1 to 25 of 121 LangChain Jobs in the UK

Conversational AI development Model training, testing and evaluation Prompt Engineering and AI workflow optimisation Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate ...

experience ·Applied AI engineering, ML engineering or software engineering background ·Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning ·Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks ·Experience with vector databases such as Pinecone, Chroma or similar ·API development experience, ideally with FastAPI or similar frameworks ...

experience · Applied AI engineering, ML engineering or software engineering background · Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning · Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks · Experience with vector databases such as Pinecone, Chroma or similar · API development experience, ideally with FastAPI or similar frameworks ...

distributed systems Expertise in API-based backend development (e.g. FastAPI or similar) Experience with vector databases (e.g. Pinecone, Chroma) Experience with agent frameworks (e.g. LangChain, LangGraph, or similar) Strong understanding of evaluation frameworks for AI/agent systems Experience implementing CI/CD pipelines and modern engineering practices Exposure ...

systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow ...

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 ...

development LLM integration experience - OpenAI, Anthropic, or equivalent APIs MCP, REST APIs, Microservices Architecture Cloud platforms - AWS, Azure, or GCP Preferred Agentic framework experience - LangChain, LangGraph, AutoGen, or similar RAG pipeline design and vector database experience (Pinecone, Weaviate, pgvector) Agile/SDLC tooling - Jira, Git, CI/CD pipelines ...

development LLM integration experience - OpenAI, Anthropic, or equivalent APIs MCP, REST APIs, Microservices Architecture Cloud platforms - AWS, Azure, or GCP Preferred Agentic framework experience - LangChain, LangGraph, AutoGen, or similar RAG pipeline design and vector database experience (Pinecone, Weaviate, pgvector) Agile/SDLC tooling - Jira, Git, CI/CD pipelines ...

core ML—supervised, unsupervised, evaluation, regularisation, statistics Production ML experience—deploying, serving and monitoring models at scale LLM and generative AI tooling exposure (LangChain, LlamaIndex, vector databases such as Pinecone, Weaviate or pgvector, RAG patterns, fine-tuning workflows) MLOps platforms (MLflow, Kubeflow, Vertex AI, SageMaker, Databricks or equivalent) Cloud experience ...

applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertise Hands-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 ...

innovation, scalability, security, and responsible AI practices Key skills: Generative AI/LLMs RAG (Retrieval-Augmented Generation) Azure OpenAI, AWS Bedrock, or Vertex AI LangChain, LangGraph, LlamaIndex Python Hugging Face, PyTorch, TensorFlow Cloud Architecture (Azure/AWS/GCP) AI/ML Architecture experience Enterprise solution design Experience: 7+ years ...

engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing ...

Collaborate closely with engineering, data, DevOps, and business teams to deliver end-to-end solutions. Tech Environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes, and GPU infrastructure. What We're Looking For Proven experience designing ...

Qualifications, Capabilities, and Skills: \n \n Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. \n Hands-on experience with agentic frameworks (LangChain, LangGraph). \n Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. \n Demonstrated experience in financial services, particularly investment banking operations. ...

technical audiences. Preferred Qualifications, Capabilities, and Skills: Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Hands-on experience with agentic frameworks (LangChain, LangGraph).Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.Demonstrated experience in financial services, particularly investment banking operations. Join us to help shape ...

technical audiences. Preferred Qualifications, Capabilities, and Skills: Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Hands-on experience with agentic frameworks (LangChain, LangGraph). Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services, particularly investment banking operations. Join ...

nPreferred Qualifications, Capabilities, and Skills:\ N\nFamiliarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites.\ NHands-on experience with agentic frameworks (LangChain, LangGraph).\ NExperience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.\ NDemonstrated experience in financial services, particularly investment banking operations.\ N\nJoin ...

NDemonstrate proficiency in Java and/or Python programming languages \ NDeploy production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain \ N\nUtilize cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker ...

Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. \n Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. \n Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. \n Understanding of data preprocessing, feature engineering, and model/ ...

scikit-learn.Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts.Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph.Knowledge of generative models including transformers, GANs, VAEs, and diffusion models.Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques.Familiarity with cloud ...

Demonstrate proficiency in Java and/or Python programming languages Deploy production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilize cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes ...

Demonstrate proficiency in Java and/or Python programming languages Deploy production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilize cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes ...

learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation ...

across engineering, architecture and business teams - Support AI deployment, governance and operational rollout Tech environment: Python/SQL · LLMs (prompt engineering, fine-tuning, RAG) · LangChain/LangGraph · Agent frameworks · Vector databases · FastAPI/APIs · AWS/Azure/GCP/Databricks · CI/CD, MLOps/LLMOps What ...

infrastructure‐as‐code tools such as Terraform and Helm Advanced/Specialist Expertise Experience building and deploying GenAI solutions using frameworks such as LangChain and Azure OpenAI Development of enterprise‐grade RAG (Retrieval-Augmented Generation) systems, including context engineering and multimodal data pipelines Design and deployment of autonomous multi‐agent ...