1 to 25 of 124 LangChain Jobs in the UK

Technical Skills Programming Languages: Python, Java, C++, C#, TypeScript, JavaScript Machine Learning: TensorFlow, PyTorch, Scikit-learn GenAI/LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes Cloud & Infrastructure: AWS, Azure ...

. Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills:- Experience with LLMs/Generative AI (OpenAI, Hugging Face, LangChain). Cloud experience (AWS, Azure, or GCP). Experience building AI APIs and microservices. Education Bachelors or Masters degree in Computer Science, Data Science ...

. Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills Experience with LLMs/Generative AI (OpenAI, Hugging Face, LangChain). Cloud experience (AWS, Azure, or GCP). Experience building AI APIs and microservices. Education Bachelors or Masters degree in Computer Science, Data Science ...

. Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills Experience with LLMs/Generative AI (OpenAI, Hugging Face, LangChain). Cloud experience (AWS, Azure, or GCP). Experience building AI APIs and microservices. Education Bachelor’s or Master’s degree in Computer Science, Data ...

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

What You’ll Do Develop AI Applications & Agentic Systems Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs ...

implement GenAI solutions using RAG, agents, tool-use, prompt engineering, fine-tuning, model evaluation, and guardrails. Build agentic automation workflows using frameworks such as LangChain, LlamaIndex, Haystack, CrewAI, Vertex AI Agent Builder , etc. Lead ML engineering best practices (MLOps, LLMOps, CI/CD for AI workloads). Ensure enterprise-grade ...

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 ...

enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions ...

/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures ...

/TypeScript, Java, Python) • Web & Product Development: Frameworks (React, Node.js, Django/Flask) • AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama • Agentic AI: Frameworks (langchain, langgraph, Google ADK) • AI enabled code tooling: Cursor, Windsurf, GitHub copilot • AI powered platform development: Lovable, Replit, Bolt • APIs & Microservices: RESTful APIs, GraphQL, microservice architectures ...

architectures and their integration into enterprise systems You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow. You are familiar with core agent communication protocols, including MCP or A2A. You are a person who loves to stay current with the latest ...

agents with enterprise systems, APIs, and data sources for autoremediation. Develop scalable, reliable, and secure AI agent architectures. Stay current with GenAI agent frameworks (LangChain, LlamaIndex, Autogen) and IT automation trends. Build intuitive frontends (Next.js, React, TypeScript) and backend services (Python). Provide technical guidance on agentic AI principles ...

Data Version Control Practical experience building LLM/GenAI applications, including prompt engineering and retrieval-augmented generation (RAG) Familiarity with LLMOps frameworks such as LangChain, LangSmith or LangGraph Understanding of model validation, evaluation techniques and production monitoring Experience working in cross-functional teams from problem definition through to delivery Strong ...

designed for you. What Youll Do Architect Agentic & GenAI Systems Design, build, and optimise production-grade Generative AI applications using frameworks such as LangChain, LangGraph, and LlamaIndex . Integrate with leading LLMs including GPT, Claude, Gemini , as well as self-hosted and fine-tuned models where required. Define patterns ...

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. ...

Mathematics, Statistics). Proven leadership experience spanning investment and technology teams. Proficiency in Python or R; hands-on familiarity with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, LangGraph). Strong prompt engineering skills and experience translating complex workflows into structured, agentic tasks. 7+ years of experience in investment ...

evaluation, and applied statistical methods. Exposure to observability and monitoring tools such as Splunk, Grafana, Dynatrace, and ELK. Hands-on experience with LLM frameworks (LangChain, LangGraph, or similar) and RAG architectures. Strong programming skills in Python (preferred) and/or Go, with proven ability to build both prototypes and production ...

models, databases, ETL, and data pipelines. Experience with cloud (AWS/Azure/GCP) and MLOps. Expertise in generative AI & LLMs (OpenAI, Hugging Face, LangChain, vectors). Exceptional communicator and client‐facing collaborator. Preferred: Advanced degrees or relevant certifications. Experience with agentic AI tools and governance principles. Leadership or project ...

strong stakeholder management Proficiency across Python or Java, ML frameworks (TensorFlow, PyTorch, scikit-learn), and cloud AI services Knowledge of agentic tools such as LangChain Agents, AutoGPT, and CrewAI, plus familiarity with GenAI/LLM integrations (e.g., Hugging Face, RAG, OpenAI) STEM background and clear communication skills — able to translate ...

solutions , this is a strong next step. What Youll Be Doing Build Generative AI Solutions Develop and enhance GenAI applications using frameworks such as LangChain, LangGraph, or LlamaIndex , integrating with LLMs including GPT, Claude, and Gemini . Implement RAG Pipelines Support the design and delivery of Retrieval-Augmented Generation ...

MLOps tooling (MLflow, Weights & Biases, DVC). Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures. Familiarity with LLMOps tooling (LangSmith, LangChain, LangGraph). Understanding of model evaluation, validation, and production monitoring. Strong problem-solving skills and ability to communicate complex findings clearly. Eligible for DV security ...

Scikit‐learn, XGBoost, LightGBM, CatBoost Time‐series forecasting (Prophet, SARIMAX, ML‐based approaches) Optimisation frameworks (OR‐Tools, Pyomo) Agentic AI & LLMs (Nice to Have) LangChain or Semantic Kernel Vector databases (Pinecone, Weaviate, Milvus, Azure Vector DB) Evaluation frameworks (LangSmith, DeepEval) LLM integration (OpenAI/Azure OpenAI) Software Engineering & Platform Docker ...

systems Hands-on experience with LLMs, RAG, vector databases, and GenAI frameworks Experience deploying solutions on cloud platforms (AWS, Azure, or GCP) Familiarity with LangChain, LlamaIndex, or agentic frameworks is highly valuable Strong grounding in software engineering best practices (testing, versioning, CI/CD, scalability) Mindset & Behaviours: Seek ownership ...

Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. ...