51 to 75 of 421 LangChain Jobs in the UK

commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure, and RAG pipeline construction LLM orchestration and agentic frameworks (e.g. LangChain/LlamaIndex‐style tooling, multi‐agent patterns) Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) LLMOps/MLOps — model versioning, deployment ...

teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer ...

code, not just scripts (OOP, async, packaging, testing) Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning — model development, training, evaluation, and deployment APIs & backend development — FastAPI, REST APIs, microservices architecture ...

code, not just scripts (OOP, async, packaging, testing) Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning — model development, training, evaluation, and deployment APIs & backend development — FastAPI, REST APIs, microservices architecture ...

/LLMs Large Language Models (LLMs) Generative AI application development GitHub Copilot Claude Code OpenAI GPT/Azure OpenAI Anthropic Claude APIs Agentic AI LangChain LangGraph CrewAI Software Engineering Strong development experience with Python, JavaScript/TypeScript, C# or Java REST APIs and microservices Software architecture and engineering best practices ...

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, integrate them with existing infrastructure, and optimize performance and scalability Embed compliance, observability, and scalability in design ...

both technical and non-technical audiences Nice to have Experience operationalizing LLM or Generative AI workflows in Databricks pipelines Familiarity with frameworks like LangChain, LlamaIndex or Databricks ML/MosaicML Knowledge of AI governance, security practices and enterprise integration controls Background in financial trading data or related domains Official Databricks ...

with running AI systems in production. Strong software engineering fundamentals are essential, particularly in Python, Java or TypeScript . Experience with LangGraph, CrewAI, AutoGen, LangChain or equivalent agentic frameworks is highly relevant, but we’re interested in depth of experience rather than simply familiarity with a particular tool. ...

with running AI systems in production. Strong software engineering fundamentals are essential, particularly in Python, Java or TypeScript . Experience with LangGraph, CrewAI, AutoGen, LangChain or equivalent agentic frameworks is highly relevant, but we’re interested in depth of experience rather than simply familiarity with a particular tool. ...

Demonstrated proficiency in: Rapid prototyping of data science and machine learning solutions on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, focusing on prompt engineering and LLMs. Writing production-grade Python applications. Managing version control ...

including version control, automated testing, and monitoring.DesirableExperience building or productionising agentic AI systems—tool use, orchestration, multi-step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar).Experience with GenAI/LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation).Exposure ...

technical audiences. Preferred Qualifications, Capabilities, and Skills: Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Hands‐on experience with agentic frameworks (LangChain, LangGraph). Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services, particularly investment banking operations. Join ...

technical audiences. Preferred Qualifications, Capabilities, and Skills: Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Hands-on experience with agentic frameworks (LangChain, LangGraph). Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services, particularly investment banking operations. Join ...

version control, automated testing, and monitoring. DesirableExperience building or productionising agentic AI systems—tool use, orchestration, multi-step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar).Experience with GenAI/LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation).Exposure ...

version control, automated testing, and monitoring. Experience building or productionising agentic AI systems—tool use, orchestration, multi‐step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar). Experience with GenAI/LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation). ...

Ability tovalidate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use Familiarity with agentic system concepts awareness of orchestration frameworks (LangChain,LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-basedarchitecture; production experience preferred, conceptual understandingrequired #LI-MP About our client ...

frameworks such as FastAPI.Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems.Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies.A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring.Experience creating automated evaluations for generative AI applications.Experience ...

such as FastAPI.Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems. Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies. A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring. Experience creating automated evaluations for generative ...

such as FastAPI.Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems. Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies. A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring. Experience creating automated evaluations for generative ...

management on AKS. Strong hands-on experience with Azure, including Azure OpenAI, Azure AI Search, AKS, and Databricks. Proven production experience with LangGraph and LangChain, including multi-step agentic workflows and tool-calling agents. Hands-on experience with Azure AI Search or other vector/hybrid search solutions, including vector ...

scope and impact of your work Although not essential, it would be great if you have practical experience with: Experience with Spring AI, LangChain, LangGraph, LlamaIndex, or similar AI application frameworks Familiarity with modern front-end technologies (such as React and Next.js). Python Kubernetes, Docker and CI/ ...

cloud platforms — such as Google Vertex AI Agent Builder, AWS Bedrock, or Azure OpenAI Familiarity with agentic AI frameworks and tooling — such as LangGraph, LangChain, LlamaIndex, or CrewAI — and how they are applied Experience with retrieval-augmented generation (RAG) architectures, vector databases, and LLM-powered applications as part ...

commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) - LLMOps/MLOps - model versioning, deployment ...

technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM‐powered systems and multi‐agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models ...

technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models ...