1 to 25 of 157 LangChain Jobs in the UK excluding London

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 ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

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 ...

like Docker, Kubernetes , and CI/CD pipelines Experience working with data stores (SQL/NoSQL) and large datasets Bonus: experience with AI frameworks (LangChain, LlamaIndex, etc.) Why Join? Be the first AI hire real ownership and influence Work on meaningful, tech-for-good products Modern stack, forward-thinking leadership ...

working in agile, cross-functional delivery environments Previous contract or consulting experience in enterprise settings is highly desirable. Key Skills Python (essential) LLM frameworks (LangChain, LlamaIndex, Semantic Kernel) API integration and microservices development Cloud platforms (Azure, AWS, or GCP) Vector databases and embeddings Git, CI/CD, and DevOps practices ...

working in agile, cross-functional delivery environments Previous contract or consulting experience in enterprise settings is highly desirable. Key Skills Python (essential) LLM frameworks (LangChain, LlamaIndex, Semantic Kernel) API integration and microservices development Cloud platforms (Azure, AWS, or GCP) Vector databases and embeddings Git, CI/CD, and DevOps practices ...

like Docker, Kubernetes , and CI/CD pipelines Experience working with data stores (SQL/NoSQL) and large datasets Bonus: experience with AI frameworks (LangChain, LlamaIndex, etc.) Why Join? Be the first AI hire real ownership and influence Work on meaningful, tech-for-good products Modern stack, forward-thinking leadership ...

Strong experience delivering Machine Learning solutions into production* Hands-on experience with LLMs, RAG architectures and agentic AI workflows* Experience with frameworks such as LangChain, LlamaIndex or similar* Strong Python development skills* Experience building APIs and microservices* Knowledge of Docker, Kubernetes and cloud platforms* Understanding of MLOps and production deployment ...

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 ...

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 ...