16 of 16 Remote LangChain Jobs in the Thames Valley

AI engineering. Proven track record of delivering AI software and deploying solutions in production. Strong proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Keras, Numpy, Pandas, Langchain, Pinecone, and more. Experience with cloud platforms and compute systems for model training and deployment. Excellent communication and strategic thinking skills. Preferred Experience: Familiarity with industrial domains such as reliability More ❯

Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar. Experience with CI/CD for AI (GenAIOps), model monitoring, and cloud platforms: Google Vertex AI, AWS SageMaker, or Azure AI. Knowledge of AI More ❯

prototype new techniques in AI orchestration and agentic reasoning What We’re Looking For Proven experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative More ❯

Python and leading AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable AI architectures (RAG, Graph RAG, multi-agent systems) ● Experience with vector databases (Pinecone, Weaviate, FAISS) and major cloud platforms (AWS, Azure, GCP More ❯

Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal; training & leadership More ❯

ensure adoption. Define KPIs that measure impact on speed, quality, and cost of clinical trials. Innovative & Experimentation: Stay ahead of the curve on Gen AI and agentic frameworks (e.g., LangChain, Autogen, CrewAI). Evaluate emerging tools and models for integration into the product stack. Process Optimization and Quality Management: Apply Lean and Six Sigma principles to streamline AI-driven workflows 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 ❯

projects. Ideal Qualifications (Nice-to-Haves) API Integration: Practical experience integrating with third-party APIs and services within AI workflows. AI Frameworks: Familiarity with AI development frameworks such as LangChain or LangGraph. Vector Databases: Understanding of or experience with vector databases (e.g., Pinecone, Weaviate) for managing embeddings. Cloud Platforms: Familiarity with cloud services for deploying and managing applications (e.g., Google 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 ❯

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 ❯

knowledge graphs in production (Neo4j/TigerGraph/Neptune or RDF/OWL; Cypher/SPARQL/GSQL ). Delivered GraphRAG with evidence it beats vector-only. Python + LangChain/LlamaIndex; vector stores (Pinecone/Chroma/LanceDB). Cloud delivery (AWS/Azure/GCP) with basic IaC/CI/CD and governance. Nice-to-have Text More ❯

in AI/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Able to be SC cleared - Must hold British passport (we have MoD projects) There are also some things More ❯

understanding of AI/ML techniques, including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain and LangGraph, AutoGen, CrewAI, or similar Experience supporting pre-sales in consultancy or product environments Systems thinker able to architect complex AI-integrated enterprise solutions Bonus: Experience with Microsoft Copilot More ❯

CI/CD pipelines. Understanding of solution architecture principles – scalability, security, maintainability. Excellent communication skills and the ability to work across teams and domains. Bonus: Experience with Generative AI , LangChain , Semantic Kernel , or Power Platform . Why Join? Work on meaningful projects that span healthcare, environmental, and safety domains. Be part of a team that values innovation, speed, and collaboration. More ❯

to deliver innovative AI-driven tools and services that make a real impact on the public sector. Key Responsibilities: Design and develop conversational AI workflows using frameworks such as LangChain or LlamaIndex . Fine-tune and optimise Large Language Models (LLMs) for performance, accuracy, and cost efficiency. Build evaluation pipelines to ensure model reliability and stability. Develop secure and scalable … in production environments. Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. Hugging Face, OpenAI). Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.). Ability to work collaboratively in fast-paced, agile More ❯

where this was necessary. You either have professional experience using LLMs or have enthusiastically experimented in your own time. Industry experience with LLM toolchains and ecosystems (e.g. libraries like Langchain, observability tooling, RAG systems, etc.) is a plus. You can work closely with a Product Manager to understand customer requirements, build a vision for your team, and turn that into More ❯