About the Team OpenAI's Media Partnerships team collaborates with the world's leading media companies to explore innovative AI strategies and OpenAI product opportunities. We focus on delivering sustainable value through close partnerships and internal collaboration. Our mission is to foster strong relationships within the media industry and effectively communicate OpenAI's vision, values, and innovations. About the Role … Partner Manager, you'll build and nurture relationships with our news publishing partners through 1:1 interactions, industry programs, and other partnerships. You'll focus on building trust around OpenAI's mission, defining product collaboration opportunities, and educating on OpenAI's technology. You'll spend time with media organizations and understand their process, motivations, challenges, and professional landscape. You will … facilitate a feedback loop between OpenAI and the news industry, effectively communicating our mission, vision, and goals while seeking feedback and sharing insights to inform product development and policy decisions. You'll be responsible for building and executing strategies that cross an evolving number of industries. This role is based in London, England. We use a hybrid work model of More ❯
with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus. Collaboration and impact: Strong problem-solving ability, intellectual curiosity, and a pragmatic approach to delivering solutions More ❯
with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus. Collaboration and impact: Strong problem-solving ability, intellectual curiosity, and a pragmatic approach to delivering solutions More ❯
AI Engineer with a strong backend foundation (70%) and frontend expertise (30%) to design, build, and scale AI-driven applications. You’ll work on next-generation AI solutions leveraging OpenAI, Azure OpenAI, Claude (Anthropic) , LangChain , LangGraph , and MCP (Model Context Protocol) to orchestrate intelligent agent workflows, implement RAG (Retrieval Augmented Generation) pipelines, and integrate with vector databases and voice processing … develop, and maintain backend services using TypeScript (Node.js) and C# (.NET Core) . Implement intelligent AI pipelines using LangChain , LangGraph , MCP , and RAG frameworks. Integrate and optimize LLM APIs (OpenAI, Azure OpenAI, Claude, etc.) for production-grade use cases. Work with PostgreSQL Vector databases for embedding storage and similarity search. Develop modular and responsive React frontends for AI-driven user … APIs. Solid understanding of asynchronous programming and microservices. Frontend (30%) : Proficiency in React (TypeScript preferred). Experience with modern UI frameworks and responsive design. AI & Data Tools: Experience with OpenAI and Azure OpenAI APIs. Knowledge of Claude (Anthropic) models and integration. Hands-on experience with LangChain , LangGraph , RAG , and MCP (Model Context Protocol) . Familiarity with vector databases (PostgreSQL Vector More ❯
e.g., PyTorch, TensorFlow, scikit learn). Hands on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/Mistral via vLLM/TGI/Ollama). Proficient with front end Frameworks such as Angular for integration of AI More ❯
design, asynchronous programming, and integration patterns. Hands-on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/Mistral via vLLM/TGI/Ollama). Proficient with Front end Frameworks such as Angular, for integration of AI More ❯
intelligent agentic systems and generative AI solutions that drive business transformation and enhance user experiences Key Responsibilities Architect and implement scalable AI solutions using Azure AI Services including Azure OpenAI Cognitive Services and Azure Machine Learning Design and develop agentic AI systems leveraging frameworks like LangChain LangGraph Autogen and Semantic Kernel Build and finetune Generative AI models using Azure AI More ❯
ML models within a production environment. Familiarity with common AI/ML concepts (e.g., supervised/unsupervised learning, NLP, computer vision fundamentals). Experience working with AI APIs (e.g., OpenAI, Google Cloud AI, AWS AI Services) or integrating with custom-built models. Understanding of data processing for AI/ML applications and data pipeline considerations. Knowledge of Python for AI More ❯
applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux More ❯
applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux More ❯
AI solutions. This role requires deep expertise in enterprise architecture, AI systems design, and cloud-native platforms (specifically Microsoft Azure, leveraging services like Azure AI Studio/Foundry, Azure OpenAI, Databricks). Collaborate with C-suite executives, Directors, Business & technology stakeholders, data scientists, and engineering teams to ensure that AI initiatives are scalable, secure, ethically sound, and aligned with Ecolab More ❯
