Browse our jobs and apply for your next role.
The right candidate is just a few clicks away.
PageGroup changes lives for people through creating opportunity to reach potential.
If you have any questions, we’re here to help.
The term “Artificial Intelligence” has been around since 1956, when John McCarthy coined the phrase. However, it wasn't until the 20th century that the field really began to take shape. In 1957, McCarthy founded MIT's artificial intelligence lab. He later left the university to found Stanford Research Institute, where he developed the world's first commercially successful program for automated information retrieval known as TREC.
Artificial intelligence (AI) is one of the most exciting technologies of our generation, and it's poised to change the way we live, work, learn and play. While many companies are already investing heavily in AI, the technology itself is still relatively young. As a result, this is a constantly shifting sector, and it's one that offers a great many tempting roles for a job-seeker. Read on to discover the growing career opportunities for artificial intelligence professionals, including jobs related to machine learning, software engineering, and robotics.
Machine learning is a branch of AI and computer science, which is dominating the sector’s job opportunities, where many positions are seeking individuals skilled in data analysis, modelling, and evaluation. Data scientists, for example, use data analysis software and machine learning techniques to help businesses make better decisions. They gather information about customers and prospects, analyse trends and patterns, predict future outcomes, and recommend solutions based on statistical models. A degree in computer science or statistics is helpful for such roles, along with experience working with databases and programming languages like Python, R, and SQL. Working as a data analyst will also provide much of the required experience.
Machine learning engineers apply algorithms and mathematical models to large sets of data to make predictions about how systems behave. They write code to process vast amounts of information, build predictive models and deploy machine learning tools to improve customer experiences. An engineering background is usually a requirement for these types of jobs, as well as knowledge of programming languages such as Java, Python, Ruby, and JavaScript.
Business analysts use analytics to extract insights from data to understand how different groups within organisations interact. These specialists identify problems and suggest ways to solve them, helping teams develop strategies and implement processes that lead to improved performance. BA candidates typically hold degrees in fields like marketing, finance or operations research, and possess strong analytical skills.
Artificial intelligence researchers develop algorithms that allow computers to make decisions based on information gathered from sensors and cameras. They're usually involved with the design and implementation of those programs. People working in artificial intelligence research are typically found at universities, commercial companies and government agencies. Computer scientists and engineers are common career paths within the field.
Software engineering is one of the most popular career paths in the world today. This includes both the development of software applications and the creation of the infrastructure needed to support it. There are many different types of software engineers, each with his or her own set of responsibilities. Some focus on building the core framework of an application while others specialise in writing code related to the specific requirements of the project. Still others work on the backend, creating the database and managing the data itself.
The roles of a software engineer and a data engineer vary depending on the industry sector. For example, web designers tend to use software engineers to build custom interfaces, whereas game programmers often rely on software engineers to write the underlying code that makes everything possible within the virtual space.
User experience (UX) roles encompass work across many different industries. These professionals help companies produce products and services that are easy to navigate and will be intuitive and enjoyable for customers.
In general, UX specialists are responsible for understanding how humans interact with equipment, and thus how engineers can apply that understanding to design better software. In terms of AI, a user experience designer's responsibilities may include understanding human interaction with these tools for future developers to build functionality that better suits those humans' needs.
In the very near future, robots could be driving our cars, delivering packages for us, helping us find jobs, and even assisting us in medical procedures. Artificial intelligence (AI), robotics engineering and machine learning are three areas of study that are transforming how we live and work today.
Robotics engineering involves building mechanical devices that can move and interact with their environment. Robots are often programmed to complete repetitive tasks like manufacturing products, assembling equipment and moving materials. They're also increasingly being used for dangerous jobs such as operating heavy machinery and rescuing victims trapped in fires and floods.
Machine learning is a subset of AI. Whereas traditional programming relies on explicit rules, machine learning programs computers to make decisions based on data without explicit instructions. One example is facial recognition software, in which a computer program looks at images of faces and learns what each person looks like. This makes it possible for the system to identify individuals in photos taken by surveillance cameras.
Jobs that come under the AI umbrella are plentiful in number and will seemingly increase in the coming years. There is already a noticeable talent gap, with demand from employers outpacing availability in many industry sectors. Those individuals who look to build a career in AI have chosen a particularly good time to do so.
AI is one of the most talked about topics in today's world. Every day we hear stories about how machine learning and other disciplines within AI are helping us do things that we never thought possible. From self-driving cars to chatbots, every industry wants to use AI to make life easier. One of the biggest advantages of a job role in this sector is the opportunity to be in an exciting industry from a very early stage of its development.
Machine learning promises to solve issues facing businesses every day. A machine learning engineer will deal with many challenging problems and foster arrangements that fundamentally impact how organisations and individuals thrive. A job that allows an individual to tackle diverse challenges provides the highest satisfaction; each day brings new opportunities to develop skills and hone one's craft. Individuals can observe trends first-hand, helping them to identify areas where they can improve their relevance in the market, thus enhancing their value to the employer and to themselves.
Given the shortage of skilled AI specialists already, those who work in this field can easily transfer their talents from one organisation to another, and from one nation to another as well. The demand for artificial intelligence jobs — especially those involving deep learning — is extremely high, with some companies offering salaries of up to six figures. The job market for roles such as machine learning engineer, artificial intelligence researcher, and UX specialist is thriving at the moment.
These high salaries are largely because of a rare combination of skills. The most successful in this sector will possess both programming knowledge and expertise in areas such as data science, computer vision, natural language processing and speech recognition. In addition, they often require a bachelor's degree in computer science or a related field, along with several years of relevant professional experience.
If you are on the lookout for AI jobs, Michael Page has a variety of opportunities available. Search AI jobs now, or set up an email job alert with us so we can notify you of new roles in the sector once they become available. You can also send us your CV or get in touch with a consultant to discuss potential roles according to your skillset and preferences.
Start your job search
Try our smart new tool to find your perfect job
