1 to 25 of 163 Remote/Hybrid OpenAI Jobs in London

Prompt Engineering and Prompt Optimization* Model Evaluation and Observability Frameworks* LLM Fine-tuning and Adaptation Techniques* Hands-on experience with Azure AI Foundry, Azure OpenAI Service, Model Context Protocol (MCP), and modern AI orchestration frameworks.* Strong programming skills in Python, with experience developing scalable APIs, AI services, and automation solutions. ...

prompt engineering, tool and function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with one of Azure, OpenAI, AWS Bedrock, Claude; Kubernetes and cloud-native deployment. LLMOps & evaluation : CI/CD for AI, automated evals, experiment tracking, observability, model lifecycle management. Responsible ...

OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software development lifecycle—transforming how teams plan, build, test, review, and deliver software. … security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real-world deployment experience into high-signal product and model feedback. Success is measured ...

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments … successful demonstrations. This is a rare opportunity to work on consequential real‐world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation ...

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software development lifecycle—transforming how teams plan, build, test, review … security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real‐world deployment experience into high‐signal product and model feedback. Success is measured ...

RequirementsProficiency in at least one programming language. I.e Python, C#, JavaScript, Kotlin, Java, Go.. Experience with Gen AI tools (e.g LangGraph, CrewAI, Hugging Face, OpenAI APIs etc)Experience in building and optimising systems for performance, scalability, and reliability Understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges (prompt ...

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 ...

Search and MongoDB, including design of indexing strategies, hybrid search configurations, and retrieval evaluation. Work within our Azure cloud environment, integrating with Azure OpenAI, Azure services, and our broader data platform. Collaborate with product managers, data scientists, engineers, and other stakeholders to scope and deliver AI features that address real … enabled software systems. Strong proficiency in Python, including building and shipping production backend services. Hands-on experience building applications with LLMs such as Azure OpenAI, OpenAI, Anthropic, or similar. Experience with FastAPI or comparable Python web frameworks. Production experience with Docker and Kubernetes, including deployment and management on AKS. Strong ...

strategies like planner/executor and tool callingKnowledge of MCP, A2A protocols, and OpenAPI-based integration methodsStrong experience with cloud environments, ideally Azure (Azure OpenAI, AI Foundry, AI Search)Competence in containerized deployments, CI/CD, and MLOps tooling (MLFlow, Airflow)Experience with Microsoft Agent Framework, Azure AI Agent ServiceKnowledge ...

enterprise integration technologies including APIs, Middleware, ESB or iPaaS platforms. Hands‐on experience integrating internal and third-party systems. Azure cloud experience, including: Azure OpenAI Azure AI Foundry Azure App Services Azure Functions Azure Kubernetes Service (AKS) Azure API Management Azure Networking & Security Experience with GitLab CI/ ...

Proficiency in at least one programming language. I.e Python, C#, JavaScript, Kotlin, Java, Go.. Experience with Gen AI tools (e.g LangGraph, CrewAI, Hugging Face, OpenAI APIs etc) Experience in building and optimising systems for performance, scalability, and reliability Understanding of ML fundamentals (training, evaluation, deployment) and LLM‐specific challenges (prompt ...

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 ...

agent systems and agent orchestration patterns. Familiarity with LLM observability tools (LangSmith, Langfuse, Arize, or similar). Experience working with multiple model providers (Anthropic, OpenAI, open-weight models) or with fine-tuning. Hands-on experience with Terraform, Kubernetes, or infrastructure-as-code tooling. Experience with observability platforms like Datadog. Distributed ...

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 ...

ingestion, 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 ...

Nice to have skills Asset management or financial services domain knowledge, particularly the investment process, distribution, or front‐office workflows. Azure AI Foundry, Azure OpenAI, Anthropic Claude, model gateways, inference routing, or agent orchestration platforms. Snowflake, Microsoft Fabric/OneLake, or comparable governed enterprise data platforms. TypeScript or a second ...

Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging ...

ideally have strong experience across a combination of: Generative AI, LLMs and Agentic AI Building AI agents/agentic workflows AWS Bedrock, Azure OpenAI or comparable enterprise LLM platforms Agent frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or similar RAG, tool/function calling and grounding LLMs against ...

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 ...

production environments. Demonstrable experience successfully designing and launching multiple enterprise GenAI implementations beyond proof-of-concept stage. Strong expertise in LLM ecosystems including OpenAI, Anthropic, Gemini, and related model platforms. Hands-on experience with RAG architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph, AutoGen, and CrewAI. Proven ...

plan creation, coding agents, automated code review, gated workflows and audit evidence. Exposure to platforms and tools such as Microsoft Foundry, Azure AI, Azure OpenAI, GitHub Enterprise, GitHub Actions, Claude, CodeRabbit, Microsoft Entra ID, Intune, Purview, Azure Monitor or similar enterprise tooling. Experience working with fintechs, hyperscalers, technology partners, analyst ...

plan creation, coding agents, automated code review, gated workflows and audit evidence. Exposure to platforms and tools such as Microsoft Foundry, Azure AI, Azure OpenAI, GitHub Enterprise, GitHub Actions, Claude, CodeRabbit, Microsoft Entra ID, Intune, Purview, Azure Monitor or similar enterprise tooling. Experience working with fintechs, hyperscalers, technology partners, analyst ...

plan creation, coding agents, automated code review, gated workflows and audit evidence.* Exposure to platforms and tools such as Microsoft Foundry, Azure AI, Azure OpenAI, GitHub Enterprise, GitHub Actions, Claude, CodeRabbit, Microsoft Entra ID, Intune, Purview, Azure Monitor or similar enterprise tooling.* Experience working with fintechs, hyperscalers, technology partners, analyst ...

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 ...

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 ...