Innovation

The engineer

What it takes to become the holistic, all-knowing, coding, AI-understanding, machine-learning engineer.

11 April 2019

Once upon a time, there was the data scientist. This rare, highly skilled individual understood data, science, coding and hacking, and could tell stories that made all these technologies relevant to the business.

However, as data and technology and business requirements evolved and expanded, so did the need for specialisation within the data scientist realm. Enter the machine learning engineer (MLE), an individual powered by deep engineering skills and an in-depth understanding of AI, sophisticated programming, complex data sets, algorithms, software, and systems.

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