Explore the day-to-day responsibilities, required skills, and employment opportunities of a machine learning engineer. Discover statistics on employment growth, salary potential, and commonly held qualifications.
Machine learning engineers play a key role in AI development, creating programs that enable technology to function and solve problems independently. These experts leverage their skills to enhance business systems and operational efficiency; automating routine, manual tasks to improve productivity. While their specialisations may vary, the field is based in the fundamentals of software engineering – making it an ideal focus area for software engineers.
On a day-to-day basis, machine learning engineers may spend time exploring, mining, and analysing data; retrieving valuable patterns or information to build or strengthen machine learning models. They also typically spend time communicating with product managers on ways to improve customer service (or internal workflows) through machine learning technology.
According to the latest findings by CSIRO’s Data61, those in AI development (such as machine learning engineers) have plenty of career opportunity, now and into the future. Their research predicts an estimated demand for 32,000 to 161,000 employees in robotics, data science, computer vision, and various other areas of AI expertise by 2030.
- A fundamental knowledge of computer science – including various algorithms, data structures, and computer architecture
- Advanced skills in programming and commonly used languages, such as Python, Java, and R
- Skills in probability, statistics, and mathematics
- Ability to organise, analyse, and measure large data sets
- Experience in software development and testing; and familiarity with good practices
- Ability to pinpoint business needs and address such issues through machine learning solutions
As a subset of software/application programmers, machine learning engineers can find work in most regions of Australia, with New South Wales and Victoria currently holding the largest share of workers. Weekly salary potential is currently higher ($2,003) than the all job average ($1,460) with plenty of opportunity for full-time work.
$60,000 – $132,000 (Median: $77,000)*
Average Weekly Hours
41 hours (vs. all jobs average of 44 hours)*
*Source: Job Outlook
Professional, Scientific and Technical Services; Financial and Insurance Services; and Public Administration and Safety
Most Common Qualification Level
55.9% hold a Bachelor’s Degree
Getting the skills you need is simple by studying one of our information technology courses below.
- Certified Artificial Intelligence Professional
- ICT40120 – Certificate IV in Information Technology (Networking)
- ICT50615 – Diploma of Website Development
- ICT50118 – Diploma of Information Technology
- Certified Cyber Security Professional
- Certified Data Science Professional
- Certified Microsoft Full Stack Developer
- Cloud Computing Certified Professional
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A BALANCED APPROACH TO TRAINING WITH DDLS
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CONNECTING THE HUMANS OF DEVOPS
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THE GLOBAL AUTHORITY ON DIGITAL MARKETING CAPABILITY
Digital Marketing Institute (DMI) is the world leader in digital marketing skills development with a proven track record in transforming the skills of digital professionals to help build successful careers and promote continuous learning, to shape the workforce of the future.
BE MORE THAN CLOUD TRAINED. GET AWS CERTIFIED
Amazon Web Services (AWS) helps learners build credibility and confidence by validating their expertise with an industry recognised credential, and organisations identify skills professionals to leave initiatives using AWS. AIICT partnered with AWS to provide beginner-friendly certification for our Cloud Computing Certified Professional course and curated content for the Certified Artificial Intelligence Professional course. AWS is a comprehensive and broadly adopted cloud platform that will allow students to innovate, experiment and iterate.
GLOBAL ACCREDITATION BODY FOR SCRUM AND AGILE CERTIFICATIONS
Scrum is one of the most popular Agile methodologies. It is an adaptive, iterative, fast, flexible, and effective methodology designed to deliver significant value quickly and throughout a project. Scrum ensures transparency in communication and creates an environment of collective accountability and continuous progress. The Scrum framework, as defined in the SBOK® Guide, is structured in such a way that it supports product and service development in all types of industries and in any type of project, irrespective of its complexity.
BUILDING VICTORIA’S DIGITAL WORKFORCE
DDLS and the Australian Institute of ICT (AIICT) were recently successful in becoming an approved training provider of the Victorian Digital Jobs Program which is a 6-month program that takes experienced mid-career Victorians and helps them transition into digital careers.
TRANSITION TO A MEANINGFUL CAREER IN TECH
Microsoft and AIICT are committed to empowering transitioning Australian Defence Force (ADF) service members and former serving/already separated members through relevant training that leads to meaningful careers in tech.