101 to 125 of 164 LangChain Jobs in the UK

web development best practices, and secure coding principles Bonus Skills: Experience building microservices in languages such as C# or Java Integration experience with large language models using tools like LangChain or Vercel AI Familiarity with the GOV.UK Design System and templating using Nunjucks If you're excited about solving complex real-world challenges with technology and working in an environment More ❯

What Were Looking For: Managerial experience - Leading/Managing a small team of GenAi Developers 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 Proof of Concepts (POCs) Client More ❯

need to hold SC clearance or be eligible for SC clearance Practical experience with LLMs, such as OpenAI Proficiency working with cloud platforms Familiarity with GenAI frameworks such as LangChain or Vercel AI Company: Graduate Recruitment Bureau (Hiring for client) Location: UK flexible, UK Salary Notes: £45-55K Courses Considered: Data Science,IT,Maths and Stats,Physics, Jobs related More ❯

a keen experimenter with LLMs, utilising the skills and knowledge you have in software engineering for LLM based personal projects. Key topics of interest would be agentic systems, RAG, Langchain or automated workflows. You'll have experience using modern Python for scalable and extendible code development (and probably experience with other modern mainstream coding technologies such as Go or Rust More ❯

ML and LLM-based applications, as well as developing and maintaining new ones. Qualifications Strong background in Computer Science and Software Development Experience with complex RAG pipelines (without using Langchain or LlamaIndex) Tech stack includes: Foundation and open-source LLMs, vector databases (Pinecone, Qdrant, Weaviate), embeddings, Next.js, Vercel, MongoDB, Cohere reranking, multimodal parsing (e.g., Unstructured.io) This is a project-based More ❯

and efficiency, leveraging best practices in AI engineering. Integrate using Microsoft Graph API or prebuilt plugins Requirements Strong experience with LLMs (OpenAI, Mistral, Claude, etc.) Built with tools like LangChain, OpenRouter, or function-calling agents Solid with Next.js, Node.js, or Python (we're flexible) Some experience (or curiosity) around regulated workflows and operational complexity Bonus: Microsoft Graph API or More ❯

problem-solving abilities. Effective time management and prioritisation skills under tight deadlines. Bonus Skills & Expertise Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice More ❯

stack: Java, TypeScript + React, and MySQL Extensive applied experience with AI-assisted development tooling-whether it's Cursor, Windsurf, LLM APIs, codegen platforms, vector databases, agentic frameworks like LangChain, or custom-built systems A strong product mindset and interest in building for real-world impact A bias toward experimentation, iteration, and continuous learning Comfort operating in ambiguity and helping More ❯

stack: Java, TypeScript + React, and MySQL Extensive applied experience with AI-assisted development tooling-whether it's Cursor, Windsurf, LLM APIs, codegen platforms, vector databases, agentic frameworks like LangChain, or custom-built systems A strong product mindset and interest in building for real-world impact A bias toward experimentation, iteration, and continuous learning Comfort operating in ambiguity and helping More ❯

Document Understandingusing Generative AI, including tasks such as information extraction, summarization, classification, and Q&A over unstructured text. Proven experience leading the design, development, and deploymentof GenAI solutions with LangChain, Python, and modern LLM frameworks. Strong ability to translate business needs into technical requirements, define solution architectures, and build actionable work planswith clear timelines, milestones, and deliverables. Demonstrated experience in … leadership and stakeholders. Familiarity with the Model Risk Management (MRM) lifecycle, including model documentation, testing, validation, and alignment with governance and compliance frameworks. Proficiency in Pythonand tools such as LangChain, Pandas, PyTorch/TensorFlow, and FastAPI. Strong understanding of prompt engineering, RAG pipelines, vector databases (e.g., FAISS, Chroma), and LLM evaluation strategies. Familiarity with software engineering best practices, including: REST More ❯

and popular ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face). Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Mistral, Whisper). Familiarity with agentic AI frameworks (LangChain, AutoGen, CrewAI, OpenAI Functions). Interest in human-centred design, service delivery and inclusive technologies. Ability to explain complex technical ideas clearly and collaborate in small teams. Self-driven problem … would be beneficial: Experience of deploying solutions which include ASR or captioning tools (e.g. Whisper, Vosk, AWS Transcribe). Experience of deployment solutions which include agentic AI frameworks (e.g. LangChain, AutoGen, CrewAI, OpenAI Functions). Understanding of accessibility best practices (e.g. WCAG standards). Experience of client facing projects or customer service. Exposure to cloud services (e.g. AWS, Azure) and More ❯

to provide deeper insights into campaign performance and ROI• Build and deploy AI automations leveraging LLMs and AI agent frameworks: Design and implement solutions using cutting-edge technologies like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, and similar frameworks to automate tasks, enhance decision-making, and improve campaign performance• Stay ahead of the curve on emerging AI technologies: Continuously research and … in applying them to real-world marketing challenges• Experience building products and automations leveraging Large Language Models (LLMs) and AI agent frameworks• Familiarity and practical experience with tools like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, or similar• Demonstrated ability to identify innovative AI solutions and successfully scale them within an organization• Strong coding skills in Python or similar languages, with More ❯

