51 to 75 of 489 OpenAI Jobs in London

GitOps via Argo CD and Flux Cloud & Orchestration: AWS, Azure, Docker, Kubernetes AI Inference & Application Infrastructure: Frontier and open-weight models via Anthropic, Azure OpenAI, and Amazon Bedrock; model gateways and routing, retrieval and hybrid search, document ingestion, tool/function calling, Model Context Protocol (MCP), and agent orchestration ...

stakeholders. Desirable skills and experience Experience with Databricks Jobs, Workflows, Asset Bundles, Apps, and medallion‐style data architectures. Experience with Azure AI Foundry, Azure OpenAI, LLM‐based application development, or agent SDKs and frameworks. Experience with MLflow, model lifecycle management, evaluation, tracing, and AI observability. Experience with containers, Docker, Kubernetes ...

that you learn quickly. Why Indicium AI Access to leading AI Labs: Anthropic’s first European launch partner. One of the first four OpenAI UK partners. Databricks Ventures invested and on our board. Our engineers work with capabilities before the wider market does and work jointly with teams from leading ...

etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science, computer science, applied mathematics or otherwise research-based field What Would ...

etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science, computer science, applied mathematics or otherwise research-based field What Would ...

Technology Expertise Strong software engineering experience using C# and .NET . Hands-on experience with Azure services, including: Azure Functions Azure App Service Azure OpenAI Service Azure AI Foundry/AI Studio Experience integrating with Microsoft business platforms such as: Dynamics 365 Dataverse Microsoft Graph Power Platform Knowledge of Azure ...

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/ ...

cleansing, transformation, embedding, indexing and retrieval pipeline design. Integration across cloud AI services (e.g. GCP + Vertex AI , Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API‐led landscape; with preference for GCP and Vercel , or suitable equivalents on AWS and Azure, and the capability ...

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 platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/ ...

testing and monitoring quality in production. Practical knowledge of embeddings, vector search and hybrid retrieval. Experience deploying AI workloads on Azure, for example Azure OpenAI/AI Foundry, Azure AI Search and Functions or Container Apps. Experience with Databricks (MLflow, Delta Lake, model serving). Solid ML fundamentals; exposure ...

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 ...

what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures through our own Genie Platform – enabling ...

what works, what scales, and what’s next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures through our own Genie Platform – enabling ...

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 platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/ ...

large enterprise codebases you will drop into (C#/.NET, Java) Model providers: hands‐on production work with at least 2 of Anthropic, OpenAI, Google, and open-weight models (direct APIs or via Azure AI Foundry, Bedrock, Vertex); tool use and function calling, structured outputs, context and token management, prompt ...

humans to agents that can plan, execute, and adapt in the real world. Mitigating the frontier risks resulting from these capabilities is paramount to OpenAI's ability to continue deploying models safely. The Preparedness team is dedicated to addressing these critical risks. Our work includes: Measurement. Monitoring and predicting … alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. Coordination. Setting mitigation targets by maintaining OpenAI's preparedness framework, and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications ...

About the Team Our Executive Business Partners serve as trusted advisors and collaborators to OpenAI’s executives and leaders, bringing strong communication, sound judgment, and operational excellence to their teams. We elevate leadership impact by anticipating needs, streamlining processes, and providing comprehensive support so our leaders can focus on their … highest-impact priorities. Through strong relationships and a deep understanding of business objectives, we help teams navigate complexity, achieve key milestones, and contribute to OpenAI’s growth and success. Our leadership team reflects OpenAI’s culture and core values and is a mission-driven, kind, and thoughtful group. We take ...

This includes complex queries, joins, indexing, and query optimization. Desirable Skills: Knowledge of NoSQL databases (MongoDB, DynamoDB) Exposure to Generative AI and LLM integration (OpenAI, Claude, Bedrock) in enterprise applications, including building RAG solutions with embeddings and vector databases. Familiarity with Spring AI or LangChain/LangChain4j, prompt engineering best ...

traffic volumes and large datasets Strong understanding of frontend performance, monitoring, and observability Experience working within Agile delivery teams Desirable Azure AI Services Azure OpenAI Agentic AI frameworks Azure Container Apps Azure Kubernetes Service (AKS) Infrastructure as Code Experience with AWS cloud platforms Exposure to enterprise-scale AI transformation programmes ...

delivery Experience with deploying applications to cloud platforms ( eg GCP ) and Kubernetes Experience with generative AI concepts, frameworks and models ( eg. Langchain, OpenAI) Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team We’d be Lucky ...

curious mindset, with a passion for staying ahead of developments in the rapidly evolving AI landscape. Desirable Experience with Azure AI services, Azure OpenAI, AI Foundry or similar platforms. Experience designing and implementing Retrieval‐Augmented Generation (RAG) solutions. Experience with agentic AI workflows and orchestration frameworks. Experience working ...

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 ...

permanent in-house team as it forms. Required Experience: Azure is mandatory: hands-on architecture experience with Azure AI Foundry/Azure OpenAI, API Management as a model gateway, Azure AI Search, Entra ID and core landing-zone services. Proven track record architecting enterprise GenAI and agentic systems in production ...

Bonus points: AI engineering: Pydantic AI, LiteLLM, LangChain, MCP servers Knowledge and retrieval: RAG, search, embeddings, knowledge graphs Evals and safety: Inspect AI, Ragas, OpenAI Evals, NeMo Guardrails, red teaming Platform: Kubernetes, sandboxed or cloud dev environments, AWS Bedrock Backend: Django Observability: Datadog, OpenTelemetry Are you ready for a career ...

Cloud Platform, covering a broad range of Azure resource types including AI Foundry 3+ years experience working with frontier AI tools and models, including OpenAI, Claude and Gemini families Hands on experience with DevOps implementing CI/CD pipelines, incorporating LLMOps/MLOps. Knowledge of Github Actions strongly preferred Hands ...