestration frameworks such as LangChain or LlamaIndex, and working with vector databases.Hands-on experience with Kafka, RDBMS/SQL, NoSQL and high-performance caching architectures.Experience with CI/CD pipelines ...

Anthropic Claude, or equivalent models into applications. Understanding of prompt engineering and Retrieval-Augmented Generation (RAG). Exposure to LLM orchestration frameworks such as LangChain, LlamaIndex, or equivalent technologies. Experience or exposure to building AI agents using Google ADK, LangGraph, CrewAI, or equivalent agentic frameworks. Understanding of agentic patterns including ...

/R (pandas/NumPy; ML libs such as scikit-learn; DL frameworks TensorFlow/PyTorch). Experience with LLM/RAG toolchains (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector search (e.g., Pinecone, Weaviate, FAISS, Azure AI Search). Hands‐on experience with AWS Bedrock and Sagemaker would be highly ...

high‐value AI opportunities across Waystone. AI Engineering: Prototype AI features and iterate towards production‐ready capabilities. Build agentic workflows using frameworks such as LangChain or Microsoft Agent Framework, with a solid understanding of agent fundamentals (tools, memory, orchestration, context control). Implement AI agents with tool integration, memory, context ...

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 ...

agentic development. Practical experience with prompt engineering, retrieval‐augmented generation pipelines, context management, embeddings and vector databases, and with agentic frameworks such as LangChain, LangGraph or AutoGen. Customer domain expertise. Experience applying AI to customer growth, personalisation, marketing, commerce, sales or service challenges. You can engage confidently in discussions about ...

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 ...