26 to 50 of 137 LangChain Jobs in the UK

Augmented Generation (RAG), and graph 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 workflows Experience designing or integrating More ❯

Augmented Generation (RAG), and graph 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 workflows Experience designing or integrating More ❯

Augmented Generation (RAG), and graph 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 workflows Experience designing or integrating More ❯

a fully automated AWS environment (Terraform, Ansible, GitHub Actions). Alongside this, we're building the next generation of our data and AI infrastructure — exploring frameworks like Hugging Face, LangChain, LlamaIndex and agent orchestration systems. We use Cursor and Copilot to speed iteration and experimentation. We're always open to new approaches, whether it's a different data stack, AI More ❯

be focused on our backend system (Symfony, PHP) and our data products (BigQuery, DBT, Airflow), but there will be opportunities to work across the platform including, agentic AI (Python, Langchain), frontend (React, TypeScript), the APIs (GraphQL, REST), our integration tool of choice (Tray.ai) and all the other tools and technologies that keep everything humming. You don't need to be More ❯

LLM providers (e.g. OpenAI, Anthropic, Google) and an understanding of their comparative strengths, trade-offs, and integration models. Experience with AI/ML toolchains such as OpenAI, Hugging Face, LangChain, or custom model serving. Demonstrated ability to work on greenfield projects, defining new patterns, processes, and tooling from the ground up. Experience with GitHub Actions, Terraform, or similar DevOps tooling. More ❯

ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally in a research-driven or exploratory More ❯

ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally in a research-driven or exploratory More ❯

ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally in a research-driven or exploratory More ❯

ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally in a research-driven or exploratory More ❯

ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally in a research-driven or exploratory More ❯

remote UK-based role. ***Unfortunately we can't consider candidates that require sponsorship*** Compensation: Up to £65,000 + package Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like More ❯

Copilot Studio, Power Automate, Power Apps, custom connectors SharePoint Development Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub Actions, CI/CD, and DevSecOps practices Responsible AI frameworks (e.g., NIST AI RMF, ISO/ More ❯

domain experts Required Skills/Experience The ideal candidate will have the following: Be an expert Python programmer proficient in frameworks/libraries such as: Numpy, Pandas, Scikit-Learn, Langchain, Llamaindex, Azure AI Foundry amongst others. Must have Azure and be an expert with R&D on generative AI techniques Practical experience with GenAI techniques such as Finetuning, Prompt engineering More ❯

in AI, natural language processing, or data visualisation. Adaptability and willingness to learn in a fast-paced startup environment. Nice to have: Familiarity with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why More ❯

in AI, natural language processing, or data visualisation. Adaptability and willingness to learn in a fast-paced startup environment. Nice to have: Familiarity with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why More ❯

for GenAI and a strong understanding of its potential impact on business and technology. Experience in regulated industries such as insurance or financial services. Experience with tools such as LangChain, Databricks, LLMOps, and Kubernetes. Behaviours: Team player Self-motivated with a drive to learn and develop Logical thinker with a professional and positive attitude Passion to innovate and improve processes More ❯

in AI, natural language processing, or data visualisation. Adaptability and willingness to learn in a fast-paced startup environment. Nice to have: Familiarity with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why More ❯

in AI, natural language processing, or data visualisation. Adaptability and willingness to learn in a fast-paced startup environment. Nice to have: Familiarity with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why More ❯

in AI, natural language processing, or data visualisation. Adaptability and willingness to learn in a fast-paced startup environment. Nice to have: Familiarity with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why More ❯

solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or fintech. Applicants must be based in the UK with full right to work. More ❯

media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt More ❯

media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt More ❯

media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt More ❯

media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt More ❯