8 of the most in-demand AI careers

AI and ML Jobs

The female presenter wears a pink top and yellow pants and is in front of a futuristic background.

Artificial intelligence (AI) will revolutionize our lives, and while AI may take away some jobs, it will create thousands of careers.

Thanks to ChatGPT’s reputation, the concept of artificial intelligence is no longer an abstract concept. AI has been quietly used in the background on most social platforms, but now it’s accessible to everyone. From writing code to CVs, people are using AI to make their lives easier.

Many technology visionaries believe AI will have the same impact as the internet, smartphones and mobile web. Rather than take a Luddite approach and negate the benefits that AI can deliver, now is the time to embrace technology, including jobs.

Along with machine learning, artificial intelligence is one of the fastest growing areas of technology, and there are many exciting career opportunities for those looking to prove their future career. AI is projected to create 97 million new jobs by 2025, and many companies struggle to find qualified talent who can create, train, and maintain AI and ML systems. .

For those considering a career change, we’ve identified eight roles within AI that will be in high demand over the next few years. These roles require prior knowledge of computer science and mathematics, but online courses in these areas are emerging as fast as technology advances.

So, if you’re thinking of retraining yourself for a career in artificial intelligence, consider these exciting opportunities.

machine learning engineer

A man in a blue shirt sits in front of a computer monitor.
Machine learning engineers design and implement ML systems. (Getty Images/Pink News)

One of the most in-demand AI-related roles, machine learning engineers are responsible for designing, building, and deploying machine learning models. Work with large datasets, develop algorithms, and optimize model performance. A career as a machine learning engineer offers well-paid and stable jobs.

AI Ethics Specialist

A woman is drinking coffee in front of a computer monitor displaying lines of code.
AI Ethics Specialists are involved in ensuring that AI-powered platforms and products are designed and used in a responsible manner. (Getty Images/Pink News)

One of the biggest AI-related concerns many people have is the potential bias caused by human bias during programming. As such, AI ethics experts are key to fairness in AI. AI Ethics Specialists are responsible for ensuring that AI-powered products and services are developed and used in an ethical and responsible manner. This includes identifying potential ethical issues and developing guidelines and policies for AI development. Like all other roles on this list, a background in computer science is required, but a strong background in ethics and philosophy is also required.

data scientist

An Asian woman with pink hair is wearing headphones and looking at a computer monitor.
With over 32,000 job postings on LinkedIn, 2023 will likely be the year of the data scientist. (Getty Images/Pink News)

Some consider 2023 to be the year of the data scientist. With nearly 32,000 job postings on LinkedIn, getting into data science is a great way to secure a future career in AI. Data scientists analyze large amounts of data to uncover patterns and insights that help make business decisions. This involves using machine learning algorithms and statistical models to identify trends and make predictions. This role typically requires a strong background in statistics, mathematics, and computer science.

AI researcher

A man looking down at a computer screen.
AI researchers develop machine learning algorithms and models. (Getty Images/Pink News)

With an average salary of £42,000 (US$50,000) per year, careers in AI research in high demand offer great opportunities. AI researchers are responsible for developing new algorithms and models for machine learning. This includes researching machine learning techniques, experimenting with different approaches, and publishing the results.

robotics engineer

Standing next to a white robot, a woman is typing information into a tablet.
If you have a background in mechanical and electrical engineering, robotics can be a rewarding career shift. (Getty Images/Pink News)

dream someday actual work with robots? Robotics engineers are responsible for designing and building robots that can perform specific tasks. This involves integrating machine learning algorithms into the robot’s control system so that it can learn and adapt to new situations. It’s not easy to get into this profession as it requires a strong background in electrical and mechanical engineering, but it’s not only very rewarding, it’s also very cool.

Natural Language Processing (NLP) Engineer

A bearded man sits in front of a dual monitor display.
Natural language processing engineers train machine learning systems to understand language. (Getty Images/Pink News)

Without the input of natural language processing engineers, the phone would have been used in a very different way. NLP engineers are responsible for developing algorithms and models for processing and analyzing natural language data. This includes working with large datasets of text and speech, developing algorithms for data analysis and classification, and optimizing model accuracy. A passion for languages ​​and problem-solving skills are essential to being a successful NLP engineer.

computer vision engineer

A woman is looking down at a laptop. The screen reflection is on her glasses and she has a set of headphones around her neck.
Computer vision engineers train AI systems on how to visualize images and videos. (Getty Images/Pink News)

One of the most “futuristic” roles on our list, computer vision engineers make it easy for computers to “see” images and videos. Also known as CV engineers, they develop algorithms and models for analyzing visual data. This includes working with large datasets of images and videos, developing algorithms to identify objects and patterns, and optimizing model accuracy.

AI Product Manager

A man is taking notes on a transparent board while the team watches from behind.
An AI product manager is responsible for the entire lifecycle of an AI platform or product. (Getty Images/Pink News)

Finally, who manages the AI ​​project lifecycle? AI product managers are responsible for overseeing the development of AI-powered products and services. This includes identifying user needs, defining product requirements, and managing the development process. Success in this role requires a background in product management and a strong understanding of AI and machine learning.

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