The job outlook for artificial intelligence 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 and machine learning professionals are transforming the technology landscape. The report predicts that AI and information processing technology will create 11 million jobs by 2030, while simultaneously displacing another 9 million jobs. [1].
As AI becomes more pervasive with ChatGPT and other recent generation technologies, you may be wondering what jobs are available in this field and how to get one. Read on to learn what a career in artificial intelligence is and the skills and education needed to pursue it.
6 Artificial Intelligence Jobs to Consider
This field includes a variety of jobs, from AI engineers to data scientists. Learn more about specific AI jobs and the average salary you can expect.
1. Artificial Intelligence (AI) Engineer
AI engineers use AI and machine learning techniques to develop applications and systems that help organizations become more efficient. They focus on developing tools, systems, and processes that enable AI applications to real-world problems. The data “trains” the algorithm, helping it learn and improve performance. AI engineers can help reduce costs, increase productivity and profits, and make business recommendations.
Average annual basic salary (UK): 56,000 pounds [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. Machine learning engineers collaborate with other data science team members and often collaborate with data scientists who develop models to build AI systems. They perform experiments and tests, perform statistical analysis, and develop machine learning systems.
Average annual basic salary (UK): 57,000 pounds [3]
3. Data Engineer
Data engineers build systems that collect, manage, and transform raw data into usable information that can be interpreted by data scientists, business analysts, and other data professionals. Data is accessible and allows organizations to use it to evaluate and optimize performance. Data engineering is a broad field with applications in almost every industry.
Average annual basic salary (UK): 48,000 pounds [4]
4. Robot engineer
Robotics engineers develop robotic applications for many industries, including automotive, manufacturing, defense, and medical. They design new products or build prototypes for testing. Some work on the factory floor, supervising robots during production, while others monitor robot performance in the real world. Robotics combines elements of mechanical and electrical engineering with computer science.
Average annual basic salary (UK): £40,000 [5]
5. Software engineer
Software engineers, also called developers, create software for computers and applications. They use programming languages, platforms, and architectures to develop everything from computer games to networked control systems. Software engineers can also test, improve, and maintain software built by other engineers. If you’re an analytical thinker who enjoys solving problems and enhancing digital systems, you may find this career rewarding.
Average annual basic salary (UK): 50,000 pounds [6]
6. Data Scientist
Data scientists help organizations and teams decide what questions to ask and how to use data to answer those questions. They often develop predictive models to theorize and predict patterns and outcomes. Data scientists may also use machine learning techniques to improve data quality and product delivery.
Average annual basic salary (UK): 49,000 pounds [7]
How to get an AI-related job
When applying for an AI job, you need to consider the specific job requirements and skills. These are common ways to land an AI job, but the path varies by job, level, and industry.
Consider getting a degree.
Many AI jobs require a degree to get entry-level positions. More senior positions may require a higher graduate degree and relevant experience. AI professionals often have undergraduate and graduate degrees in artificial intelligence, computer science, computer engineering, or related fields.
Build practical AI skills.
If you already have a bachelor’s degree in an AI-related field, consider enrolling in a course to learn technical skills. Even if you don’t have a degree, a certification proves to potential employers that you’re serious about your career goals and invested in your skills. AI credentials to consider include:
Apply for entry level jobs.
Once you’re confident in your training level, start researching jobs and applying. Many entry-level jobs in AI, such as software engineer or developer, will appear as “entry-level” or “junior” in the job description. If you require less than three years of experience, you are usually a good candidate.
If you need help finding a job, apply for an internship or start a freelance project or hackathon to hone your skills. You can receive feedback on your work and build beneficial relationships.
Start preparing for a career in AI today with Coursera.
AI is a developing field that is changing the way technology is used. To learn about AI before others, consider programs like IBM AI Developer or AI Engineering Professional Certificates, which can help you land a job within months. Learn Python, build chatbots, and explore machine learning with technology industry leaders.
Alternatively, if you plan to earn a degree online, you’ll find several options available through Coursera. You can earn 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.
