An AI Engineer is a technology professional who designs, develops, and implements artificial intelligence systems and solutions. This role involves working with machine learning algorithms, neural networks, and data analysis to create software that can mimic human intelligence and automate complex tasks. AI Engineers often collaborate with data scientists, software developers, and business teams to solve real-world problems using AI, such as improving customer service with chatbots, enhancing medical diagnostics, or enabling self-driving vehicles. The role requires strong programming skills, knowledge of mathematics and statistics, and the ability to work with large datasets. Most AI Engineers in the UK have a background in computer science, engineering, or related fields, and many hold postgraduate qualifications.
The average salary for an AI Engineer in the UK typically ranges from £40,000 to £80,000 per year, with experienced professionals earning upwards of £100,000.
There were over 2,500 AI-related job postings in the UK in 2023, reflecting strong demand for skilled professionals.
The UK AI sector is expected to grow by over 25 percent annually, with significant investment from both government and private sectors.
Works on developing computer systems that understand and process human language, such as chatbots and voice assistants.
Specialises in enabling computers to interpret and analyse visual information from the world, such as images or videos.
Focuses on designing and training algorithms that allow computers to learn from data and make predictions or decisions.
Focus on subjects such as mathematics, especially statistics, and computer science during your GCSEs and A-levels or equivalent.
AI engineering relies heavily on mathematical concepts like linear algebra, calculus, and probability, as well as programming skills. Choosing A-levels or highers in mathematics, further mathematics, physics, and computer science will provide a solid base. Building coding skills early, especially in languages like Python, will be highly beneficial.
Develop your programming skills, particularly in Python, which is widely used in AI development.
Start by learning the basics of programming through online courses, coding clubs, or personal projects. Python is the primary language for AI, but Java, C++, and R are also useful. There are many free resources and tutorials available online to help you practise and improve.
Enrol in a university degree programme such as Computer Science, Artificial Intelligence, Data Science, or Software Engineering.
Most AI Engineer roles require at least a bachelor's degree in a relevant subject. Some universities in the UK offer specialised degrees in Artificial Intelligence or Machine Learning. During your studies, focus on modules related to AI, data analytics, and software development.
Complete internships, placements, or work on AI projects to gain hands-on experience.
Look for internships with technology firms or research groups working on AI. Many universities also offer industrial placements or opportunities to work on real-world projects during your degree. Participating in hackathons and contributing to open-source AI projects can also strengthen your skills.
Deepen your knowledge of AI techniques, machine learning, and deep learning through advanced courses or a postgraduate degree.
Consider pursuing a master's degree or taking online courses in advanced AI topics. Learn how to use popular AI frameworks like TensorFlow, PyTorch, or Keras. Staying up to date with the latest research and trends in AI will make you more competitive.
Search and apply for AI Engineer positions in industries such as technology, finance, or healthcare.
Prepare a strong CV that highlights your technical skills, projects, and any relevant work experience. Network with professionals in the industry through meetups, conferences, or online platforms like LinkedIn. Entry-level roles may include Junior AI Engineer, Machine Learning Engineer, or Data Scientist.
Data Scientists analyse large sets of data to find patterns and insights, often using machine learning techniques, and play a key role in building predictive models for businesses.
Machine Learning Engineers specialise in creating algorithms and systems that enable computers to learn from data and make decisions or predictions.
Software Developers design, build, and maintain computer programs and applications, often working alongside AI professionals to integrate intelligent features into software products.
Explore relevant apprenticeships that can help you kickstart your career in AI Engineer. Apprenticeships offer hands-on experience and training while earning a wage.
This page showcases various career options and the pathways to reach them. Each career listed here shares transferable skills and knowledge, making it easier for individuals to transition between them.
Your current career is highlighted to help you see how it fits into the broader landscape of potential career choices. By clicking on any career, you can learn more about it, including the training and education required to pursue it.
Remember, progressing in your career often involves further learning and training. This page provides insights into future career options as well as those that can lead up to your current one.
These career progression decisions are informed by comparing the skills and knowledge needed for different occupations, along with data on how people move between them. Explore the possibilities and discover the exciting journey ahead in your career!
This career title directly corresponds to the AI Engineer role, as both involve designing, developing, and implementing artificial intelligence systems. The qualifications required are similarly focused on skills in machine learning, programming, and data analysis within the field of AI.
You can get into this job through:
You could do a degree in a subject like:
Some employers may also look for a postgraduate qualification in a related subject like machine learning.
You could sign up to do a free UCAS Subject Spotlight to learn more about AI and machine learning.
You'll usually need:
You could apply to do an apprenticeship, for example:
These apprenticeships are equivalent to degree and postgraduate level study and take around 2 years to complete.
You'll usually need:
It will be helpful if you have knowledge and experience of computer programming languages, such as Python, SQL or JavaScript.
You might be able to apply to do a Skills Bootcamp in AI or machine learning.
Skills Bootcamps are free, flexible courses that last up to 16 weeks. You should check specific entry requirements with the course provider.
You could join The Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) for training opportunities and to make industry contacts.
You can keep up to date with new technological advances and industry information from:
Explore other careers or use our AI to discover personalised paths based on your interests.
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