How do I become a machine learning engineer
Get qualified to work as a machine learning engineer with a course recognised across Australia. Speak to a training provider to learn more.
Related career opportunities
Browse occupations related to Machine Learning Engineer.
Further reading
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- Certified Data Science Professional
- Certified AI Engineer Professional
- Bachelor of Computer Science (Artificial Intelligence)
- Bachelor of Computer Science (Data Science)
- Bachelor of Computer Science (Honours)
- Bachelor of Engineering (Robotics) (Honours)
- Bachelor of Information Technology (Artificial Intelligence and Data Science)
- Bachelor of Science (Computational Science)
- Certified AI Engineer Professional
- Certified Data Science Professional
- Data Analytics with Python: Elevate
- Graduate Certificate in Artificial Intelligence
- Graduate Diploma of Data Science
- Master of Artificial Intelligence
- Master of Data Science
- Master of Data Science (Professional)
- Master of Data Science and Innovation
- Master of Information Technology (Artificial Intelligence)
- Master of Information Technology (Data Science)
- Master of Science (Astrophysics)
- Master of Science (Computer Science)
- Master of Science (Data Science)
Machine Learning Engineer careers
A Machine Learning Engineer develops and implements machine learning models and algorithms to solve complex problems. You might work in technology companies, research institutions, or other industries that utilise data-driven solutions. Machine Learning Engineers focus on designing data pipelines, training models, and optimising algorithms to improve system performance. You’ll collaborate with data scientists and software engineers to integrate machine learning solutions into production environments.
Machine Learning Engineers play a crucial role in advancing technology through data insights. You’ll need strong analytical skills, proficiency in programming, and a solid understanding of machine learning techniques. You’ll work with various stakeholders to ensure models are effective, scalable, and aligned with business objectives.
