51 to 75 of 148 LangChain Jobs in London

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 ...

application development, with focus on cloud-based AI model integration, deployment, and optimization. Experience with AI/ML and agentic application frameworks such as LangChain, LangGraph, Pydantic Proficiency in advanced AI architecture patterns, including RAG, Agentic RAG, MCP, Function Calling, and A2A, especially in an Azure environment Good understanding ...

platforms (e.g., Agentforce, Copilot Studio). Knowledge of AI compliance requirements: GDPR, EU AI Act, SOC2, HIPAA. Open‐source or research contributions to LangChain, RAG, or Knowledge Graph communities. Location Preference UK – London Equal Opportunity Statement Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate ...

clearance Commercial experience building multi-agent or agentic AI systems in production Strong Python skills and hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns ...

infrastructure-as-code tools such as Terraform and Helm. Advanced/Specialist Expertise Experience building and deploying GenAI solutions using frameworks such as LangChain and Azure OpenAI. Development of enterprise-grade RAG (Retrieval-Augmented Generation) systems, including context engineering and multimodal data pipelines. Design and deployment of autonomous multi-agent ...

reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red‐teaming methodologies Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi‐agent orchestration and tool use Experience with multimodal AI systems (text, image, code, speech) and cross‐modal reasoning ...

with a track record of incremental, agile delivery.* Hands‐on development capability, including practical experience with Python and modern AI frameworks (e.g., LangChain, Semantic Kernel, or similar) to build or support agents, chat interfaces, or retrieval‐augmented solutions.* Experience applying software engineering fundamentals: writing tests, structuring user stories, managing iterative ...

distinct advantage. Extensive hands‐on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel). Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift . Demonstrated ability to architect ...

real-world tasks (text, code, image, multimodal generation) and familiarity with advanced prompt engineering, structured outputs, function/tool calling, and orchestration frameworks like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands‐on exposure to API-based LLM providers (Claude, GPT, Gemini) and open‐source solutions (Llama, Mistral). Agentic … Claude, Gemini, Llama, Mistral; multimodal and reasoning models; context windows, tokenization, fine‐tuning (LoRA/PEFT); RLHF/RLAIF concepts LLM application & agent frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel, Haystack, CrewAI, AutoGen Interoperability & integration: MCP, function/tool calling, structured outputs, API integration, event‐driven and orchestration patterns Cloud ...

Embeddings & Vector Search NLP MLflow/MLOps Experience deploying AI solutions into production Nice to Have Microsoft Fabric Azure AI Services Azure Machine Learning LangChain or LangGraph If you are interested, please APPLY . ...

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 ...

with an understanding of model capabilities and limitations—not just using AI to generate code. Highly desirable: EdTech or Education experience Java Terraform Kubernetes LangChain, Bedrock, SageMaker or similar GenAI tooling OAuth/JWT This is an excellent opportunity to join a global organisation at the forefront of AI innovation ...

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 ...

monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales ...

environments. Hands‐on command of modern AI stack: LLM APIs and fine‐tuning, vector databases, RAG, embedding pipelines, prompt engineering, and agent orchestration frameworks (LangChain, AutoGen, or equivalents). Practical exposure to agentic AI architecture, multi‐agent coordination, and MCP or similar frameworks. Experience with enterprise data platforms (Snowflake, Databricks ...

monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands‐on experience working with distributed Spark‐based systems. Experience with data engineering concepts or a good understanding of data engineering concepts. Pre‐sales ...

monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands‐on experience working with Distributed Spark based systems. Experience with data engineering concepts or a good understanding of data engineering concepts. Pre‐sales ...

Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI Hands-on experience working with Distributed Spark based systems. Experience communicating and teaching technical concepts to non-technical and technical audiences alike Passion ...

Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Guardrails AI Evaluation Frameworks Experience with AI frameworks such as Agent Development Kit (ADK), LangChain, LangGraph, CrewAI, or similar. Experience working with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Strong understanding of system reliability, observability, monitoring ...

Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration ...

shared internal service (multi-tenant). Bedrock/model-hosting and API gateway management. FinOps for AI (usage-based cost optimisation). LangGraph, LangChain understanding Accessibility We are committed to providing an inclusive and accessible recruitment experience. If you need adjustments at any stage of the application or hiring process ...

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 ...

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 ...

/AML automation, sanctions screening, or client onboarding flows Experience with event sourcing, domain-driven design, or service-based architecture Familiarity with LangChain, Haystack, or other agent frameworks; Infrastructure-as-Code (CDK/Terraform) and/or container orchestration with Kubernetes Whilst we carefully review all applications, to all jobs ...

production, understanding of deployment options and trade‐offs. Practical LLM experience: prompting, fine‐tuning or adapter methods, and building RAG systems. Orchestration: for example LangChain for pipelines/agents. RAG best practices and evaluation workflows (e.g., agentic/RAG patterns on SageMaker). Comfortable choosing the right technique ...