1 to 25 of 45 Remote LangChain Jobs in London

of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation. GenAI & Agentic Frameworks: Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, agent planning, tool use integration, multi-agent collaboration). AI Architecture: Deep understanding of AI/ More ❯

and evaluation of domain-specific LLMs , applying retrieval-augmented generation (RAG) and prompt engineering techniques. Contribute to the development of multi-agent systems using frameworks such as AutoGen , LangGraph , LangChain , or CrewAI . Support the integration of AI safety techniques into system design and deployment. Help implement real-time and batch inference pipelines with secure APIs (REST/gRPC, event More ❯

Statistical testing experience Experience with AWS Bedrock Experience with C# Containerization via Docker. Awareness of basic data science and generative AI methods. Exposure to generative AI application frameworks like LangChain, LlamaIndex, SmolAgents and griptape. What's in it for you? Join an ever-growing, market disrupting, global company where the teams - comprised of the best of the best - work in More ❯

control (Git) Experience working in cloud environments (AWS, GCP, or Azure) Ability to work independently and communicate effectively in a remote team Bonus Points Experience with Hugging Face Transformers , LangChain , or RAG pipelines Knowledge of MLOps tools (e.g., MLflow, Weights & Biases, Docker, Kubernetes) Exposure to data engineering or DevOps practices Contributions to open-source AI projects or research publications What More ❯

control (Git) Experience working in cloud environments (AWS, GCP, or Azure) Ability to work independently and communicate effectively in a remote team Bonus Points Experience with Hugging Face Transformers , LangChain , or RAG pipelines Knowledge of MLOps tools (e.g. MLflow, Weights & Biases, Docker, Kubernetes) Exposure to data engineering or DevOps practices Contributions to open-source AI projects or research publications What More ❯

of Docker , CI/CD workflows, and automation pipelines Familiarity with MLOps tooling such as MLFlow, Git version control, and environment management Desirable Skills & Interests: Experience with frameworks like LangChain , Langflow , or similar tools for building AI agents Understanding of Large Language Models (LLMs) and intelligent automation workflows Experience building high-availability, scalable systems using microservices or event-driven architecture More ❯

pre-trained open source models Strong understanding of machine learning workflows, including model evaluations and LLM fine-tuning Familiarity with AI orchestration and agent-based systems and best practices (LangChain, AutoGen, n8n) Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills and the ability to translate technical concepts to non-technical stakeholders The person More ❯

modular, distributed, and asynchronous systems Solid experience leading full-stack application development teams Expert-level proficiency in Python and hands-on experience with at least one LLM based framework (LangChain, LangGraph, LangSmith, LlamaIndex, Qdrant, etc ) Strong experience with asynchronous queues (e.g., Kafka, RabbitMQ) and asynchronous APIs Deep understanding of cloud infrastructure (AWS, GCP) and experience deploying and managing applications at More ❯

community. Engineering Design, develop, and optimize AI/ML features in Qdrant's core engine and SDKs. Prototype and implement integrations with popular ML frameworks (e.g., Hugging Face, OpenAI, LangChain). Analyze performance, identify bottlenecks, and implement scalable solutions in real-world AI pipelines. Collaborate with product and engineering teams to define and deliver impactful features. Community & Customer Engagement Support More ❯

partners to match value proposition to business needs. Thrived as a another fast-paced SaaS startup or scale-up during a high-growth phase. Preferred to have: expertise with langchain and similar tools for multimodal AI projects. What's in it for you: £80-100k base salary with £25k additional commission Top 15% quartile equity options plan through an More ❯

technical requirements and solution architecture for complex AI systems. Strong experience building and consuming API services in Python, using FastAPI or similar. Strong experience with LLM frameworks such as langchain, Pydantic-AI, Google ADK, OpenAI's Assistants, litellm, etc (it's not required to know them all), and an understanding of how they facilitate agentic AI development. Strong practical knowledge More ❯

Microsoft Fabric Cloud, preferably Azure (Data Lake, Functions, App Services) Containerisation with Docker and CI/CD pipelines MLOps tooling (MLFlow, Git-based versioning, environment tracking) Desirable Skills & Interests LangChain, Langflow, or similar frameworks for building AI agents LLMs or intelligent automation workflows High-availability, scalable systems (microservices, event- based architectures) Orchestration tools like Airflow, container orchestration (Kubernetes), or serverless More ❯

