1 to 25 of 31 LangChain Jobs in the UK excluding London

NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model More ❯

data pipelines, analytics tooling, or large-scale data processing. Interest in cloud-native and serverless architectures. Familiarity with tools such as TensorFlow, PyTorch, or LangChain is a plus. More ❯

ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural More ❯

Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Experience training & fine-tuning Transformers or Large Language Models (Huggingface Transformers, OpenAI, Llama 2, Langchain) Experience serving Neural Networks in production (PyTorch, ONNX, TorchServe, Triton) Experience developing & maintaining production ML services Experience with ad-hoc analytics, data visualisation, and BI More ❯

in an agile, test-first environment. Excellent communication skills and a collaborative, mentorship-oriented mindset. Nice to have Prior exposure to LLM orchestration (LangGraph, LangChain, semantic caching, vector DBs). Domain interest in music tech, live events, ticketing, or marketing-tech. Experience with SST.dev, CDK, or other IaC frameworks. Product More ❯

serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. More ❯

serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. More ❯

and now it's time to deliver production-ready solutions in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant). Ensure seamless integration of GenAI More ❯

and implementing machine learning models using Python frameworks such as TensorFlow or PyTorch Practical knowledge of generative AI tooling including Hugging Face transformers and LangChain orchestration Specialisation in natural language processing and large language models, covering training methodologies, deployment strategies and optimisation techniques Familiarity with containerisation and orchestration technologies including More ❯

using generative AI tools and foundational models, including prototypes and production-ready solutions. Proficiency with modern LLM/AI tools (e.g., LlamaIndex, Amazon Q, LangChain, and vector databases), and a strong interest in exploring new tools and techniques within the GenAI ecosystem. Experience with AWS AI/ML services such More ❯

Biases. A solid background in software engineering and DevOps practices, MLOps deployment, and infrastructure. A knack for generative AI frameworks and SDKs, like RAG, Langchain/LangGraph, Semantic Kernel, and tools such as MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency with pipeline orchestration tools, such More ❯

software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain Experience with server deployment, cloud computing environments, and API development. Good understanding of software engineering best practices. Excellent problem-solving abilities and a keen eye More ❯

like pandas , numpy , and experience with data pipelines. Domain experience in finance (liquidity, risk, balance sheet, collateral, etc.). Familiarity with frameworks such as LangChain , Semantic Kernel , or similar. Prior experience working with AI evaluation techniques and agent orchestration . Understanding of cloud AI platforms (AWS, Azure, or GCP). More ❯

in ML, NLP, or a related discipline, with strong understanding of LLM internals. Toolbelt Ready : Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI API. Prompt-Savvy : Comfortable with prompt engineering, model evaluation, and structured analysis of generative systems. Experimentation First : Experience (or interest) in fine-tuning More ❯

or Azure Experience with CI/CD (Gitlab, GitHub, Jenkins) Any experience building solutions that integrate with LLMs using tools such as Vercel AI, Langchain would be highly advantageous We are only able to consider candidates who hold valid DV (Developed Vetting clearance) for this role. More ❯

the future of AI-driven solutions. What Were Looking For: Python (FastAPI), Typescript (Express) or similar Frontend Development: React, Next.js, or Vite GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama Cloud: AWS or Azure Containerisation Bonus Points: Experience in building More ❯

Platforms (Ideally AWS) Strong Python & SQL experience Experience in advertising, marketing or YouTube/social media video (Highly Desirable) Experience or understanding of LLMS, LangChain, & RAG (Beneficial) Sound of interest? Apply today for immediate consideration! Please note: All candidates must be UK based and have the full right to work More ❯

Skilled in managing large databases like PostgreSQL Experience with container orchestration tools such as Docker and Kubernetes Hands-on with LLM libraries such as LangChain , LangGraph , LlamaIndex or Ollama . But....Most importantly, you’re passionate about AI innovation and solving complex challenges 🤖 🎉 Why this role? This is your chance to More ❯

in London with flexibility to work from home one day a week. About you: You have strong Python development skills You have experience with Langchain, Llama Index and using Large Language Models for Generative AI You have experience of interfacing with database products/languages; Neo4J or other graph database More ❯

Excellent problem-solving and communication skills Nice to Have: Experience with WhatsApp API, Twilio, or other messaging services Familiarity with AI frameworks such as Langchain, LangGraph, Autogen, or VertexAI Demonstrated ownership of full lifecycle projects Background in launching AI-based or LLM-integrated functionalities Personal or professional passion projects related More ❯

and improve the accuracy and speed of AI models in live environments. Grow with the Tech : Evolve your skills in agentic AI frameworks (like LangChain), AWS, data governance, and more over your first 12 months. What we are looking for Solid Technical Foundation : Experience with Python, ML workflows, cloud platforms More ❯

experience working with Cloud, preferably AWS Knowledge of AI/ML and latest AI trends & technologies Familiarity in LLM frameworks and libraries such as LangChain, Langfuse, LiteLLM Agile/SCRUM Strong technical, problem solving and communication skills Keen to learn and develop new technical & non-technical skills Passionate, self-starting More ❯

or Azure Implementing and maintaining CI/CD pipelines using GitLab, GitHub, Jenkins Collaborating on innovative solutions that may involve LLMs and tools like Langchain or Vercel AI What we’re looking for: Active Developed Vetting (DV) security clearance – required Strong experience in Java backend development Exposure to front-end More ❯

and data innovation Learn and adapt – We blend cutting-edge research with real-world application, continuously iterating and improving Tech Stack AI & Data : Python, LangChain, LlamaIndex, LangGraph Models : OpenAI, Anthropic, Gemini, Custom Models Data & Infrastructure : DBT, BigQuery, PostgreSQL, OpenSearch, Redis, AWS, Google Cloud Product Development : TypeScript (Full-stack) What We More ❯

for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models Cloud More ❯