51 to 75 of 147 OpenAI Jobs in London

misuse capabilities in sensitive areas, such as CBRN, cybersecurity and international security, for several leading frontier model developers and national safety institutes; notably, our work has been featured in OpenAI's system card for o1. Our commitment also extends to conducting fundamental technical research on mitigation strategies, with our findings published in peer-reviewed conferences and delivered to national security More ❯

with serverless/event-driven architectures. Experience designing scalable, low-latency data services. Exposure to Datadog or CloudWatch monitoring tools. Nice to Have: Experience with LLM-powered applications or OpenAI APIs . Professional experience in a similar environment or high-scale system. Key Roles and Responsibilities: Own Data Solutions – Design, build, and operate cloud-native, high-throughput data pipelines and More ❯

spent Q4 2024 in San Francisco at HF0, the best AI startup accelerator in the world, learning from experts like the CEO of Instacart, Head of Applied Research at OpenAI and the Co-founder of Snowflake. We're now at the stage of hypergrowth and are looking for the best of the best. What we value: We believe small, passionate More ❯

impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission. We bring expertise from OpenAI, NASA, and McKinsey, and we're backed by the best venture funds in the world. We can't wait to have you on board. Equal Opportunities Statement Magentic is committed More ❯

digital transformation programmes; working and present across different levels of architecture abstraction; and working with multi-disciplinary teams Have interest or experience with key Technology Platforms across AI solutions (OpenAI, AWS), Cloud (Azure, AWS, Google), Supply Chain (O9, BlueYonder, Kinaxis), CRM (Dynamics, Salesforce), Data (Palantir, Snowflake), ERP (SAP S4) or others. Have proven stakeholder management and communication skills, leveraged to More ❯

initiatives that enhance deployment, configuration management, and CI/CD workflows, and Employee Lifecycle Operations. As we grow, our team is committed to championing GitOps and automation, significantly advancing OpenAI's capabilities in managing cloud and on-premise environments. Success in this role will rely heavily on expertise in system administration, scripting, automation, and proficiency with tools such as Terraform … are deeply familiar with GitOps practices and CI/CD tools such as GitHub Actions, GitLab CI/CD, or Jenkins to enhance operational stability and release velocity. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems … the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We More ❯

team of GenAi Developers Python (FastAPI), Typescript (Express) or similar Frontend Development: React, Next.js, or Vite GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama Cloud: AWS or Azure Containerisation Bonus Points: Experience in building Proof of Concepts (POCs) Client engagement or business development experience Your Responsibilities: Lead a small team More ❯

will involve solving abstract problems and utilizing modern AI tools and models across the entire data and engineering stack. Tech Stack AI Engineering: Python, LangChain, LlamaIndex, LangGraph AI Models: OpenAI, Anthropic, Gemini, Custom Models Data Tools: DBT, BigQuery Databases: PostgreSQL, OpenSearch, Redis Product Engineering: TypeScript (Full-stack) Infrastructure: Serverless, AWS, Google Cloud, GitHub Actions Requirements Strong academic background in a More ❯

Optimise and scale machine learning models for performance and efficiency, leveraging best practices in AI engineering. Integrate using Microsoft Graph API or prebuilt plugins Requirements Strong experience with LLMs (OpenAI, Mistral, Claude, etc.) Built with tools like LangChain, OpenRouter, or function-calling agents Solid with Next.js, Node.js, or Python (we're flexible) Some experience (or curiosity) around regulated workflows and More ❯

and community. Engineering Design, develop, and optimize AI/ML features in Qdrant's core engine and SDKs. Prototype and implement integrations with popular ML frameworks (e.g., Hugging Face, OpenAI, LangChain). Analyze performance, identify bottlenecks, and implement scalable solutions in real-world AI pipelines. Collaborate with product and engineering teams to define and deliver impactful features. Community & Customer Engagement More ❯

