Machine Learning Research Engineer

About us Continuous Intelligence is building stream-native AI for real-world time-series data. Our models learn from irregular, asynchronous, and multiscale streams of measurements, events, and signals as they unfold in continuous time. The role As a founding ML Research Engineer, you will develop novel model architectures for continuous-time data. You will work from mathematical formulation through PyTorch implementation, model training, and empirical evaluation. Your work will shape how our models represent live systems, update as observations arrive, and support continuous prediction and action. You will collaborate across research, systems, and product, contributing beyond a narrow specialism. Relevant expertise includes sequence models, state-space models, time-series modelling, scientific ML, multimodal learning, large-scale training, and foundation models. Details Full-time and on-site in London. Top-of-market compensation with meaningful equity. Apply through LinkedIn or email careers@continuousintelligence.co.uk with your CV and any relevant research, code, or projects. Applicant information will be used only for recruitment purposes.