Summary
Michael Neely is a Senior Machine Learning Engineer with 11 years' experience building production-grade AI systems and research-grade deep learning models, currently designing Virgin Red’s MLOps platform to drive scientific agility, observability, and cost efficiency. He blends hands-on engineering—Python, Docker, Snowflake, SageMaker, EMR, Airflow—with research expertise in NLP, information retrieval, and explainable AI, and has taken models from Jupyter prototypes to automated business-as-usual pipelines. Michael has commercial experience at scale (ASOS pricing and promotion optimisation) and a strong academic grounding (MSc AI, teaching reproducible XAI research), enabling him to bridge data science, engineering, and stakeholders effectively. He’s worked across four countries and across cloud migrations, CI/CD and monitoring efforts, bringing a pragmatic, design-minded approach inspired by a devotion to elegant internal systems. Notably, he mentors early researchers and has led internal Transformer research and embeddings-as-a-service projects that improved downstream search and recommendation capabilities.
11 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at University of Galway
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at University of Amsterdam
High School Diploma, High School Diploma at Seattle Preparatory School
English