developing services and applications for a Linux environment Strong programming fundamentals and debugging skills Bonus Qualification Experience with using virtualization, Docker containers, container registry repositories and Kubernetes Experience integrating OpenAI compatible LLM APIs into an application Demonstrable experience in working with LLMs and other machine learning models Experience with cloud deployment and application development using Amazon Web Services Familiar with More ❯

and develop modern, responsive front-end applications from the ground up using React, TypeScript, and Next.js. Build secure, performant user interfaces that integrate with LLM APIs (e.g., Gemini, Azure OpenAI) and internal systems. Implement advanced front-end security features, including token handling, session management, data masking, and audit logging. Translate UX/UI designs into modular, reusable components aligned with More ❯

and develop modern, responsive front-end applications from the ground up using React, TypeScript, and Next.js. Build secure, performant user interfaces that integrate with LLM APIs (e.g., Gemini, Azure OpenAI) and internal systems. Implement advanced front-end security features, including token handling, session management, data masking, and audit logging. Translate UX/UI designs into modular, reusable components aligned with More ❯

strong software engineer with deep experience in Python, API design, and distributed systems architecture. You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch. You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems More ❯

class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more. Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services. Performance: 4x ARR in 2024. Competitive compensation. Role Overview As a Mid Market Customer Success Manager at Harvey, you More ❯

the upside of an ultra-growth venture. Have fun Apply if: You have experience with our stack: Python, FastAPI, Postgres, SQLAlchemy, Alembic, Typescript, React, LlamaIndex/LangGraph, PyTorch, HuggingFace, OpenAI, Docker, Azure, You have taken entire products or features from ideation to deployment and you've measured their impact. You enjoy diving deep into the domain, understanding the problem, and More ❯

science roles with production responsibility. Proficiency in Python, with experience building and maintaining AI systems, not just analyses. Experience working in Java or TypeScript environments beneficial. Experience with Claude, OpenAI, Bedrock is nice to have or experience with similar LLM platforms required. Familiarity with RAG, Graph-based retrieval, prompt design, and multi-hop reasoning. Experience deploying LLM-powered features into More ❯

with the following technologies: Our AI engine uses a range of models, including self-hosted and fine-tuned open source models, as wellas latest reasoning models from Anthropic and OpenAI Evaluation and research tools built primarily in Python, with integration into our TypeScriptinfrastructure Our agentic AI execution platform is written in TypeScript, hosted on Cloudflare Workers Standard ML tooling: various More ❯

with the following technologies: Our AI engine uses a range of models, including self-hosted and fine-tuned open source models, as wellas latest reasoning models from Anthropic and OpenAI Evaluation and research tools built primarily in Python, with integration into our TypeScriptinfrastructure Our agentic AI execution platform is written in TypeScript, hosted on Cloudflare Workers Standard ML tooling: various More ❯

class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more. Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services. Performance: 4x ARR in 2024. Competitive compensation. Role Overview Harvey's Strategic Business Development Leads are skilled lawyers from More ❯

class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more. Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services. Performance: 4x ARR in 2024. Competitive compensation. Role Overview Harvey's Legal Product Specialists are experienced lawyers from top More ❯

impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission. We bring expertise from OpenAI, NASA, and McKinsey, and we're backed by the best venture funds in the world. We can't wait to have you on board. Magentic Equal Opportunities Statement Magentic is More ❯

organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI More ❯

infrastructure and AI tools to automate repetitive tasks, conduct effective QA, and support end-to-end workflows for internal users Prototype new integrations with our tech partners (among them OpenAI, Vercel, Algolia, Commercetools, Bynder, Ninetailed, Slack) Create technical assets that support enterprise sales cycles, including proof-of-concepts, technical documentation, and architectural diagrams Collaborate with Sales Engineering, Developer Relations, Solutions More ❯

completed AI-related coursework or certifications, such as machine learning, natural language processing, or prompt engineering - either through formal education (e.g. university courses) or platforms like Coursera, DeepLearning.AI , or OpenAI Have proficiency in programming languages such as Python, R, or Java Have an interest or background in fitness, running or health Are capable of rolling up your sleeves and speaking More ❯