Lead Machine Learning Engineer - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will create cutting-edge AI solutions, mentor others More ❯

you'll be needing A background in software development (ideally full-stack or backend including Python). Hands-on experience with AI tools (e.g. building GPT-based apps, using LangChain or integrating APIs). A passion for AI, with experience in Machine Learning & LLMs. Strong systems thinking and automation mindset. Track record building small tools, scripts, or data products that More ❯

to product scoping. Love working close to commercial teams and real users. Have strong instincts for what moves the needle—not just what ships. Bonus Points Experience with LLMs, LangChain, or AI agents. Prior work in startups or fast-paced 0→1 environments. Familiarity with GTM workflows: sales ops, lead scoring, routing, CRM automation, etc. Why Join? Real-world impact More ❯

scalable solutions. Ensure outputs are consistent, version-controlled, and compounding over time. You Should Have Strong proficiency in Python and/or JavaScript/TypeScript. Experience with OpenAI APIs, LangChain, or similar LLM orchestration tools. Strong understanding of prompt structure, system design, and GPT behaviour tuning. Ability to build simple internal UIs or backend logic (no full-stack required). More ❯

to product scoping. Love working close to commercial teams and real users. Have strong instincts for what moves the needle—not just what ships. Bonus Points Experience with LLMs, LangChain, or AI agents. Prior work in startups or fast-paced 0→1 environments. Familiarity with GTM workflows: sales ops, lead scoring, routing, CRM automation, etc. Why Join? Real-world impact More ❯

such as Java, TypeScript, React, and MySQL. Hands-on experience with AI-assisted development tools like Windsurf, Cursor, GitHub Copilot, and Enterprise ChatGPT. Practical experience with AI tools like LangChain/LangGraph is highly desirable. Exposure to LLM APIs, codegen platforms, vector databases, and agentic frameworks. A disruptor mindset and interest in creating solutions with real-world impact. A passion More ❯

and validate new ideas for the venture studio with a focus on AI and web3 technology stacks. We are working with bleeding edge open source technologies such as LangGraph, LangChain, CrewAI, various open source LLMs and blockchains like Starknet, zkSync etc. The ideal candidate is an experienced Machine Learning Engineer that has experience working with various models, in particular LLMs More ❯

nuanced trade offs and varied opinions. Experience in a range of tools sets comparable with our own: Database technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as plotly, seaborn, streamlit etc You are Able to chart a path on a long term More ❯

members What you bring to the table Strong coding skills in any OOP languages (backend development) Proficient in Python programming with experience in AI/ML libraries such as LangChain, PydanticAI, NumPy Expertise in Large Language Models (LLMs) including fine-tuning, prompt engineering, and working daily with models like GPT, Claude, Gemini Hands-on experience with vector databases (e.g., OpenSearch … Select Have you worked with Large Language Models (e.g., GPT, Claude, Gemini)? Can you briefly describe your hands-on experience with Python and AI/ML libraries such as LangChain, NumPy, or PydanticAI? We're particularly interested in how you've applied these tools in real-world projects Have you designed or worked with agentic AI systems (e.g., using MCP More ❯

to integrate systems such as CRMs, payroll software, and shared inboxes.Collaborate with operations leadership to identify inefficiencies and design practical, scalable solutions.Stay current with emerging AI agent frameworks (e.g., LangChain, CrewAI, AutoGen) and apply them where appropriate.Rapidly build, test, and iterate on tools in a fast-paced, problem-solving environment.What You BringA strong problem-solving mindset and a passion for More ❯

founder, and wants to shape how AI is used in the physical world. 🧠 You’ll need: 2+ years' engineering experience with a builder’s mindset Hands-on with LLMs — LangChain, RAG, agents, fine-tuning, etc. Infra knowledge (cloud, containers, relational/graph DBs) Bonus: startup/founder experience 🔧 You’ll be doing: Shipping to prod from Day 1 Building end More ❯

systems such as CRMs, payroll software, and shared inboxes. Collaborate with operations leadership to identify inefficiencies and design practical, scalable solutions. Stay current with emerging AI agent frameworks (e.g., LangChain, CrewAI, AutoGen) and apply them where appropriate. Rapidly build, test, and iterate on tools in a fast-paced, problem-solving environment. What You Bring A strong problem-solving mindset and More ❯

Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Streaming & CDC: Apache Kafka, AWS Kinesis, change data capture AI/Vector Search: Pinecone, Weaviate, or Chroma with LangChain API Development: RESTful services, 3rd-party system integrations Production Standards: Monitoring, logging, cost optimisation, error handling Ideal Candidate Senior-level engineer with proven experience delivering client-facing demos or production More ❯