Future Work: Machine Learning Specialist
Becoming a machine learning specialist will require a good understanding of programming languages as well as statistics. Getting familiar with some key concepts that you’ll be hearing a lot of will also be useful. Spend some time getting comfortable with the following terms:
Once you feel fairly confident in your understanding of these concepts, think about how they are currently being applied across businesses and science every day. Here are some examples to get you started:
There are a few disciplines that are vital to becoming a machine learning specialist or engineer, which we’ll look at below.
- Data structures
- Computer architecture
You’ll also need to be confident with designing and implementing software. Machine learning software is almost certain to be used as part of a wider software network, which means understanding how to integrate what you’ve designed into a larger picture will also be key. Knowing how to test your creations, as well as make them easy to use for colleagues, will also be extremely important.
- Sampling: when you use statistical information from a small section of a population. An example could be a survey of 200 people chosen at random and asked about their political views.
- Probability basics: Probabilistic models in the field of statistic are those that incorporate random variables into the overall statistical model. As opposed to a deterministic model, which focuses on only one possible outcome, a probabilistic model will attempt to give a probabilistic distribution as an outcome. Essentially any statistical model with a random or unpredictable element will incorporate probability.
- Data distribution: This enables you to understand and examine data from a variety of different perspectives. It can tell you how often certain values occur, as well as the density of those values.
Learning some specialist data analysis software like R or python is important too, as these tend to be the most favoured languages for machine learning software and applications.
Any qualifications in the following fields will give you an immediate advantage, especially if they’re at degree level or higher in subject areas such as:
- Data science
- Computer Science
- Software Development
Once you’ve got the skills and qualifications, and feel confident about getting out there, you’ll find a myriad of interesting opportunities as a machine learning specialist. Just because it’s a tech-based role, it doesn’t mean you’ll be limited to working in the tech sector alone. In fact, almost any business that deals with data interpretation in some form will be looking to hire skilled machine learning specialists. This means, if current trends continue as predicted, you could well have the luxury of choice when it comes to choosing where to work.
Salary wise, a machine learning engineer in the UK can currently expect to earn around £70k or more per year, with senior positions commanding an impressive salary of around 100k. If you’re currently on the search for machine learning roles, or related data science positions, make sure to register with us today to set up custom job alert emails.