1 to 25 of 64 OpenAI Jobs in London

Engineering/Computer Science degree. Technical Skills Programming Languages: Python, Java, C++, C#, TypeScript, JavaScript Machine Learning: TensorFlow, PyTorch, Scikit-learn GenAI/LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes ...

deployments. Key Responsibilities: - Architect LLM-driven applications, GenAI platforms, and AI microservices. - Build and optimize Retrieval-Augmented Generation (RAG) architectures. - Integrate AI models using OpenAI GPT APIs, Hugging Face, and custom model endpoints. - Lead vector database adoption (MongoDB Atlas Vector Search, FAISS, Pinecone). - Design end-to-end AI pipelines ...

have relating to the below; System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation ...

pipelines Model fine-tuning (supervised/unsupervised) MLOps/LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph ...

least one modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices ...

/DL models, databases, ETL, and data pipelines. Experience with cloud (AWS/Azure/GCP) and MLOps. Expertise in generative AI & LLMs (OpenAI, Hugging Face, LangChain, vectors). Exceptional communicator and client‐facing collaborator. Preferred: Advanced degrees or relevant certifications. Experience with agentic AI tools and governance principles. Leadership ...

services Knowledge of agentic tools such as LangChain Agents, AutoGPT, and CrewAI, plus familiarity with GenAI/LLM integrations (e.g., Hugging Face, RAG, OpenAI) STEM background and clear communication skills — able to translate complex technical detail into clear, client-friendly insight Growth mindset and eagerness to evolve with 2026+ ...

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, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

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, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

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, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

tune LLMs, and integrate AI capabilities across platforms. About the Role Lead the design, implementation, and fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs 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, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

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, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

operational decision-making Leveraging large language models (LLMs) to enhance data exploration or automation Experience integrating Python analytics with Azure AI services (e.g. Azure OpenAI). Familiarity with modern data platforms (Azure Data Lake, Synapse, Snowflake, lakehouse architectures). Experience with predictive or prescriptive analytics beyond basic forecasting. Exposure ...

evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector ...

ambiguity Node.js, React, and TypeScript Python for AI workflows and automation Microservices and distributed system design Experience with AI/LLM frameworks (e.g. LangChain, OpenAI API, Vertex, LiteLLM) GCP experience and DevOps best practices (monitoring, observability, CI/CD) PostgreSQL and relational data modelling Event-driven systems (Pub/ ...

Generation), multi-agent systems and conversational agents. Strong programming skills in Python, Java or .NET. Experience with GenAI and LLMs (e.g. ChatGPT, Claude, Llama, OpenAI), including prompt engineering, fine tuning and advanced search. Familiarity with AI agent frameworks (e.g. Autogen AI) and digital assistant solutions such as Microsoft Copilot. Knowledge ...

assisted data preparation. Significant experience leveraging SQL and Python for data querying and automation; familiarity with AI/ML libraries or APIs (e.g., OpenAI, scikit-learn, or similar) is preferred. Experience with visualization tools such as Tableau, Power BI, or AI-augmented BI tools (e.g., Tableau Pulse, Power BI Copilot ...

cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated testing ...

cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated testing ...

related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave ...

calling frameworks Strong Python skills with experience building production-grade systems Experience working across at least one major cloud AI ecosystem (e.g. Azure/OpenAI, GCP/Vertex, AWS, Anthropic) Familiarity with semantic modelling, ontologies, or knowledge graph concepts Proven ability to rapidly prototype solutions for client validation Experience working ...

tool-calling frameworks Strong Python skills with experience building production-grade, regulated systems Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic) Familiarity with semantic modelling, ontologies or knowledge graph concepts, ideally applied to complex domains Proven ability to rapidly prototype ...

entries with lineage. Implement tracing for observability, manage latency and cost SLOs, and set alerts for hallucination and safety incidents. Develop provider abstractions for OpenAI, Gemini, Azure OpenAI, and Vertex, including capturing provider/region, model/version, and quota routing. Schedule index rebuilds, freshness windows, incremental sync, and manage … semantic search, text classification, and summarisation. Strong understanding of Large Language Models (LLMs) and Generative AI (GAI), with hands-on experience in LangGraph, LlamaIndex, OpenAI APIs, and Model Context Protocol (MCP). Knowledge of statistics, probability, and model evaluation techniques. experience with Retrieval-Augmented Generation (RAG) and vector databases like ...

Python/TypeScript) with 3+ years in a leadership role. Tech Stack: Extensive hands-on Azure experience and deep practical knowledge of LLMs (Claude, OpenAI, Gemini). Innovation: Practical understanding of MCP (Model Context Protocol) and tool-calling for LLMs. Domain: Proven experience with financial data . Familiarity with trading ...