The world of work is changing, and it’s happening faster than ever before. If you're a young person in the UK thinking about your future, you’ve probably heard a lot of talk about AI. Maybe you've even used tools like ChatGPT or Gemini yourself. But have you ever considered a career in AI?
The truth is, you don’t need a university degree to get a head start in this booming field. While AI may seem like something reserved for tech geniuses with PhDs, there are an increasing number of non-university routes into exciting and well-paid AI careers. Here at Not Going to Uni, we believe that apprenticeships, vocational courses, and self-learning are powerful alternatives.
So, why skip the lecture halls and student debt?
You'll earn as you learn. Apprenticeships are the perfect example of this. You get paid a salary while gaining hands-on, real-world experience and working towards a recognised qualification. Forget about racking up thousands of pounds in student debt.
You'll gain practical, job-ready skills. AI is all about doing, not just knowing. Apprenticeships and vocational courses are designed to teach you the specific skills that employers are looking for right now. You’ll be working with cutting-edge technology from day one.
You'll get a head start on your career. While your friends at university are still in their first year of study, you could be a year or two into a professional role, building your experience and network.
The term "AI" is a lot broader than you might think. It's not just about building robots! Here are some of the key roles you can pursue without a traditional degree:
AI Data Specialist: This is a rapidly growing field. As an AI Data Specialist, you’ll work with data—the fuel that powers all AI systems. Your job will involve collecting, cleaning, and analysing large datasets to help AI models learn and make predictions. This can be a Level 7 apprenticeship, which is equivalent to a master's degree!
Machine Learning Engineer: Machine Learning (ML) is a subset of AI. As an ML Engineer apprentice, you’ll be responsible for building, testing, and deploying the algorithms that enable machines to learn from data. It’s a hands-on role that requires both technical skill and problem-solving abilities.
Robotics and Automation Technician: If you're more interested in the physical side of AI, a career in robotics might be for you. You could work on the design, maintenance, and programming of robotic systems used in manufacturing, healthcare, or logistics.
Data Analyst: Almost every business today relies on data to make decisions. Data Analysts use tools to interpret data and find valuable insights, often using AI-powered tools to make their work more efficient.
Q: Will AI take my job? A: This is a common fear, but experts agree that AI is more likely to change jobs rather than eliminate them entirely. Roles that require human creativity, critical thinking, problem-solving, and interpersonal skills—like those you'll learn in an apprenticeship—will be more secure. Instead of thinking of AI as a threat, see it as a tool that can make your future job more interesting and efficient.
Q: Do I need to be a coding genius to work in AI? A: Not necessarily! While many AI roles do involve coding, there are also positions that focus on the business side, ethics, or project management. You can start with an apprenticeship that teaches you the basics and build from there. The most important skills are a passion for learning, adaptability, and a knack for problem-solving.
Q: How do I get started? A: Research is key. Explore the different types of apprenticeships and vocational courses available in the UK. Websites like Not Going to Uni are perfect for this! Look at the entry requirements and see what qualifications you need. Many apprenticeships require GCSEs with a focus on Maths and IT, but some employers are more interested in your potential than your previous grades.
The future is bright, and it's powered by AI. By choosing an alternative to university, you can get ahead of the curve, build a fulfilling and high-earning career, and become one of the innovators shaping the world of tomorrow.
