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Samuel Neugber has a strong background in machine learning and software development. Samuel is currently working as a Machine Learning Lead at PXL Vision, where they lead a team in developing machine learning solutions. Prior to this, they served as the Core Tech Team Lead in Machine Learning at PXL Vision and also worked as a Core Tech Engineer in Computer Vision and Machine Learning.

Before joining PXL Vision, Samuel was a Machine Learning Engineer at Yoti Ltd, where they contributed to the development of machine learning solutions. Prior to that, they worked as a Machine Learning Engineer at Soma Analytics, where they applied data science and machine learning techniques to various projects, including deep learning on speech data.

Samuel's earlier experience includes working as a Software Developer at Softwire, where they gained experience in full stack development and worked with technologies such as .NET, SQL server, and AWS. Samuel also worked at Basewarp as an Android Developer and Product Consultant, where they developed a location-based Android app and provided consulting services for product development and strategy.

Samuel's work history also includes serving as a Project Lead and Programmer at Rytmos, where they developed a music-based game for Android devices using Unity and C#. Additionally, they had internships at detim IT Consulting GmbH and Wild Pockets.

Samuel Neugber attended the University of Edinburgh from 2009 to 2014. No specific degree or field of study was specified.