51 to 75 of 137 LangChain Jobs in the UK

media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt More ❯

Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/or similar tools Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts Demonstrated ability to identify and More ❯

that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies … using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini More ❯

that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies … using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini More ❯

infrastructure/model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They're Looking For: Strong background in Software or More ❯

Develop and maintain scalable RESTful & GraphQL APIs to interact with LLMs and AI-powered search systems. Design and implement Retrieval-Augmented Generation (RAG) pipelines using open-source tools like LangChain, Langflow, and DataStax Vector Search. Fine-tune LLMs (Hugging Face, OpenAI, Cohere, or similar) to improve response quality and domain-specific performance. Optimize embedding models for better semantic search and More ❯

Programming proficiency in Python and/or C# Familiarity with: Responsible AI frameworks (e.g., NIST AI RMF, ISO/IEC 42001) Regulatory standards (EU AI Act, GDPR, FCA guidance) LangChain, AutoGen, Azure AI Search, Form Recognizer, and Language Services Excellent communication and documentation skills Experience working in cross-functional teams across engineering, legal, and risk domains More ❯

and solution architecture principles. Experience translating business needs into technical designs and delivering in agile environments. Excellent communication and stakeholder engagement skills. Desirable Experience with Generative AI (LLMs, RAG, LangChain, Semantic Kernel). Microsoft Power Platform exposure. Front-end experience (React, Angular, or Vue.js). Familiarity with edge computing or VR/AR technologies. What You'll Bring Curiosity and More ❯

Ability to contribute significantly to architecture decisions and the product roadmap. A strong understanding of LLM-powered applications, including agents, tools, and prompt engineering. Experience with agent frameworks like LangChain or LangGraph. Familiarity with cloud-native systems, especially Google Cloud Platform (Firestore, GCS). Exposure to survey research tools or statistical packages. You're not afraid of maths (bonus if More ❯

ML model development RAG (Retrieval-Augmented Generation) with Vector Databases Strong understanding of Azure Cloud Services , Azure AI Search , and ADI (text, table & image processing) Proficiency with LangGraph and LangChain frameworks Nice to Have: Experience with SQL Server , Docker , CI/CD pipelines , SonarQube , PyTest Monitoring and optimisation of production AI apps More ❯

years of experience, ideally working in high-growth start-up or scale-up environments Strong skills with Python & Fast API Cloud experience, ideally with AWS Proficiency with LLMs, Pydantic, LangChain/LangGraph or similar orchestration tools Computer Science/STEM background from a top ranked University Base salary of £80k-£110k Exceptional equity and benefits package Hybrid working, with More ❯

GCP, Azure). Ability to design and implement production-grade backend services. Solid understanding of software engineering practices: version control, testing, CI/CD, monitoring. Desirable Skills Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks. Experience with speech and voice AI APIs (Eleven Labs, Whisper). Knowledge of chatbot/voicebot design for customer service or sales. DevOps experience (Docker More ❯

stack experience with Python + React/Next.js Proven hands-on AI engineering — RAG systems, embeddings, hybrid search Solid cloud & data skills (AWS, SQL/NoSQL, containerisation) Familiarity with LangChain/LlamaIndex and LLM evaluation tools a bonus Start-up mindset — proactive, hands-on, and comfortable with ambiguity 🚀 Why Join Founding-team impact with meaningful equity Build a groundbreaking AI More ❯

backend engineering, using technologies such as Python, TypeScript, or .NET. Experience with data engineering and data architecture concepts. Familiarity with MLOps practices and AI development frameworks (e.g., Azure AI, LangChain, Hugging Face). Relevant certifications in Azure Architecture, Data, or AI disciplines. Knowledge of automation tools, monitoring, and observability platforms. If you have these skills and would like to find More ❯

backend engineering, using technologies such as Python, TypeScript, or .NET. Experience with data engineering and data architecture concepts. Familiarity with MLOps practices and AI development frameworks (e.g., Azure AI, LangChain, Hugging Face). Relevant certifications in Azure Architecture, Data, or AI disciplines. Knowledge of automation tools, monitoring, and observability platforms. If you have these skills and would like to find More ❯

in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, and tool integration. Familiarity with one or more multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, and Pydantic AI), communication standards (such as MCP, A2A, Story's Agent TCP/IP, Near's AITP), distributed systems, distributed AI architectures, and consensus mechanisms. Ability to More ❯

AI Engineer Location: Weybridge, Surrey Remuneration: £40,000 - £50,000 depending on experience Leading the way in tech innovation, our client is seeking a dynamic AI Engineer to join their ambitious and forward-thinking team. This role offers an exciting More ❯

private sector clients. Details- Proven experience building Agentic AI systems (e.g. autonomous agents, multi-agent orchestration, tool use, memory, planning) Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI assurance, governance More ❯

and private sector clients.Details- Proven experience building Agentic AI systems (e.g. autonomous agents, multi-agent orchestration, tool use, memory, planning) Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI assurance, governance More ❯

understanding of AI/ML techniques, including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain and LangGraph, AutoGen, CrewAI, or similar Experience supporting pre-sales in consultancy or product environments Systems thinker able to architect complex AI-integrated enterprise solutions Bonus: Experience with Microsoft Copilot More ❯

understanding of AI/ML techniques, including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain and LangGraph, AutoGen, CrewAI, or similar Experience supporting pre-sales in consultancy or product environments Systems thinker able to architect complex AI-integrated enterprise solutions Bonus: Experience with Microsoft Copilot More ❯

understanding of AI/ML techniques, including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain and LangGraph, AutoGen, CrewAI, or similar Experience supporting pre-sales in consultancy or product environments Systems thinker able to architect complex AI-integrated enterprise solutions Bonus: Experience with Microsoft Copilot More ❯

understanding of AI/ML techniques, including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain and LangGraph, AutoGen, CrewAI, or similar Experience supporting pre-sales in consultancy or product environments Systems thinker able to architect complex AI-integrated enterprise solutions Bonus: Experience with Microsoft Copilot More ❯

understanding of AI/ML techniques, including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain and LangGraph, AutoGen, CrewAI, or similar Experience supporting pre-sales in consultancy or product environments Systems thinker able to architect complex AI-integrated enterprise solutions Bonus: Experience with Microsoft Copilot More ❯

Qualifications Strong proficiency in Python and React/TypeScript; experience with Java is a plus. Hands-on experience building and deploying LLM-based systems (e.g., OpenAI, Hugging Face Transformers, LangChain, etc.). Deep understanding of AI application architecture, including RAG systems, vector databases, prompt engineering, and fine-tuning. Experience with ML model serving, SDK development, and working in production-grade More ❯