Microsoft Fabric * Cloud, preferably Azure (Data Lake, Functions, App Services) * Containerisation with Docker and CI/CD pipelines * MLOps tooling (MLFlow, Git-based versioning, environment tracking) Desirable Skills & Interests * LangChain, Langflow, or similar frameworks for building AI agents * LLMs or intelligent automation workflows * High-availability, scalable systems (microservices, event- based architectures) * Orchestration tools like Airflow, container orchestration (Kubernetes), or serverless More ❯

Microsoft Fabric* Cloud, preferably Azure (Data Lake, Functions, App Services)* Containerisation with Docker and CI/CD pipelines* MLOps tooling (MLFlow, Git-based versioning, environment tracking)Desirable Skills & Interests* LangChain, Langflow, or similar frameworks for building AI agents* LLMs or intelligent automation workflows* High-availability, scalable systems (microservices, event-based architectures)* Orchestration tools like Airflow, container orchestration (Kubernetes), or serverless More ❯

Ability to work independently and drive architecture decisions A relevant degree or equivalent experience Desirable: Experience with Kubernetes and OpenShift Familiarity with MCP or agent-based frameworks Knowledge of LangChain, LlamaIndex, or other orchestration tools Background in building developer tools or platforms Understanding of LLM prompt engineering and optimization Experience with Terraform or CloudFormation Join us to work on a More ❯

compliance teams to deliver real-world results What We’re Looking For • 5+ years' ML experience with strong Python skills • Experience with NLP, LLMs, and prompt engineering • Familiarity with LangChain, Semantic Kernel, or AutoGen • OCR/document layout modelling experience • Cloud-native deployment experience (AWS, Azure, or GCP) • Strong engineering mindset – writing production-grade, scalable code Bonus Points For • Experience More ❯

Cloud & DevOps: AWS (20+ services), Kubernetes (EKS), Docker, Infrastructure as Code(CloudFormation, Terraform), CI/CD (Jenkins,GitHub Actions), Observability(AWS, Grafana) Development tools: GitHub, Jira, Notion, ChatGPT,Gemini,LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. WHAT WE OFFER YOU A front-row seat in a fast scaling, early stage startup. Working on cutting edge problems More ❯

language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. Hugging Face, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or open-source contributions. 📩 If interested More ❯

language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. Hugging Face, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or open-source contributions. 📩 If interested More ❯

language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. Hugging Face, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or open-source contributions. 📩 If interested More ❯

foundation in software design patterns and data structures Familiar with Git, Jupyter, command line, and agile workflows Experience with: React.js Node Python CSS Typescript Unit Testing AI/ML: LangChain, PyTorch, TensorFlow (basic understanding) Bonus: Interest in ethical AI, UX design, and CI/CD optimization Authorized to work in the UK without visa sponsorship Remote Setup Requirements: Reliable high More ❯

DevOps: AWS (20+ services), Kubernetes (EKS), Docker, Infrastructure as Code (CloudFormation, Terraform), CI/CD (Jenkins, GitHub Actions), Observability (AWS, Grafana). Development tools: GitHub, Jira, Notion, ChatGPT, Gemini, LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. Test automation: Cypress (E2E), Postman (API), Jest (frontend unit), PHPUnit (backend unit), JUnit (Android), XCTest (iOS). WHAT WE OFFER More ❯

Postgres Familiarity with web standards, accessibility, and development best practice Building microservices in C# or Java Experience building solutions that integrate with LLMs using tools such as Vercel AI, Langchain etc. Using the GOV.UK Design System and using Nunjucks WHAT YOU'LL LOVE ABOUT WORKING HERE: We are delighted to have received the "Glassdoor Best Places to work UK' accolade More ❯

vector search and embeddings (e.g. FAISS, Pinecone) Understanding of prompt engineering and few-shot learning Ability to work independently in a hybrid, agile environment Nice to Have Experience with LangChain, LlamaIndex, or similar orchestration tools Exposure to cloud platforms (AWS/GCP) and containerisation (Docker) Familiarity with NLP evaluation metrics and safety frameworks More ❯

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 ❯