Job Spotlight
How to become a Machine Learning Engineer
Machine Learning Engineers are professionals who work on creating and developing systems that can learn and improve from data. These systems are designed to recognise patterns and make decisions on their own. They work with large amounts of data to train algorithms, which then learn from the data and get better over time.
If you’re interested in technology, problem solving, and helping computers learn to do amazing things, this career might be something to consider.
If you have these skills, you could make a great Machine Learning Engineer
- Excellent problem solver
- Knowledge of programming
- Good maths skills
- Great communicator
- Committed to lifelong learning
- Adaptable and resilient
- Good attention to detail
- Mindful of ethical implications of your work
What’s involved in the job?
- Choosing the right machine learning algorithms for specific tasks
- Gathering and organising data from various sources, ensuring it’s relevant and accurate
- Processing and preparing data for training and testing models
- Designing and building your own machine learning models
- Keeping detailed records of your work, including code, methodologies, and results
- Creating visual representations of outputs to understand patterns, insights, and model results
- Integrating the trained model into applications, websites, or other systems for real-world use
- Presenting findings and insights to both technical and non-technical audiences
Where do Machine Learning Engineers work?
As a Machine Learning Engineer, a majority of your work will be done indoors, typically in settings such as offices, laboratories, or remote workspaces.
What kind of lifestyle can I expect?
Most Machine Learning Engineers work full-time, and part-time and casual roles aren’t very common. They often work for private tech companies, research institutions, or for the Government.
Many Machine Learning Engineers earn an above average salary throughout their career.
Machine Learning Engineers are more commonly found in metro or urban areas. But with the rise of remote work and the increasing importance of technology in various industries, opportunities in rural and remote areas may grow.
How to become a Machine Learning Engineer
To become a Machine Learning Engineer, you will need to complete a relevant university degree, as well as some further training.
Step 1 – Complete high school with a strong focus on English and Maths. IT and Sciences could also be beneficial.
Step 2 – Find work experience with STEM or tech-related organisations or businesses.
Step 3 – Complete a relevant undergraduate degree, such as in computer science, data science, or software engineering.
Step 4 – Start building a portfolio of your works to show to prospective employers or clients.
Step 5 – Commit to lifelong learning and stay updated with the latest developments in the industry.
Find out more here:
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