1 to 25 of 65 LangChain Jobs in the UK

on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks such as LangChain and LangGraph Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring. Proven experience deploying and operating ML systems in production (batch and real-time More ❯

learning techniques such as graph neural networks and graph data science. Proficiency in Python and experience with key NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers, Hugging Face, BERT, Langchain). Hands-on experience with deep learning frameworks like TensorFlow or PyTorch. Strong problem-solving skills, particularly in addressing complex NLP challenges. Excellent communication and collaboration skills, with the ability More ❯

least one modern language (JavaScript/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 Cloud & DevOps: AWS, Azure, or More ❯

applications, optimizing performance and scalability. Apply backend/data processing skills to handle structured and unstructured datasets. Stay current with open-source AI/ML frameworks (e.g., Hugging Face, LangChain) and apply them to business needs. Communicate technical concepts clearly to technical and non-technical stakeholders. Essential Skills & Experience Hands-on experience in ML, NLP, and GenAI (LLM/SLM More ❯

applications, optimizing performance and scalability. Apply backend/data processing skills to handle structured and unstructured datasets. Stay current with open-source AI/ML frameworks (e.g., Hugging Face, LangChain) and apply them to business needs. Communicate technical concepts clearly to technical and non-technical stakeholders. Essential Skills & Experience Hands-on experience in ML, NLP, and GenAI (LLM/SLM More ❯

/distillation of large-scale language models, with hands-on expertise in SFT, PPO, and reward modeling. Deep proficiency in Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable AI More ❯

desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.). Experience with ML tooling (e.g. SageMaker, LangChain/LangSmith, MLflow, Dataiku, DataRobot). Knowledge of embeddings, their applications, and limitations. Hands-on experience in Agile/Lean/XP environments. Excellent communication, problem-solving, and cross-team More ❯

Polars, DuckDB, Malloy, SQL Infrastructure-as-code: Terraform, Pulumi Data Management and Orchestration: Airflow, dbt Databases and Data Warehouses: SQL Server, PostgreSQL, MongoDB, Qdrant, Pinecone GenAI: OpenAI APIs, HuggingFace, LangChain, Talk-to-data Monitoring: Datadog About You We are looking for someone who can wear two hats - the data architect and the strategic business consultant - so you'll need to More ❯

hand over maintainable solutions. Good practice : apply data ethics, security and privacy by design; align to service standards and accessibility where relevant. Tech you'll likely use LLM frameworks : LangChain, LlamaIndex (or similar) Cloud & Dev : Azure/AWS/GCP, Docker, REST APIs, GitHub Actions/CI Data & MLOps : BigQuery/Snowflake, MLflow/DVC, dbt/Airflow (nice to More ❯

e.g. databases, software engineering practices, cloud computing - especially AWS) and data science (e.g. machine learning process) Excellent knowledge of Python includingPytorch, Tensorflow andSKLearn as well as initial knowledge of LangChain andRAGAS. Familiarity with CI/CD workflows is required and experience with containerisation and deployment using Docker/Kubernetes will be considered a plus 1+ year experience working in relevant More ❯

Hands-on experience with LLMs/SLMs, Python, Java, SQL/NoSQL. API development, web scraping, data integration. On-prem AI model deployment, open-source frameworks (e.g. Hugging Face, LangChain). Strong consulting and communication skills. Preferred Knowledge of data structures, algorithms, and solution architecture. Experience with cloud AI platforms (AWS, Azure, GCP). Broad ML knowledge and prior consulting More ❯

Hands-on experience with LLMs/SLMs, Python, Java, SQL/NoSQL. API development, web scraping, data integration. On-prem AI model deployment, open-source frameworks (e.g. Hugging Face, LangChain). Strong consulting and communication skills. Preferred Knowledge of data structures, algorithms, and solution architecture. Experience with cloud AI platforms (AWS, Azure, GCP). Broad ML knowledge and prior consulting More ❯

clinical services. This is a full-time, remote UK-based role. ***Unfortunately we can't consider candidates that require sponsorship*** 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 ❯

NoSQL databases. Experience with API development, web scraping/crawling, and data integration. Practical exposure to on premise AI model deployment and open-source AI frameworks (eg, Hugging Face, LangChain). Ability to assess AI tools and recommend optimisation for performance improvements. Strong consulting and communication skills able to translate technical concepts into business value. Bachelor's or Master's 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 (eg, 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 ❯

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 ❯

backend services . Solid understanding of software engineering practices : version control, testing, CI/CD, monitoring. Experience translating business needs into coded AI solutions . Desirable Skills Familiarity with LangChain, LlamaIndex , or similar orchestration frameworks. Experience with speech and voice AI APIs (ElevenLabs, Whisper). Knowledge of chatbot/voicebot design for customer service or sales. DevOps experience (Docker, Kubernetes 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. More ❯

solving, and leadership skills. Nice to have Rerankers (e.g., cross-encoders), structured retrieval over SQL + vectors, query rewriting/expansion, or lightweight knowledge graphs. LLM/evals tooling (LangChain/LlamaIndex/OpenAI Evals) and feature telemetry for relevance/latency/cost dashboards. Experience in B2B data products or fintech. Get in touch! If this role excites you More ❯

Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/or similar tools Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts Demonstrated ability to identify and More ❯

solving, and leadership skills. Nice to have Rerankers (e.g., cross-encoders), structured retrieval over SQL + vectors, query rewriting/expansion, or lightweight knowledge graphs. LLM/evals tooling (LangChain/LlamaIndex/OpenAI Evals) and feature telemetry for relevance/latency/cost dashboards. Experience in B2B data products or fintech. Get in touch! If this role excites you More ❯

Experience mentoring senior engineers and shaping the growth of engineering organisations. Preferred: Experience defining enterprise-level AI architectures, platforms, or internal developer tools. Familiarity with AI orchestration frameworks (LlamaIndex, LangChain, Crew AI, AutoGen, etc.) and best practices for agentic systems. Track record of contributions to open-source AI/ML communities or internal platform accelerators. Background working in environments requiring More ❯

Experience mentoring senior engineers and shaping the growth of engineering organisations. Preferred: Experience defining enterprise-level AI architectures, platforms, or internal developer tools. Familiarity with AI orchestration frameworks (LlamaIndex, LangChain, Crew AI, AutoGen, etc.) and best practices for agentic systems. Track record of contributions to open-source AI/ML communities or internal platform accelerators. Background working in environments requiring More ❯

Experience mentoring senior engineers and shaping the growth of engineering organisations. Preferred: Experience defining enterprise-level AI architectures, platforms, or internal developer tools. Familiarity with AI orchestration frameworks (LlamaIndex, LangChain, Crew AI, AutoGen, etc.) and best practices for agentic systems. Track record of contributions to open-source AI/ML communities or internal platform accelerators. Background working in environments requiring More ❯

relevant languages. Ability to build AI-driven solutions using large language models (LLMs), and techniques such as retrieval-augmented generation (RAG) and agent-based approaches, supported by frameworks like LangChain and CrewAI. Skilled in leveraging AI model APIs (e.g. OpenAI, Anthropic) and rapid prototyping tools such as Streamlit, along with AI-native developer tools like Cursor, to bring ideas to More ❯