14 of 14 Remote/Hybrid LangChain Jobs in Manchester

real-world impact highly desirable.Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI is preferred.Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases ...

engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration.Proficiency in ML/NLP and generative models; experience with embeddings, vector stores ...

equivalent* **Frontend Development**: Experience in building React applications using TypeScript, leveraging frameworks such as **Next.js** or **Vite**.* **GenAI Frameworks**: Familiarity with tools like **LangChain**, **LangGraph**, **CrewAI**, or **Vercel AI** (in Python or JavaScript).* **LLM experience**: Practical experience with **Large Language Models** (LLMs) such as **OpenAI**, **Anthropic**, **Mistral ...

/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector DBs & RAG: Designed solutions using vector DBs & Retrieval ...

using REST APIs. Proven prompt engineering experience. Experience deploying AI solutions into production environments. Excellent stakeholder management and communication skills. Desirable Experience Knowledge Graphs. LangChain and/or LangGraph. Vector Databases and Embeddings. Multi-Agent Systems. Azure, AWS or GCP cloud platforms. Preferred Background We're particularly interested in candidates ...

using REST APIs. Proven prompt engineering experience. Experience deploying AI solutions into production environments. Excellent stakeholder management and communication skills. Desirable Experience Knowledge Graphs. LangChain and/or LangGraph. Vector Databases and Embeddings. Multi-Agent Systems. Azure, AWS or GCP cloud platforms. Preferred Background We're particularly interested in candidates ...

highly beneficial: Machine Learning and AI Engineering Generative AI and Large Language Models Prompt engineering and context engineering scikit-learn, PyTorch or TensorFlow LangChain or similar AI frameworks Cloud data platforms and services across AWS, Azure or GCP Data warehouses and modern data platforms Big data and distributed processing technologies ...

experience with popular AI/ML libraries such as TensorFlow, PyTorch, scikit-learn. Familiarity with Generative AI and/or machine learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure ...

embeddings AI workflow automation Python, C# and/or TypeScript APIs and system integration SQL/databases Cloud platforms, particularly Azure Frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or similar Most importantly, you will be someone who understands how to turn AI capabilities into robust, commercially useful software. ...

building data pipelines and working with structured and unstructured data.Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable. Experience with cloud data platforms, data warehouses, or big data technologies is an advantage. Strong analytical and problem-solving skills, with attention ...

mindset focused on outcomes, value, and sustainable delivery. Strong proficiency in Python and JavaScript/TypeScript Hands-on experience building AI agent systems using LangChain, LangGraph, or equivalent orchestration frameworks. Demonstrated experience implementing RAG architectures in production, including embedding models, vector stores, and retrieval strategies. Proficiency with AI-powered development ...

technical stakeholders without breaking a sweatFull stack capability is a strong plus - particularly React, TypeScript, and Tailwind - and familiarity with frameworks like Langchain or Langgraph would be welcomeAdaptable and fast-moving - you thrive in an environment where requirements evolve, you're comfortable with ambiguity, and you have a genuine bias ...

clients in London, Manchester, or Glasgow. You will design, develop and scale full-stack solutions, collaborating with cross-functional teams and leveraging AI frameworks, LangChain, and cloud platforms. The role offers hybrid working, opportunities to grow in GenAI, and exposure to client-facing engagements. A security clearance or eligibility ...

scalability and performance. Implement vector/graph database solutions and RAG techniques for information storage and retrieval. Develop agentic reasoning workflows using frameworks like LangChain or LlamaIndex. Lead the full AI lifecycle: data ingestion, embedding, extraction, synthesis, prompt engineering, and workflow orchestration. Deploy, monitor, and maintain models in Docker-based … Postgres for database solutions. Experience with vector and graph databases, and RAG-based architectures. Experience of with agentic frameworks and orchestration frameworks such as LangChain or LlamaIndex. Solid understanding of LLMs, embeddings, and prompt engineering. Highly Desirable: Experience designing multi-agent systems or autonomous workflows. Hands-on experience with Docker ...