6 Artificial Intelligence (AI) Jobs to Consider in 2024

The outlook for artificial intelligence jobs is bright, which is good news for anyone interested in the growing field of AI. According to the World Economic Forum’s Future of Jobs Report, AI specialists and machine learning professionals are transforming the technological landscape. The report estimates that the global economy will create nearly 1 million jobs by 2027 [1]. 

As the prevalence of AI has risen due to ChatGPT and other recent generative technology, you may wonder what jobs are available in this field and how to land one. Read on and discover an overview of artificial intelligence careers and the skills and education you’ll need to pursue them.

6 artificial intelligence jobs to consider

The field encompasses several positions, ranging from AI engineers to data scientists. Learn more about specific AI jobs and the average salaries you can expect to earn.

1. Artificial intelligence (AI) engineer

AI engineers use AI and machine learning techniques to develop applications and systems that help organisations become more efficient. They focus on developing the tools, systems, and processes that enable AI applications to real-world problems. Data” trains” algorithms, helping them learn and perform better. AI engineers can help cut costs, increase productivity and profits, and make business recommendations. 

Average annual base salary (UK): £55,828 [2]

2. Machine learning engineer

Machine learning engineers research, build, and design the AI responsible for machine learning. They maintain and improve existing AI systems. A machine learning engineer often liaises with other data science team members, collaborating with the data scientists who develop models for building AI systems. They run experiments and tests, perform statistical analyses, and develop machine learning systems.

Average annual base salary (UK): £64,455 [3]

3. Data engineer

Data engineers build systems that collect, manage, and convert raw data into usable information for data scientists, business analysts, and other data professionals to interpret. They make data accessible so that organisations can use it to evaluate and optimise their performance. Data engineering is a broad field with applications in nearly every industry. 

Average annual base salary (UK): £52,207 [4]

4. Robotics engineer

Robotics engineers develop robotic applications for many industries, including automotive, manufacturing, defence, and medicine. They design new products or assemble prototypes for testing. Some may work on-site at a manufacturing plant overseeing robots during production, while others monitor their performance in the real world. Robotics engineering combines elements of mechanical and electrical engineering with computer science.

Average annual base salary (UK): £40,339 [5]

5. Software engineer

Software engineers, sometimes called developers, create software for computers and applications. They use programming languages, platforms, and architectures to develop anything from a computer game to network control systems. A software engineer may also test, improve, and maintain software built by other engineers. You may find this career rewarding if you’re an analytical thinker who enjoys solving problems and enhancing digital systems.

Average annual base salary (UK): £53,811 [6]

6. Data scientist

Data scientists determine what questions an organisation or team should ask and help them determine how to answer them using data. They often develop predictive models to theorise and forecast patterns and outcomes. A data scientist might also use machine learning techniques to improve data quality or product offerings. 

Average annual base salary (UK): £53,502 [7]

How to get a job in AI

When landing an AI job, you’ll want to consider the requirements and skills of a specific job role. These are the common ways to get a job in AI, but your path will vary depending on job type, level, and industry.

Consider earning a degree.

Many jobs in AI require a degree to gain an entry-level position. You may need a higher postgraduate degree and relevant experience for more senior positions. Often, AI professionals obtain undergraduate and postgraduate degrees in artificial intelligence, computer science, computer engineering, or a related field. 

Build practical AI skills.

If you already have your undergraduate degree in a field related to AI, consider enrolling in courses to learn the technical skills. Even if you don’t have a degree, certifications demonstrate to potential employers that you’re serious about your career goals and investing in your skills. Some AI credentials to consider include:

• MIT: Artificial Intelligence: Implications for Business Strategy

• Imperial College Business School: Professional Certificate in Machine Learning and Artificial Intelligence

• The Open University: An Introduction to Artificial Intelligence

• IBM Applied AI Professional Certificate

• IBM AI Engineering Professional Certificate

• Google Advanced Data Analytics Professional Certificate

Apply to entry-level jobs.

Once you feel confident with your training level, start researching and applying for jobs. Many entry-level AI jobs, such as software engineer or developer, will indicate “entry-level” or “junior” in the job description. Those that require less than three years of experience are typically fair game. 

If you need help in your job search, try applying for internships or starting a freelance project or a hackathon to sharpen your skills. You’ll receive feedback on your work and develop relationships that may benefit you.

Start preparing for a career in AI today with Coursera.

AI is a developing field that is changing the way we use technology. To get ahead of the crowd and learn about AI, consider programmes like the IBM Applied AI or AI Engineering Professional Certificates to become job-ready within months. You can learn Python, build a chatbot, and explore machine learning with an industry leader in technology.

Or, if you plan to earn a degree online, you'll find a couple of options available through Coursera. You could pursue a Bachelor of Science in Computer Science from the University of London or a Master of Science in Data Science from the University of Colorado Boulder.