51 to 75 of 463 OpenAI Jobs in London

equivalent; Experience with vector databases and retrieval-augmented generation (RAG) patterns; Experience deploying and scaling LLM-powered applications using APIs such as OpenAI or Anthropic, or open-source models; Strong Python skills; Excellent communication skills and ability to explain complex technical concepts to diverse audiences; Proficiency in English, both written ...

Code and software engineering best practices. Tech StackTypeScript, React, Next.js, Node.js, Go, Python, AWS, Lambda, PostgreSQL, SQL, Supabase, API Development, AI, Machine Learning, LLMs, OpenAI, Claude, MCP, RAG, Serverless, CI/CD, Infrastructure as CodeWhat They're Looking ForStrong commercial experience as a Software Engineer, Full Stack Engineer, Full Stack ...

Python, SQL, and modern data science toolsets. Machine Learning and Predictive Analytics. Generative AI, LLMs, RAG, and Agentic AI frameworks. Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power BI. MLOps and model lifecycle management. Preferred Qualifications Experience ...

headless/decoupled architectures (React + REST APIs) and cloud migrations (Azure).AI & RAG Integration: Architect and prototype intelligent features leveraging generative AI models (OpenAI, Gemini, Claude) via agentic frameworks (LangGraph), multi-agent debate pipelines, and structured RAG/vector retrieval (PostGIS, ChromaDB).Performance & SLA Optimization: Troubleshoot and resolve complex ...

Python, SQL, and modern data science toolsets. Machine Learning and Predictive Analytics. Generative AI, LLMs, RAG, and Agentic AI frameworks. Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power BI. MLOps and model lifecycle management. Preferred Qualifications Experience ...

Strong automated testing experience using Pytest or equivalent. Experience with APIs, distributed services, Git, CI/CD, containers and production observability. Technical Skillset: Azure OpenAI, Azure AI Search or equivalent AI and enterprise search platforms. Pydantic AI, LangGraph, Semantic Kernel or similar orchestration frameworks. LLM and RAG evaluation approaches, with ...

cloud platforms, enterprise integration, security and identity management. Excellent stakeholder engagement and communication skills. Desirable ExperienceFinancial services or other highly regulated sectors. Azure OpenAI and enterprise GenAI platforms. Semantic search, vector databases and knowledge architecture. Microsoft Graph, SharePoint and collaboration platform integrations. Knowledge of AI governance, GDPR ...

data modelling Experience developing AI applications using Large Language Models (LLMs), including prompt engineering, RAG, vector databases, embeddings and commercial AI platforms (e.g. OpenAI, AWS Bedrock) Experience building scalable data products and analytics solutions Expert Power BI development, including semantic models and Power BI Service administration Expert Python development ...

Responsibilities**Build AI Systems* Design and implement production-grade systems powered by LLMs and modern AI frameworks* Develop applications using technologies such as:* OpenAI, Anthropic and other LLM APIs* LLM gateway* Vector databases* Agent orchestration frameworksImplement AI Infrastructure* Build and operate the infrastructure required to run reliable AI services, including ...

Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps , containerisation (Docker, Kubernetes ...

grade agentic and multi-agent systems Building RAG pipelines, including embeddings, chunking, vector search and context engineering Integrating LLM APIs across providers such as OpenAI, Anthropic, Vertex AI and open-source models Building orchestration, tool invocation, routing and memory capabilities Developing evaluation frameworks and measuring accuracy, latency, cost and safety ...

related field. Cloud, enterprise architecture, AI/ML, cybersecurity, or data platform certifications. Experience with platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, Kubernetes, vector databases, and MLOps/LLMOps tooling. Strong executive presence, technical storytelling, mentorship, stakeholder influence, and ability to simplify complex ...

enterprise settings.Understanding of enterprise architecture principles, target architectures, and design governance processes in large, regulated organisations.Exposure to AI and developer tooling such as OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar ecosystems.Behavioural CompetenciesStrong ownership and accountability for delivery outcomes.Clear, confident communication with both technical ...

architecture options, decision-support artefacts, and future-state technology roadmaps.2. Generative AI & Agentic AI SolutionsDesign and implement enterprise GenAI solutions using models such as:OpenAI GPTAzure OpenAIGoogle GeminiAnthropic ClaudeLlamaMistralArchitect Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge retrieval.Design Agentic AI and multi-agent frameworks to automate complex business processes.Implement Model ...

curiosity, continuous learning, and a collaborative mindset Understanding of GDPR and data governance Experience in insurance or financial services Familiarity with LLMs (e.g., GPT, OpenAI) Knowledge of infrastructure monitoring, backup, or disaster recovery What We Will Offer You Recognised and rewarded for a job well done, we have a range ...

data and technology awareness 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 platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/ ...

orchestration, multi-agent patterns and skills/plugin development. Experience with cloud-based AI, data, identity and governance services, ideally including Azure AI, Azure OpenAI, Microsoft Entra ID, Microsoft Purview, Microsoft Graph or comparable enterprise cloud services. Practical knowledge of AI governance, responsible AI and security, including data protection, identity ...

Document intelligence and GenAI applications Strong hands‐on experience with cloud‐native AI development onMicrosoft AzureandGoogle Cloud Platform (GCP), including services such as Azure OpenAI, Azure ML, Vertex AI, and Gemini. Demonstrated ability to lead cross‐functional engineering teams across front‐end and back‐end disciplines. In‐depth understanding ...

adoption of cloud first technologies; we are Azure based, with PostgreSQL and MongoDB as our primary data stores and a multi-provider LLM stack (OpenAI, Google Gemini and Anthropic). We want you to dive in, get your hands dirty, and figure things out, but also to be someone your ...

data and technology awareness 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 platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/ ...

powered applications, or multimodal systems — not just designing or advising on them Deep hands-on experience with the full GenAI delivery stack: LLM APIs (OpenAI, Anthropic, Google, open-source), vector databases, embedding models, orchestration frameworks (LangChain, LangGraph, AutoGen, or equivalent), and deployment infrastructure Experience across the full lifecycle from ...

About the Team The Platform Systems team at OpenAI operates at the intersection of cutting‐edge AI and large‐scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom‐built supercomputers. Our team develops core … deep in the stack – spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into ...

hours/week Rate: 291 PAYE/388 Umbrella Core Technical Stack Programming & APIs: Python, RESTful API development, JSON Schema, Pydantic. AI & LLMs: Gemini, OpenAI, Claude. Frameworks & Orchestration: Google ADK, LangChain, LangGraph. Data & Search: AWS OpenSearch (Indexing and Vector embeddings - Highly emphasized ), Database Architecture (Intermediate). Infrastructure: Public Cloud ...

hours/week Rate: 291 PAYE/388 Umbrella Core Technical Stack Programming & APIs: Python, RESTful API development, JSON Schema, Pydantic. AI & LLMs: Gemini, OpenAI, Claude. Frameworks & Orchestration: Google ADK, LangChain, LangGraph. Data & Search: AWS OpenSearch (Indexing and Vector embeddings - Highly emphasized ), Database Architecture (Intermediate). Infrastructure: Public Cloud ...

concept and deliver secure, scalable and production-ready AI solutions. Key experience required: Strong Python and backend engineering experience Hands-on experience with OpenAI and/or Anthropic Claude APIs Practical experience with prompt engineering and LLM application development Experience with RAG, embeddings and vector databases Google Cloud Platform experience ...