16 of 16 LangChain Jobs in the North of England

services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within cloud-based production environments. Exceptional communication skills, clearly articulating technical concepts to diverse stakeholders. Excellent organisational, time management, and prioritisation skills. More ❯

SQL The ability to build AI-driven solutions using large language models (LLMs), and techniques such as retrieval-augmented generation (RAG) and agent-based approaches, supported by frameworks like LangChain and CrewAI Skills in leveraging AI model APIs (e.g. OpenAI, Anthropic) and rapid prototyping tools such as Streamlit, along with AI-native developer tools like Cursor, to bring ideas to More ❯

data retrieval LLM Training & Fine-Tuning: Use methods like LoRA, QLoRA, SFT, PEFT, and RLHF Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js More ❯

data retrieval LLM Training & Fine-Tuning: Use methods like LoRA, QLoRA, SFT, PEFT, and RLHF Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js More ❯

Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product More ❯

Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product More ❯

would be beneficial, though all we require is an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via More ❯

relevant languages. Ability to build AI-driven solutions using large language models (LLMs), and techniques such as retrieval-augmented generation (RAG) and agent-based approaches, supported by frameworks like LangChain and CrewAI. Skilled in leveraging AI model APIs (e.g. OpenAI, Anthropic) and rapid prototyping tools such as Streamlit, along with AI-native developer tools like Cursor, to bring ideas to More ❯

in Python, experienced in building multi-step intelligent systems, and comfortable working across UI, APIs, cloud AI platforms, and observability tools. You'll work with cutting-edge frameworks like LangChain, LangGraph, LangFlow, CrewAI, and others to build advanced prototypes that integrate short-term and long-term memory, RAG pipelines, vector databases, and more. Key Responsibilities: Rapidly build and iterate on … and agent-based prototypes for various use cases (chatbots, copilots, A2A task agents, etc.). Implement agentic workflows, multi-step reasoning pipelines, and memory management using frameworks such as LangChain, LangGraph, LangFlow, CrewAI, Autogen etc. Engineer and tune prompts to enhance performance and reliability of generative tasks. Design RAG systems using vector databases (Pinecone, FAISS, Chroma, PosgreSQL etc.) for contextual 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 ❯

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 ❯

using LLMs, autonomous agents, and semantic search. The engineer will work across the full stack-from prompt engineering and memory management to UI and cloud deployment-using tools like LangChain, CrewAI, and vector databases. Core Responsibilities Build and iterate on LLM/agent-based prototypes (e.g., copilots, chatbots, A2A agents). Implement multi-step reasoning, memory modules, and RAG pipelines. … Use frameworks like LangChain, LangGraph, CrewAI, and tools like Pinecone, FAISS. Optimize performance and ensure responsible AI practices. Deploy via cloud platforms (AWS Bedrock, Azure AI, Google Vertex). Build UIs (Streamlit, Gradio, React) and integrate APIs and databases. Preferred Skills Experience with multi-agent systems and ethical AI. Familiarity with advanced model configuration and reusable AI components. Job Title 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 ❯

Senior AI Software Engineer The Company I am currently working in partnership with a global technology organisation who specialise in providing software solutions for a specific industry. The Role They are hiring for Senior Software Engineers to help lead their More ❯

Senior AI Software Engineer The Company I am currently working in partnership with a global technology organisation who specialise in providing software solutions for a specific industry. The Role They are hiring for Senior Software Engineers to help lead their More ❯

talent and giving you space to grow. The Role You'll be designing and building AI agents using no-code/low-code tools like n8n, Zapier, Make, and LangChain UI, creating workflows that connect apps, trigger actions, and embed large language models (like GPT-4) into real business processes. This is not just 'drag and drop' it's real … automations Familiarity with APIs, webhooks, and integration logic Strong problem-solving mindset, attention to detail, and a love of figuring things out Bonus Points (Not Deal-Breakers): Knowledge of LangChain (UI), AutoGen Studio, or ChatGPT APIs Experience in AI ops, workflow automation, or digital transformation UI/UX awareness for building intuitive agent flows Why Join? Flexibility: remote-first, with More ❯