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Background: Researchers and scientists are increasingly using programming languages for data processing, visualisation, and analysis. Advancement in machine learning (ML) and artificial intelligence (AI) helps accelerate the process of analysing complex research data and conducting experiments, leading to the discovery of hidden patterns in the data. In collaboration with the Australian Research Data Commons (ARDC), the Advanced Analytics and AI (3AI) Platform at Intersect has aimed to reduce the technical barriers and provide a research-ready AI/ML infrastructure on the Nectar Research Cloud, allowing researchers to focus on their science. Method/Actions: The modular design provides a pre-configured Python environment, DataOps, MLOps, and system monitoring tools like Apache Airflow, MLflow, Prometheus, and Grafana. Interactive software such as RStudio and JupyterLab are included. Researchers can customise their environment with specialised Python installations optimised for tasks like computer vision or generative AI. Results: The initiative offers pre-configured, optimized environments, simplifying cloud computing for AI/ML. Researchers can quickly and efficiently begin their AI/ML journey and utilise the available resources (e.g. Nectar s Graphical Processing Unit (GPU) Reservation System). The platform provides essential tools for data analysis, workflow orchestration, and model development within a user-friendly framework, ensuring optimal performance. Conclusion: This collaborative effort empowers researchers to leverage AI/ML tools by providing a user-friendly, documented environment. It aims to accelerate AI/ML research on the Nectar Research Cloud, enhancing the Australian research landscape by providing accessible and powerful computational resources.