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The emerging field \"Sustainability of AI\" addresses this issue, with papers exploring distinct aspects of ML\u2019s sustainability. However, it lacks a comprehensive approach that considers all ML development phases, treats sustainability holistically, and incorporates practitioner feedback.\u00a0In response, we developed the sustainable ML design pattern matrix (SML-DPM) consisting of\u00a035\u00a0design patterns grounded in justificatory knowledge from research, refined with naturalistic insights from expert interviews and validated in three real-world case studies using a web-based instantiation. The design patterns are structured along a four-phased ML development process, the sustainability dimensions of environmental, social, and governance (ESG), and allocated to five ML stakeholder groups. It represents the first artifact to enhance each ML development phase along each ESG dimension. 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