3 of 3 Physics Jobs in Peterborough

company on a mission to solve one of the most critical challenges of our time: protecting connected devices that underpin modern life. They're pioneering technology that fuses quantum physics with next-generation cryptography, creating end-to-end security that flows from hardware through to cloud. With strong investor backing and cutting-edge IP, they're engineering the security infrastructure More ❯

work and setting your own schedule. We are looking for an expert Physicist (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Physics team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development. Our platform offers an engaging blend of … flexibility and challenge: you’ll work closely with state-of the art AI models to take on expert physics tasks that include solving challenging problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat … complex problems and evaluate their outputs * Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in physics, engineering, inductive/deductive reasoning, and physical/temporal/spatial reasoning * A current, in progress, or completed Master's and/or PhD is preferred but not required Note More ❯

Role: Founding CTO – Physics ML/Foundation Models for the Physical World About FiberMind I'm building FiberMind to turn existing fibre‐optic networks into an intelligent sensing fabric for rail, borders and pipelines – physics‐aware foundation models on top of the world's fibre, not another chatbot. What you'd own Architecture and training of physics‐grounded models on … foundation models that turn existing fibre networks into a predictive nervous system for rail, borders and pipelines. Simple interface on the outside, learning engine underneath. If you care about physics, messy real‐world data and building a generational infra company, you'll like this. More ❯