Future Tech Jobs
Future Tech Jobs
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
DIGITAL MARKETING TRAINEESHIP (REMOTE)Become a Digital Marketing Professional and Build Real-World ExperienceAre you interested in digital marketing, online business, and helping organisations grow through effective marketing strategies? Do you want to gain practical experience while developing skills that employers are...
DIGITAL MARKETING TRAINEESHIP (REMOTE)Become a Digital Marketing Professional and Build Real-World ExperienceAre you interested in digital marketing, online business, and helping organisations grow through effective marketing strategies? Do you want to gain practical experience while developing skills that employers are...
A research-focused role advancing large language model development through architecture innovation, optimization, and scaling. The position involves designing and evaluating novel model architectures, debugging training regressions, and improving both model and computational performance. Work is integrated within a hybrid (3 days in-office) setup in London, contributing to core training infrastructure and flagship AI systems.
About the TeamThe Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical...
About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers,...
About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers,...
Develop and maintain research-oriented software and infrastructure for evaluating advanced AI systems, contributing to open-source tools like Inspect and supporting large-scale model evaluations. Work closely with leading researchers and engineers to build secure, scalable systems that influence global AI governance and safety practices.
This role involves designing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. The scientist will build and evaluate models, collaborate across interdisciplinary teams, and iterate based on wet lab feedback. A significant emphasis is placed on high-performance code, scalable data pipelines, and staying current with advances in ML and synthetic biology.
This role involves leading the end-to-end delivery of Scale AI's Generative AI Platform (SGP), focusing on infrastructure initiatives at global scale. The Technical Program Manager will align engineering, product, and leadership teams to ship robust developer tooling and distributed systems, translating complex technical challenges into clear execution plans. Key responsibilities include managing platform lifecycle, mitigating risks in large-scale AI deployments, and driving adoption through metrics and operational excellence.
This role involves developing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. You'll work closely with biologists and engineers to build scalable data pipelines, optimize model performance, and iterate based on wet lab feedback. The position emphasizes research excellence, production-grade code, and rapid experimentation in a cross-disciplinary environment.
Design and build core platform systems to support technical research on AI-related chemical and biological risks, translating ambiguous research needs into scalable, maintainable software solutions. Work within a multidisciplinary team to develop LLM-based agent systems, evaluation frameworks, and shared infrastructure while mentoring engineers and shaping technical direction. Operate in a high-impact environment with direct influence on AI policy and global governance.
