1 to 25 of 491 LangChain Jobs in the UK

Strong articulation, stakeholder management and consulting skills•Experience driving productivity and cost optimisationsSkills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain,Langsmith/Langfuse, Gen AI/Agentic AI , Cloud platforms (Azure AI Foundry, AWS Bedrock/Sagemaker, GCP Vertex AI) , MLOps/LLMOps tools (MLflow ...

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 ...

familiarity with Java/Kotlin, with a solid understanding of API design, development and integration patternsLLM and Generative AI ExpertiseExperience with frameworks such as LangChain, LangGraph, and APIs from OpenAI, Anthropic, etc.Demonstrated proficiency in prompt engineering and orchestrating AI agents, chatbots, and autonomous workflowsCloud, Deployment & Operations Experience- Familiarity with cloud ...

solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, Mistral, HuggingFace, and emerging AI platforms. Hands-on experience with AI orchestration and agent frameworks including LangChain, LangGraph, Semantic Kernel, LlamaIndex, CrewAI, and AutoGen. Strong knowledge of Prompt Engineering, RAG, Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Azure AI Search), Model Fine-Tuning ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native AI/ML platforms (e.g. AWS SageMaker, Azure ML) 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 ...

agentic development. Practical experience with prompt engineering, retrieval-augmented generation pipelines, context management, embeddings and vector databases, and with agentic frameworks such as LangChain, LangGraph or AutoGen.Customer domain expertise. Experience applying AI to customer growth, personalisation, marketing, commerce, sales or service challenges. You can engage confidently in discussions about customer ...

best practices, testing, version control, and deployment. Ability to work with technical and non-technical stakeholders. Desirable Skills Experience with OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face, or similar tools. Experience deploying AI models or AI applications into production. Knowledge of MLOps, CI/CD, monitoring, and model evaluation. ...

experience building LLM agents, RAG systems, or orchestrated AI workflows in productionStrong Python (with PyTorch, TensorFlow, or similar frameworks)Experience with agent frameworks (LangChain, LangGraph, AutoGen, or similar)Solid understanding of APIs, backend services, and microservices architecturesExperience working with cloud platforms (AWS, GCP, or Azure) and containerised systems (Docker, Kubernetes ...

teams and mentoring engineers. Desirable Experience within EdTech, SaaS, or digital consumer products. Knowledge of adaptive learning, recommendation systems, or educational analytics. Experience with LangChain, LlamaIndex, vector databases, and AI orchestration frameworks. Understanding of responsible AI, privacy, and ethical AI development. Passion for improving education through technology. Reference: AMC/ ...

teams and mentoring engineers. Desirable Experience within EdTech, SaaS, or digital consumer products. Knowledge of adaptive learning, recommendation systems, or educational analytics. Experience with LangChain, LlamaIndex, vector databases, and AI orchestration frameworks. Understanding of responsible AI, privacy, and ethical AI development. Passion for improving education through technology. Reference: AMC/ ...

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 ...

selecting the right model for use case, cost, and performance constraints Hands‐on experience building Gen AI applications using modern frameworks such as LangChain, LangGraph, LlamaIndex, and Hugging Face, including agentic and multi‐step workflows Proven experience designing and implementing Retrieval‐Augmented Generation (RAG) systems, including vector databases (pgvector, Pinecone ...