76 to 100 of 232 LangChain Jobs in the UK

deployment and 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 search ...

Docker, Helm, KubeFlow, and service meshes (e.g., Istio).Hands-on experience with Terraform, Ansible, GitHub Actions, ArgoCD, or Jenkins.Experience with vLLM, Ray, MLflow, LangChain/LangSmith, DeepSpeed, or Hugging Face TGI.Solid background in AWS/GCP/Azure, Kubecost, and GPU cost optimisation techniques.Strong skills in Python, Bash ...

Snowflake, Microsoft Fabric, or similar.Experience designing and implementing Generative AI solutions, including LLMs, AI agents, and RAG architectures.Familiarity with modern AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent.Experience building and integrating APIs, data pipelines, and scalable cloud-native applications.Strong analytical thinking and problem-solving capabilities.Ability to balance ...

Proven ability to lead engineering teams in agile, client-facing delivery contexts AI, data and technology awareness Deep practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud ...

fast-paced environment.Excellent communication skills, sound engineering judgment, and a collaborative working style.Nice to haveExperience with multi-agent frameworks or orchestration systems such as LangChain, AutoGen, or Semantic Kernel.Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter.Familiarity with ML/DL frameworks ...

implementation strategy, and partner with engineering, data, DevOps and business teams to deliver end-to-end solutions.Tech environmentPython, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure.What we're looking forProven enterprise ...

exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps familiarity expected. Strong communication and stakeholder ...

exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps familiarity expected. Strong communication and stakeholder ...

exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps familiarity expected. Strong communication and stakeholder ...

equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama ...

platforms (e.g. Agentforce, Copilot Studio) Knowledge of AI compliance requirements: GDPR, EU AI Act, SOC 2, HIPAA Open-source or research contributions to LangChain, RAG, or Knowledge Graph communities Location preference:UK - LondonUniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard ...

complex data platforms. AI & Engineering Mastery: Deep technical expertise in Python or Go, semantic search, vector databases (e.g., Pinecone, Milvus, pgvector), orchestration frameworks (LangChain, LlamaIndex), and fine-tuning or prompt engineering of state-of-the-art Large Language Models (LLMs). Extreme Ownership: High-agency mindset. You don’t wait ...

authentication and distributed systems within enterprise environments.And any experience of these would be greatExposure to Generative AI and Agentic AI frameworks such as LangChain, ADK or similar technologies.Experience configuring and optimising Large Language Models (LLMs), balancing performance, risk and cost considerations.Experience partnering with architecture, platform, governance and risk teams ...

authentication and distributed systems within enterprise environments.And any experience of these would be greatExposure to Generative AI and Agentic AI frameworks such as LangChain, ADK or similar technologies.Experience configuring and optimising Large Language Models (LLMs), balancing performance, risk and cost considerations.Experience partnering with architecture, platform, governance and risk teams ...

prompt engineering.Knowledge of various RAG pipelines and their practical implementation.Experience building Agentic RAG systems is strong requirement.Experience with AI agent management frameworks such as LangChain, or similar tools.Experience with advanced algorithms in deep learning, neural networks, reinforcement learning, and transfer learning.Familiarity with traditional machine learning algorithms such as random forests ...

PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. ...

automated ingestion, parsing, and validation of unstructured documents, ensuring accurate routing of documents to appropriate business workflows.Familiarity with workflow orchestration frameworks (such as LangChain, LangGraph, or equivalent) to automate end-to-end document processing pipelines, including document routing, exception handling, and integration with downstream systems.Understanding of optical character recognition ...

experience with popular AI/ML libraries such as TensorFlow, PyTorch, scikit-learn. Familiarity with Generative AI and/or machine learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure ...

science libraries (NumPy, Pandas, scikit-learn) and applying object-oriented programming principles to develop efficient, scalable solutionsHands-on experience experimenting with Generative AI (e.g. LangChain, Hugging Face, LlamaIndex).Experience working with Azure data & AI services such as Azure Machine Learning, Foundry etc.Practical experience working in Agile environments and contributing ...

experience with popular AI/ML libraries such as TensorFlow, PyTorch, scikit-learn. Familiarity with Generative AI and/or machine learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure ...

Product, CIO and wider CDO organisations, and Internal Audit.Technologies You'll Work With• LLMs and agentic frameworks• RAG architectures• AI agents and orchestration (e.g. LangChain/LangGraph)• Python and modern data engineering• Snowflake and governed semantic layers• AWS/GCP cloud services• Vector databases• Data pipelines and MLOps tooling• Business ...

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 ...

MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie ...

MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie ...

MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie ...