151 to 175 of 406 LangChain Jobs in the UK

lerna), infrastructure-as-code technologies (eg Terraform), multi application deployment pipelines, frontend development framework (eg React, Angular, Svelte) Multi-agent orchestration tooling (LangGraph, LangChain, PocketFlow), evaluation of prompts, agents and pipelines in multi-agent solutionsNeo4J or a similar knowledge graph database technologyAbcam, a Danaher operating company, offers a broad array ...

Data Science, or a related STEM discipline, or equivalent professional experience. Strong experience developing AI solutions using Python and modern AI frameworks such as LangChain or similar technologies. Deep understanding of LLM architectures, Generative AI, Agentic AI concepts, RAG frameworks, embeddings, and prompt engineering. Experience designing and deploying solutions ...

Master's degree. Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Exposure to agentic or LLM‐based systems, and curiosity about the eval, observability, and rollback story that takes ...

human-in-the-loop review. Strong programming and data skills, including Python, SQL, and tools/libraries used in agentic development like langgraph, langchain, Pydantic models, NumPy, FastAPI/MCP, etc. Ability to work with APIs, JSON, MCPs, Git or version-controlled artifacts, and lightweight automation or prototyping workflows. Excellent ...

reasoning loops, tool-use, planning, and memory patterns. Hands-on experience (or strong aptitude to learn) building or integrating agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI , or the Model Context Protocol (MCP) . Ability to design and expose backend services as tools/functions callable by AI agents ...

related certifications.* TM Forum Open API certification.**Nice-to-Have Qualifications*** Experience with Google Vertex AI, Gemini APIs, BigQuery, or similar platforms.* Experience with LangChain, LangGraph, MCP, or agentic AI execution frameworks.* Experience with ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, Cisco NSO, Juniper Paragon, or similar orchestration platforms.* Experience building secure ...

beneficial but not required. Exposure to generative AI application development, including LLM APIs, agentic workflows, retrieval, vector databases, or agent frameworks such as LangChain, LangGraph, or AutoGen. Familiarity with AI-assisted coding tools such as Claude Code, Codex, or similar, with the ability to validate and understand AI-generated code.#Li ...

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 ...

lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. A solid understanding of LLMs for natural language processing applications, including topics such as embeddings ...

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 ...

lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. A solid understanding of LLMs for natural language processing applications, including topics such as embeddings ...

microservices cloud environment. Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Prior experience taking agentic or LLM‐based systems to production — not just prototypes — including the eval, observability ...

Skills 12+ years of hands-on backend software engineering experience. Support the organisation's AI adoption journey. Develop and enhance intelligent solutions using LLMs, LangChain/LangGraph, and agentic AI frameworks. Establish engineering best practices for safe, scalable, traceable and production ready AI deployments across internal platforms and external product ...

microservices cloud environment. Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Experience contributing to agentic or LLM-based systems in production, including familiarity with the eval, observability, and rollback ...

native software in production environments Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring Platform mindset ...

native software in production environments Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring Platform mindset ...

learning operations and large language model operations lifecycles. Machine learning and large language model services from other cloud providers, or orchestration frameworks such as LangChain or LlamaIndex. Document and image analysis services, including tools for extracting, interpreting and structuring content. Agent-based AI architectures and interoperability protocols. Building Azure-native ...

applications Agentic AI, AI agents, intelligent assistants and AI-enabled automation Prompt engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand ...

Conversant with modern Gen AI development techniques and tooling such as advanced prompt engineering, structured outputs, function/tool calling, and orchestration frameworks like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands-on exposure to both API-based (e.g., Claude, GPT, Gemini) and open-source (e.g., Llama, Mistral) LLM-based solution … Proficiency in programming languages commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar tools, along with modern LLM/agent frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen). Experience with cloud AI platforms (e.g., Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI), vector databases ...

Bring Strong Python development experience building production AI applications. Proven experience developing Agentic AI, LLM and RAG solutions. Experience with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen or similar. Experience with Microsoft Azure, including Azure AI Foundry, Azure OpenAI Service and Azure AI Search. Understanding of LLM evaluation ...

maintainable. Required Technical Skills AI & Generative AI Azure OpenAI Services GPT/LLM models RAG Prompt Engineering AI Agents/Agentic AI Semantic Kernel LangChain and/or LangGraph Microsoft Technologies Microsoft Copilot Microsoft Copilot Studio Power Automate Power Apps Microsoft Teams SharePoint Online Microsoft Graph API Azure AI Services ...

/ML and Agentic solutions, with a strong focus on Generative AI in production environments Deep understanding of AI/ML frameworks (e.g., Langchain, Semantic Kernel/Agents Framework, TensorFlow, PyTorch, Hugging Face with a preference for Agentic frameworks) and model lifecycle management Hands‐on experience with cloud platforms (Azure ...

LLMs and Agentic AI Building AI agents/agentic workflows AWS Bedrock, Azure OpenAI or comparable enterprise LLM platforms Agent frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or similar RAG, tool/function calling and grounding LLMs against enterprise data Prompt and agent instruction design LLM evaluation, guardrails ...

delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration. Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems. Integrating AI into products, APIs and core business workflows - with a sharp eye on latency ...

embeddings AI workflow automation Python, C# and/or TypeScript APIs and system integration SQL/databases Cloud platforms, particularly Azure Frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or similar Most importantly, you will be someone who understands how to turn AI capabilities into robust, commercially useful software. ...