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A study of the software localisation industry examines learning in digital society by describing localisers' knowledge practices. The shortcomings of standard models of professional learning that assume shared goals, codified knowledge and workers' co-location are considered, along with the problem of learning in distributed and technologically mediated work contexts. The paper uses Knorr Cetina's concept of macro-epistemics to highlight the need for theoretical development in relation to two questions: i) How do ways of organising localisers' work constitute opportunities and constraints for shared knowledge practices? ii) How does technology disrupt macro-epistemic potential and personal learning trajectories?

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Against the backdrop of intensified migration linked to globalisation, this article considers the implications of knowledge migration for future digital workers. It draws empirically on a socio-material analysis of the international software localisation industry. Localisers' work requires linguistic, cultural and software engineering skills to adapt digital products to be marketed worldwide. The article addresses the problem of the need for better understanding of knowledge practices in digital working and offers new insights by examining work and learning against the theoretical question of how knowledge migrates. Drawing on the writing of sociologist Karin Knorr Cetina, it illustrates how workers reformulate knowledge and practise visibility through object relations that support learning. The article concludes with five recommendations for incorporating insights gained through this analysis in education.

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