Career Progression Path
Is this the only route?
This is the standard academic trajectory, but modern careers are highly flexible. You can often skip stages by entering the industry with an advanced qualification (like a Master's or PhD), or pivot sideways from a related discipline.
University Degree
Usually 3 to 4 years of full-time academic study, explicitly preparing you for the theoretical realities of the industry.
Junior Machine Learning Engineer
In this entry-level role, you will assist in developing machine learning models and gain hands-on experience with data preprocessing and algorithm implementation.
Mid-level Machine Learning Engineer
As a mid-level engineer, you will take on more complex projects, lead small teams, and contribute to the strategic direction of machine learning initiatives.
Senior Machine Learning Engineer
In this peak career stage, you will lead large-scale machine learning projects, mentor junior engineers, and drive innovation within your organisation.