Craig Macartney is an AI and ML platform leader with eight years’ experience building scalable production ML systems and experimentation frameworks for millions of users, now leading enterprise AI capability as AVP at Sutherland. He progressed from academic research—publishing state-of-the-art work on Wave-U-Net for speech enhancement—to operationalising models at Sky using tools like GCP/Vertex, Kubeflow, Airflow, TensorFlow, and Spark. Comfortable spanning research, product ownership and engineering, he brings a rare blend of deep learning expertise in audio processing and hands-on platform delivery. His background in music technology and accountancy informs a pragmatic, multidisciplinary approach to productising complex ML workflows.
8 years of coding experience
1 year of employment as a software developer
Junior Academy Programme, Music, Junior Academy Programme, Music at Royal Scottish Academy of Music and Drama
George Watson's College
MSc, Data Science, MSc, Data Science at City St George’s, University of London
Bachelor of Accountancy (BAcc) (ICAS-Accredited), Accounting and Finance, Bachelor of Accountancy (BAcc) (ICAS-Accredited), Accounting and Finance at University of Glasgow
Master of Music (MMus), Studio Composition (Music Technology), Master of Music (MMus), Studio Composition (Music Technology) at Goldsmiths, University of London
Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemented for the task of speech enhancement in the time-domain.
Contributions:6 commits, 3 PRs, 4 pushes in 2 years 3 months
Contributions:11 commits, 10 pushes, 1 branch in 19 days
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Craig Macartney - AVP - AI & ML Platform Product Lead