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Machine learning skills can open the door to a wide range of careers, as more and more companies seek to harness these techniques and artificial intelligence (AI) to automate a growing range of processes. Some companies may specifically hire for machine learning engineers, but machine learning skills can also be important for data scientists, data analysts, and data engineers.

There are more specialized roles available for machine learning experts, too. Many companies in the financial industry may employ business intelligence analysts and decision scientists who can leverage machine learning skills to automate systems for delivering market insights. And companies building Internet of Things (IoT) that rely on voice recognition or other human inputs may employ natural language processing engineers or human-centered machine learning designers.鈥�

No prior programming experience is required to begin beginner machine learning courses, but having some foundational knowledge in programming (especially Python) can be very beneficial. The curriculum is structured to accommodate learners at all levels:

• Beginners can start with introductory courses that cover basic programming and data handling.
• Intermediate learners can advance to applying machine learning algorithms on real data.
• Advanced professionals can explore specialized areas such as deep learning, reinforcement learning, or natural language processing.鈥�

The average base pay for a machine learning engineer in the US is $127,712 as of March 2024 [].

According to a December 2020 study by Burning Glass, demand for AI and machine learning skills is projected to grow by 71 percent 2020-2025. The same study reports a $14,175 salary premium associated with these skills [].鈥