1 to 25 of 308 LangChain Jobs in the UK

multimodal models, and earlier architectures such as GANs and VAEs. Experience across text, code, image, and multimodal generation; advanced prompt engineering; orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel). Hands‐on exposure to both API‐based (Claude, GPT, Gemini) and open‐source (Llama, Mistral) LLM‐based solution design. Agentic ...

platforms (e.g., AWS, Azure, GCP) and their relevant services. AI/ML:Familiarity with AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, LangChain, LlamaIndex).Direct experience in developing, integrating, and deploying agentic AI systems. Leadership & Soft Skills: Excellent problem-solving, analytical, and critical thinking skills. Strong communication ...

automated evals, experiment tracking, observability, model lifecycle management. Responsible AI : governance frameworks, guardrails, model safety, compliance, and auditability. Preferred but not required Orchestration frameworks : LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy, Semantic Kernel, Strands. Advanced retrieval : Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases. Agentic patterns : multi-agent ...

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 ...

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 ...

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 ...

with cloud AI platforms such as Azure OpenAI, AWS Bedrock or Google Vertex AI. Google Cloud Platform Tools and Technology Python Golang LangGraph/LangChain LLM evaluation, prompt engineering DevOps LLM telemetry Generative AI Experience A degree in Computer Science, Software Engineering, or a related field or similar work based ...

high‐value AI opportunities across Waystone. AI Engineering: Prototype AI features and iterate towards production‐ready capabilities. Build agentic workflows using frameworks such as LangChain or Microsoft Agent Framework, with a solid understanding of agent fundamentals (tools, memory, orchestration, context control). Implement AI agents with tool integration, memory, context ...

influence roadmaps, and accelerate delivery. AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies to solve real‐world banking challenges. Operational Excellence: Implement and champion best‐in‐class engineering practices, including CI/ ...

practices. Hands-on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. Strong understanding of enterprise architecture, scalability, security, and operational excellence. Preferred Skills Experience with Azure OpenAI, OpenAI, Anthropic ...

continuous learning.Help define best practices, technical standards, and reusable patterns for AI development across the organization.Develop agentic AI workflows using orchestration frameworks such as LangChain, or similarDevelop and maintain AI system blueprints, ensure integration with existing infrastructure, and optimize performance and scalability.Ensure compliance, observability, and scalability are embedded in design ...

Help define best practices, technical standards, and reusable patterns for AI development across the organization. Develop agentic AI workflows using orchestration frameworks such as LangChain, or similar. Develop and maintain AI system blueprints, ensure integration with existing infrastructure, and optimize performance and scalability. Ensure compliance, observability, and scalability are embedded ...

proficient in Python programming with hands-on experience using modern AI/ML tooling (such as PyTorch or TensorFlow) and enterprise frameworks (such as LangChain, LlamaIndex, CrewAI, or Haystack). A proven track record of designing RESTful APIs, microservices, and event-driven architectures to build and ship production-ready, enterprise ...

model endpoints, pipelines, embeddings, vector search) or equivalent cloud‐native AI/ML platforms (e.g. AWS SageMaker, AzureML) and agent orchestration frameworks (e.g. LangChain, LangGraph, ADK). Solid understanding of MLOps – CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring. Proven experience deploying and operating ML systems ...

influence roadmaps, and accelerate delivery. AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain), and other AI/ML technologies to solve real‐world banking challenges. Operational Excellence: Implement and champion best‐in‐class engineering practices, including CI/ ...

proficient in Python programming with hands-on experience using modern AI/ML tooling (such as PyTorch or TensorFlow) and enterprise frameworks (such as LangChain, LlamaIndex, CrewAI, or Haystack).A proven track record of designing RESTful APIs, microservices, and event-driven architectures to build and ship production-ready, enterprise-grade ...

influence roadmaps, and accelerate delivery. AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies to solve real-world banking challenges. Operational Excellence: Implement and champion best-in-class engineering practices, including CI/ ...

architectures, prompt workflows, and model/provider selection. Experience with RAG, embeddings, vector search, AI agents, and agentic workflows. Familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools. Experience integrating AI into enterprise systems, APIs, and business workflows. Experience with at least one major cloud ...

Azure ML, or Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel).Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration ...

Data Version Control Practical experience building LLM/GenAI applications, including prompt engineering and retrieval-augmented generation (RAG) Familiarity with LLMOps frameworks such as LangChain, LangSmith or LangGraph Understanding of model validation, evaluation techniques and production monitoring Experience working in cross-functional teams from problem definition through to delivery Strong ...

TensorFlow . Deep understanding of LLMs, Generative AI, prompt engineering, RAG architectures and vector databases . Experience with frameworks and tooling such as LangChain, LangGraph or similar open-source AI toolkits . Experience fine-tuning, evaluating, deploying and monitoring large-scale AI systems. Strong understanding of MLOps and/ ...

agentic AI, data science, or automation solutions. Hands-on experience with programming languages and frameworks such as Python, JavaScript/TypeScript, FastAPI, Flask, React, LangChain, LlamaIndex, PyTorch, TensorFlow, or similar technologies. Experience integrating APIs, data sources, model providers, workflow tools, and cloud services into working demos or prototypes. Working knowledge ...

hands-on with emerging technologies – exploring what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures ...

hands-on with emerging technologies – exploring what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures ...

hands-on with emerging technologies – exploring what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures ...