1 to 25 of 35 LangChain Jobs in Scotland

statistics, probability, optimization, experimentation, and applied machine learning. Advanced proficiency in Python and modern AI frameworks, including PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems. Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users. Strong understanding of model observability ...

foundation in statistics, probability, optimization, experimentation, and applied machine learning.Advanced proficiency in Python and modern AI frameworks, including PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems.Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users.Strong understanding of model observability, monitoring ...

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 ...

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 ...

experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks ...

experience·Applied AI engineering, ML engineering or software engineering background·Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning·Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks·Experience with vector databases such as Pinecone, Chroma or similar·API development experience, ideally with FastAPI or similar frameworks ...

equivalent technologies.Frontend DevelopmentExperience developing React applications using TypeScript.Familiarity with frameworks such as Next.js, Vite, or similar.Generative AI TechnologiesExperience with Generative AI frameworks such as LangChain, LangGraph, CrewAI, Vercel AI, or equivalent tools.Practical experience working with Large Language Models (LLMs), including platforms such as OpenAI, Anthropic, Mistral, Llama, or similar.Familiarity with ...

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 ...

/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 ...

patternsHands-on experience building applications on AWS or other public cloud platformsExperience with Generative AI systems, including: RAG (Retrieval-Augmented Generation) architectureAI orchestration frameworks (LangChain, LlamaIndex, etc.)LLM evaluation frameworks and responsible AI practices (guardrails, content filtering)Preferred Qualifications, Capabilities, and SkillsDeep expertise in Java, object-oriented design, and system ...

technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP).Ability to translate multi-layered business problems into technical solutions with experience working directly with business stakeholders to understand requirements ...

technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP).Ability to translate multi-layered business problems into technical solutions with experience working directly with business stakeholders to understand requirements ...

.Exposure to large language models (LLMs) such as ChatGPT and Google Bard (or similar).Exposure to LLM application patterns and tooling, including LangChain, retrieval-augmented generation (RAG), and fine-tuning.Experience communicating with and engaging senior leadership and other stakeholders.Preferred: experience building and supporting end-to-end AWS applications, including batch ...

. Exposure to large language models (LLMs) such as ChatGPT and Google Bard (or similar). Exposure to LLM application patterns and tooling, including LangChain, retrieval-augmented generation (RAG), and fine-tuning. Experience communicating with and engaging senior leadership and other stakeholders. Preferred: experience building and supporting ...

implementation strategy, and partner with engineering, data, DevOps and business teams to deliver end-to-end solutions.Tech environmentPython, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure.What we're looking forProven enterprise ...

infrastructure exposure, plus experience in Financial Services or another regulated industry, is essential.Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps familiarity expected. Strong communication and stakeholder ...

Skills Experience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patterns Experience building AI agents using frameworks such as LangChain, CrewAI, LangGraph, or similar orchestration platforms Experience operating or integrating serving platforms such as KServe, Ray Serve, NVIDIA Triton Inference Server, Text Generation Inference (TGI), alongside ...

automated ingestion, parsing, and validation of unstructured documents, ensuring accurate routing of documents to appropriate business workflows.Familiarity with workflow orchestration frameworks (such as LangChain, LangGraph, or equivalent) to automate end-to-end document processing pipelines, including document routing, exception handling, and integration with downstream systems.Understanding of optical character recognition ...

automated ingestion, parsing, and validation of unstructured documents, ensuring accurate routing of documents to appropriate business workflows. Familiarity with workflow orchestration frameworks (such as LangChain, LangGraph, or equivalent) to automate end-to-end document processing pipelines, including document routing, exception handling, and integration with downstream systems. Understanding of optical character ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments·Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns·Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies·Understanding of MLOps, LLMOps and model lifecycle management principles·Experience designing APIs and integrating AI solutions into enterprise environments·Strong understanding of modern ...

production Experience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patterns Experience building AI agents using orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar platforms Experience operating or integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large ...

stacks) in productionExperience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patternsExperience building AI agents using orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar platformsExperience operating or integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large language ...

software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production-level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache ...