Which machine learning jobs will be in demand?
The growth outlook in machine learning
Machine learning keeps developing at pace, opening ever more doors for professionals. Let's look at which roles in the field will be most sought after over the next few years, and which skills you need to build a successful career.
Machine learning engineer
Machine learning engineers build and optimise ML models, run experiments and analyse data. They apply what they know to build innovative solutions across fields such as healthcare, finance and manufacturing. Succeeding in the role takes a knowledge of programming languages such as Python or R, plus an understanding of algorithms and statistics.
Data analyst
Data analysts play a key role in extracting something valuable from unstructured data. They use a range of tools and methods to analyse data, forecast future trends and help companies make decisions. Skills in SQL, statistics and data visualisation are essential here.
Artificial intelligence researcher
AI researchers look for new approaches and technologies for building advanced artificial intelligence systems. They contribute to the science by running experiments and publishing their findings. Deep knowledge of mathematics, statistics, computer science and, of course, artificial intelligence is what it takes to succeed.
AI developer
AI developers build applications and systems with artificial intelligence at their core. From chatbots through to complex systems for automating manufacturing, the role calls for a varied set of skills including programming, systems analysis and a knowledge of machine learning algorithms.
Why continuous learning matters
Machine learning technology never stops moving, which makes ongoing study and self-improvement essential. Courses, webinars, conferences and hands-on experience will keep you at the leading edge and keep your professional skills sharp.
In closing
The world of machine learning is full of opportunity for anyone willing to learn and grow. Investing in machine learning knowledge and skills can be the key to a successful, promising career in high technology. Preparing for the future starts today — so why not begin by exploring what machine learning has to offer?
