16 of 16 LangGraph Jobs in London

solutions. You'll work across the stack, contribute to infrastructure, and collaborate with multidisciplinary teams to deliver impactful digital experiences. Key Responsibilities Build GenAI applications using frameworks like LangChain, LangGraph, or CrewAI. Develop microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral More ❯

solutions. You'll work across the stack, contribute to infrastructure, and collaborate with multidisciplinary teams to deliver impactful digital experiences. Key Responsibilities Build GenAI applications using frameworks like LangChain, LangGraph, or CrewAI. Develop microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral More ❯

developing technology solutions with the ability to explain complex AI concepts to non-technical stakeholders. Bonus Skills/Experience: Agentic Systems: Experience designing and orchestrating autonomous agentic workflows (e.g., LangGraph) and managing agent state/memory. Cloud: Experience working with cloud infrastructure (Azure, AWS, or GCP). Agile Delivery: Experience working in an Agile development environment. Data Engineering: Proficiency in More ❯

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). Familiarity More ❯

of Git/GitHub workflows and DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based systems More ❯

market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines . Build LLM apps using LangGraph/LangChain : tools/function calling, structured outputs (JSON Schema), agents, and multi-step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper ). Choose customization paths pragmatically More ❯

engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs and Agentic AI frameworks (LangGraph, Crew AI) Desirable Experience in Insurtech or Fintech domains Knowledge of insurance workflows or policy administration systems Team leadership and client-facing experience Why Join? Work on high-impact AI projects with More ❯

engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs and Agentic AI frameworks (LangGraph, Crew AI) Desirable Experience in Insurtech or Fintech domains Knowledge of insurance workflows or policy administration systems Team leadership and client-facing experience Why Join? Work on high-impact AI projects with More ❯

data pipelines and AI workflows based on Azure cloud and Databricks. Apply Generative AI techniques for text, code, image, and multimodal use cases. Utilise agentic frameworks such as LangChain, LangGraph, MCP, Google ADK or similar Build solutions for LLM fine-tuning, RAG, and multi-agent AI workflows. Build Python based solutions using key data science and ML libraries (Pandas, NumPy More ❯

AI Engineers and technical contributors to raise the engineering bar. Champion best practices for governance, observability, and lifecycle management of AI systems. Evaluate and introduce emerging frameworks, including Autogen, LangGraph, and other agentic ecosystems. Partner with senior stakeholders to align AI strategy with business goals. Drive the evolution of our internal platform (Pathway) to enable faster, safer AI delivery. Represent More ❯

team. Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations. Proven experience in agentic frameworks (using CruxAI, Google ADK, LangGraph). Preferred Qualifications, Capabilities, and Skills Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred. More ❯

About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy More ❯

years, so we're looking for someone who can get stuck in and help us move fast. Tech Stack: , AWS API Gateway/EKS/Step Functions, React, TypeScript, Langgraph, Langchain, gpt-oss, AWS. What You'll Do Build and scale backend services in JavaScript to improve the core functionality of our AI voice tutor. Work hands-on with large More ❯

with modern web interfaces that quickly adapt to emerging agentic technologies. What You'll Do E-Commerce Agent Development: Design and prototype scalable shopping agents using frameworks like PydanticAI, LangGraph, CrewAI, and OpenAI Agents SDK with advanced tool calling for inventory queries, price comparisons, order management, store control, and personalised product recommendations Multi-modal Shopping Experiences: Engineer responsive web applications … experience in conversational AI systems, agent architectures, or fast-paced ML deployment environments, ideally with e-commerce exposure and full stack development experience Agent Framework Expertise: Proficiency with PydanticAI, LangGraph, CrewAI, AutoGen, or OpenAI Agents SDK, including agent memory, tool integration for shopping APIs, distributed systems design, and e-commerce workflow orchestration Full Stack Development: Python/FastAPI backend development More ❯

and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi-step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically … in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Strong in Python, API design, asynchronous programming, and integration patterns. Hands-on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/ More ❯

and Databricks ecosystems. Apply Generative AI techniques for text, code, image, and multi-modal use cases using advanced prompt engineering. Utilize modern GenAI toolkits and libraries, including: PyTorch LangChain, LangGraph, Model Context Protocol, Google's Agent Development Kit (ADK), and similar agentic frameworks. Develop experiments for LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent AI workflows . Deliver … expertise in: Python (advanced) AI/ML libraries (PyTorch, Hugging Face, Scikit-learn, TensorFlow, optional) Prompt engineering and fine-tuning LLMs for task-specific use cases Familiarity with LangChain, LangGraph, MCP, or other agentic frameworks for building AI applications. Excellent communication and stakeholder management skills. Strong ability to connect business concepts with AI-driven architectures and KPIs. More ❯