76 to 100 of 135 LangChain Jobs in England

that's pushing boundaries in autonomous AI What You'll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain, co-pilots, agentic workflows) Curiosity and eagerness to learn in a fast-moving AI landscape Experience collaborating with stakeholders and translating business problems into technical solutions What You'll Get More ❯

Your day-to-day tasks will involve solving abstract problems and utilizing modern AI tools and models across the entire data and engineering stack. Tech Stack AI Engineering: Python, LangChain, LlamaIndex, LangGraph AI Models: OpenAI, Anthropic, Gemini, Custom Models Data Tools: DBT, BigQuery Databases: PostgreSQL, OpenSearch, Redis Product Engineering: TypeScript (Full-stack) Infrastructure: Serverless, AWS, Google Cloud, GitHub Actions Requirements More ❯

or senior-level experience Advanced skills in Python and strong fluency in SQL Experience working in cloud-based environments (preferably Azure) Hands-on experience with tools such as Postgres, Langchain, Ollama, Polars, GitLab CI/CD, and Unix-based systems Proven track record of deploying ML models into production and managing lifecycle Comfortable designing data services/APIs and supporting More ❯

Copilot-enhanced Visual Studio environment and embracing AI-assisted development. Comfortable working independently on AI-related features in a remote-first, async-friendly environment. Nice to Have: Experience with LangChain, Semantic Kernel , or similar orchestration frameworks. Familiarity with embedding models , vector stores, or retrieval-augmented generation (RAG). Contributions to open-source AI/dev tools or participation in AI More ❯

Python, API design, and distributed systems architecture. You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch. You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge More ❯

or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML libraries (e.g. Semantic Kernel, Langchain and Agentic frameworks). Experience deploying models into production using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong knowledge of data engineering principles More ❯

and research We are looking 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 infrastructure (networking, security, storage, monitoring More ❯

with real-time systems, streaming protocols, and GPU acceleration. A creative mindset and passion for building human-centric AI. Desirables- Experience with LLMs and conversational AI frameworks (e.g., Rasa, LangChain). Knowledge of emotion detection, prosody modeling, or affective computing. Familiarity with Unity, Unreal Engine, or WebGL for avatar rendering. More ❯

with real-time systems, streaming protocols, and GPU acceleration. A creative mindset and passion for building human-centric AI. Desirables- Experience with LLMs and conversational AI frameworks (e.g., Rasa, LangChain). Knowledge of emotion detection, prosody modeling, or affective computing. Familiarity with Unity, Unreal Engine, or WebGL for avatar rendering. More ❯

pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python skills and experience working with LLMs Familiarity with RAG pipelines Experience building chatbots or agent-based systems Knowledge of real-time API integration Understanding of prompt engineering, token More ❯

pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python skills and experience working with LLMs Familiarity with RAG pipelines Experience building chatbots or agent-based systems Knowledge of real-time API integration Understanding of prompt engineering, token More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