with core enterprise platforms (e.g., ERP, CRM, Data & Analytics). Technology Leadership & Delivery Oversight Evaluate and select AI engineering frameworks (e.g., LangChain, AutoGen) and platform components within Azure (Azure OpenAI, Azure AI Studio/Foundry, Databricks). Lead architecture across the full delivery lifecycle, supporting engineering teams through build, deployment, testing and productionisation using AIOps and LLMOps best practices. Data More ❯
strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of More ❯
strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of More ❯
strategy. Key Responsibilities * End-to-end development of AI/ML solutions. * MLOps practices: CI/CD, model monitoring, retraining. * Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). * Generative AI features: embeddings, RAG, AI agents. * Clean, testable code with modern engineering practices. * Align with enterprise architecture and governance. * Collaborate with architects and stakeholders. * Lifecycle management of More ❯
frameworks, advanced ML models, and emerging AI tooling Evaluate and integrate third-party APIs and open-source frameworks Develop reusable components and reference architectures Collaborate with partners including Microsoft, OpenAI, Anthropic and others Share knowledge, mentor engineers, and help embed AI-first thinking across teams This isn’t a research-paper role. It’s hands-on, practical, and focused on More ❯
About the Team Security is at the foundation of OpenAI's mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI's technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our … tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer you will join our OpenAI engineers and researchers in building, operating and securing transformational AI technologies. This role will focus on all aspects of Detection & Response, including infrastructure and operations, and will also contribute to … all major security verticals including: AppSec, InfraSec, OffSec and Detection and Response Innovate to solve novel security problems Collaborate on cutting-edge AI research, and use AI to improve OpenAI's Security posture This role is based in London, UK. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new More ❯
new techniques in AI orchestration and agentic reasoning What We’re Looking For Proven experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem More ❯
City of London, London, United Kingdom Hybrid/Remote Options
develop
new techniques in AI orchestration and agentic reasoning What We’re Looking For Proven experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem More ❯
LangChain, LangGraph, or CrewAI. Develop microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone, PGVector). Deploy solutions using AWS or Azure, Docker, Kubernetes, and Terraform. Implement CI/CD pipelines and monitor LLM performance using More ❯
LangChain, LangGraph, or CrewAI. Develop microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone, PGVector). Deploy solutions using AWS or Azure, Docker, Kubernetes, and Terraform. Implement CI/CD pipelines and monitor LLM performance using More ❯
.NET, or Python for AI-driven solutions and automation. Experience in AI solution integration and API development (REST, GraphQL). Hands-on experience with Azure cloud services, including Azure OpenAI, AKS, and Azure Container Apps. Strong knowledge of SQL and NoSQL databases (Azure Cosmos DB, PostgreSQL) and cloud storage. Familiarity with microservices, event-driven architecture, and containerization (Docker, Kubernetes). More ❯
Langthwaite Grange Ind Estate, South Kirkby, Pontefract, West Yorkshire, England, United Kingdom
QA
involved in strategic areas of applied AI, including: Agentic AI for process optimisation Research and prototype autonomous AI agents to enhance workflow efficiency Explore orchestration frameworks (e.g. LangChain, CrewAI, OpenAI Assistants) Design intelligent tools to support high-volume or time-critical operations Real-time accessibility Develop live captioning and transcription systems to support inclusive services Work with ASR technologies (e.g. More ❯
Copilot Lead, Azure OpenAI, Copilot Studio, Microsoft Fabric, Microsoft Graph, Azure Cognitive Services, Databricks, Power Platform, AI Builder, Power Automate, Dynamics 365 (F&O/CE/BC), LLMs, agentic AI, product ownership, roadmap, backlog, MLOps, Responsible AI, data governance, rapid prototyping, commercialisation, £75,000 - £80,000 per annum Copilot Lead - Join a trusted Microsoft Partner specialising in business and More ❯
