1 to 25 of 63 LangChain Jobs in the UK

functional teams and contribute to requirement analysis, testing, and documentation. Preferred · Experience supporting AI product development lifecycle (design → build → evaluate → iterate). · Exposure to: LangChain and LangSmith/LangFuse Supervised fine-tuning or lightweight tuning (LoRA, PEFT) RAG evaluation techniques and model feedback loops MLOps/LLMOps tools (MLflow, Kubeflow ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational ...

tuning Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows Understanding of MCP (Model ...

payments transformation programs Technical Strong Python skills Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.) Experience with LLMs/GenAI frameworks (LangChain, RAG, prompt engineering, etc.) Experience in cloud (AWS/Azure/GCP) Experience in MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML, etc.) API development experience ...

open source, or industry impact). Technical Excellence Expert Python and modern ML frameworks (PyTorch, TensorFlow). Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar). Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation, and security. Hands-on experience with fine-tuning, deploying, and monitoring ...

Data & AI Tooling Experience working with structured and unstructured data. Familiarity with vector stores, embeddings, and document processing pipelines. Exposure to orchestration frameworks (e.g. LangChain‐style patterns) is desirable. Domain Experience (Highly Desirable) Experience delivering AI or data solutions in insurance or financial services. Understanding of insurance workflows such ...

version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. ...

with hands-on experience building models and data pipelines Proven experience working with Generative AI (LLMs, prompt engineering, embeddings) Experience using frameworks such as LangChain, LlamaIndex, or similar Experience integrating with model APIs (e.g. OpenAI or open-source alternatives) Exposure to cloud environments (AWS, GCP or Azure) Strong problem-solving ...

engineering environments. Strong expertise in Python and AI/ML libraries: PyTorch, TensorFlow, Scikit‐Learn, Keras, NumPy, Pandas, JAX, XGBoost, PyTorch Geometric, OpenCV, Transformers, LangChain, Pinecone . Proven hands‐on experience deploying models in production and building scalable AI software. Deep understanding of advanced modelling methods: deep learning, GNNs, computer ...

PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. ...

Skills Python, TypeScript LLM frameworks (LangChain, LlamaIndex, OpenAI tools, Semantic Kernel) Vector databases (Pinecone, Weaviate, Chroma) Cloud (AWS/Azure/GCP) Docker, Kubernetes CI/CD, observability, testing for AI systems Experience Strong experience building LLM applications, RAG systems, or AI agents Understanding of prompt engineering, tool-calling ...

solving ability and willingness to learn in a fast-paced environment Ability to communicate technical concepts clearly Desirable Experience Experience with LLM frameworks (e.g. LangChain) Knowledge of vector databases or RAG architectures Exposure to Docker or containerised environments Familiarity with data processing tools (e.g. Spark, Dask) Understanding of CI/ ...

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 ...

databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps ...

etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps ...

etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps ...

fast-moving SME environment—balancing hands-on technical work with strategic innovation. Key Responsibilities Design, build, and deploy AI agents using frameworks such as LangChain, CrewAI, or similar. Integrate multi-agent systems into existing software products and business workflows. Collaborate with stakeholders to identify automation opportunities and deliver agentic solutions. ...

Requirements: Proven experience designing and productionising RAG pipelines and agentic AI architectures Hands‐on delivery of agent‐based AI systems with orchestration tools (e.g., LangChain, CrewAI) in production. Strong Python engineering skills with solid testing, optimisation, CI/CD, and code quality; Experience implementing and scaling vector databases (Pinecone, Weaviate ...

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 ...

React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP Strong programming skills in Python (experience with LangChain/LangGraph/LangSmith frameworks) and TypeScript (preferable) Solid understanding of LLMs, prompt engineering, and graph-based workflows Knowledge and implementation of Input and Output ...

knowledge, including LLMs, RAG, prompt engineering, and modern AI tooling Solid Python knowledge Familiarity with Claude and similar frontier models Production experience using LangChain PhD, MSc or BSc in a AI/ML or similar discipline Desirable RAG architectures, embeddings, and vector databases Prompt management, evaluation, and observability Cloud deployment ...

robust, observable, and maintainable systems What You'll Bring: Strong Python skills and production-grade coding experience Proven track record shipping LLM-powered systems (LangChain/LangGraph or similar) into production Hands-on experience with AI agents, agentic workflows, and multi-step reasoning Experience designing and implementing RAG systems with ...

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 deployment patterns ...

experience working with Cloud, preferably AWS Knowledge of AI/ML and latest AI trends & technologies Familiarity in LLM frameworks and libraries such as LangChain, Langfuse, LiteLLM CI/CD/Docker/Kubernetes Soft skills: Agile/SCRUM Strong technical, problem solving and communication skills Keen to learn ...

paced startup environment. Proven track record building and deploying production-grade agentic systems — ideally automating complex, multi-step workflows. Hands-on experience with Mastra, LangChain, LangGraph, Vercel AI SDK, or similar agent orchestration tools. Strong understanding of LLM evaluation, prompt design, and domain-specific model tuning techniques. Deep understanding ...