1 to 25 of 76 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 ❯

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 ❯

programming languages such as Python, C/C++, and familiarity with object-oriented programming. Experience of working with or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. More ❯

programming languages such as Python, C/C++, and familiarity with object-oriented programming. Experience of working with or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. More ❯

programming languages such as Python, C/C++, and familiarity with object-oriented programming. Experience of working with or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. More ❯

programming languages such as Python, C/C++, and familiarity with object-oriented programming. Experience of working with or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. More ❯

programming languages such as Python, C/C++, and familiarity with object-oriented programming. Experience of working with or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. More ❯

programming languages such as Python, C/C++, and familiarity with object-oriented programming. Experience of working with or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. More ❯

programming languages such as Python, C/C++, and familiarity with object-oriented programming. Experience of working with or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. More ❯

Generative AI techniques. RAG Pipelines: Deep understanding and practical experience in developing and optimising Retrieval-Augmented Generation (RAG) pipelines. GenAI Frameworks: Hands-on experience with key frameworks such as LangChain/LangGraph and/or LlamaIndex. LLM Integration: Proven ability to integrate effectively with LLM APIs (OpenAI, Gemini) and ideally experience handling open-source models. Knowledge Graphs for AI: Experience More ❯

Generative AI techniques. RAG Pipelines: Deep understanding and practical experience in developing and optimising Retrieval-Augmented Generation (RAG) pipelines. GenAI Frameworks: Hands-on experience with key frameworks such as LangChain/LangGraph and/or LlamaIndex. LLM Integration: Proven ability to integrate effectively with LLM APIs (OpenAI, Gemini) and ideally experience handling open-source models. Knowledge Graphs for AI: Experience More ❯

outputs within set timelines. And any experience of these would be a plus: Proficiency in Python programming and experience using AI-specific frameworks or libraries such as PyTorch, TensorFlow, LangChain, LlamaIndex, or similar tools; proficiency in SQL. Hands-on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies. Familiarity with cloud AI platforms such as GCP Vertex More ❯

This is a hands-on role that combines software engineering, A experimentation, and AI product innovation. You'll be empowered to shape agent architecture, explore cutting-edge frameworks like LangChain and LlamaIndex, and be responsible for operationalising high-performance, real-time AI systems. Key Responsibilities LLM Agent Development : Design and build intelligent, multi-step LLM agents using frameworks like LangChain … documentation efforts to evangelise AI agent capabilities across the organisation and clients. Why You're Made for This Agentic Experience: Hands-on experience building agent workflows using frameworks like LangChain, LangGraph, or similar orchestration engines. Deep AI Knowledge: Strong foundation in AI/ML concepts, especially around LLMs, prompt engineering, embeddings, and vector search. Engineering Excellence: Fluency in Python (AI More ❯

Collaborate closely with IT, engineering, and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with … For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation (RAG) methods. Strong problem-solving skills and the ability to design practical More ❯

or TypeScript with Express or 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 , or Llama , and tools like Ollama More ❯

Skilled in working with LLMs, vector databases, RAG pipelines, prompt engineering, and fine-tuning Comfortable using cloud platforms (especially Azure), and familiar with tools such as Databricks, Hugging Face, LangChain, and open-source GenAI libraries Naturally curious and passionate about staying ahead of AI and data science trends Commercially aware, with the ability to identify new opportunities and deliver value More ❯

Stay current with advancements in AI, ML, and LLM technologies. The Tech Toybox includes: TensorFlow/PyTorch for those deep learning dreams ️Cloud platforms to make it all float Langchain & LlamaIndex for connecting the dots What you’ll need to succeed: At least 3 years of proficiency in AI and machine learning technologies, particularly LLMs. Strong experience with prompt engineering More ❯

develop and communicate AI solution visions to both technical and business stakeholders in healthcare organizations. Experience in fast-paced healthcare SaaS environments during high-growth phases. Preferred: Expertise with langchain and similar tools for multimodal healthcare AI projects. Interview Process Initial screen with Recruiter. Technical assessment. Peer interview. Hiring Manager interview. Apply now to help shape the future of AI More ❯

dependency injection Bonus Points For Experience In: Transitioning POC applications to production-ready systems Performance monitoring and optimisation User research and service design Generative AI: RAG apps, vector DBs, LangChain AI ethics, bias mitigation, and responsible AI practices Who You Are A proactive problem-solver who enjoys team collaboration, values quality, and wants to make a real contribution in a More ❯

data modelling, and software architecture. Solid hands- on experience in Python and its ecosystem ( Jupyter, Pandas, Scikit- learn, Matplotlib), and comfort working with SQL for data analysis. Experience with LangChain is a plus. Experience of delivering AI and ML- based products into production environments, with an understanding of both model evaluation and productionisation challenges. Expertise in statistics, hypothesis testing, sampling More ❯

week GenAI project. You’ll be working with LLMs, agentic frameworks, and modern backend tools in a remote, collaborative setup. What you'll need: Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agent system patterns Comfortable with FastAPI or Flask Strong cloud More ❯

week GenAI project. You’ll be working with LLMs, agentic frameworks, and modern backend tools in a remote, collaborative setup. What you'll need: Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agent system patterns Comfortable with FastAPI or Flask Strong cloud More ❯

debt, and improvement strategies. Partner with Directors, AI Leads, and Infrastructure Leads to align software outcomes with business goals. Leverage your understanding of AI tooling and modern frameworks (e.g. LangChain, DeepSeek) to guide effective integration into internal platforms. Requirements/experience: Proven experience leading software development teams in a scale-up or fast-growth tech environment Strong background in DevOps More ❯

debt, and improvement strategies. Partner with Directors, AI Leads, and Infrastructure Leads to align software outcomes with business goals. Leverage your understanding of AI tooling and modern frameworks (e.g. LangChain, DeepSeek) to guide effective integration into internal platforms. Requirements/experience: Proven experience leading software development teams in a scale-up or fast-growth tech environment Strong background in DevOps More ❯

debt, and improvement strategies. Partner with Directors, AI Leads, and Infrastructure Leads to align software outcomes with business goals. Leverage your understanding of AI tooling and modern frameworks (e.g. LangChain, DeepSeek) to guide effective integration into internal platforms. Requirements/experience: Proven experience leading software development teams in a scale-up or fast-growth tech environment Strong background in DevOps More ❯