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careers in AI and study pathways

  • Writer: Jeni
    Jeni
  • 24 hours ago
  • 2 min read

Artificial Intelligence (AI) is shaping the world around us—from voice assistants and self-driving cars to medical breakthroughs and creative tools. If you, or a young person you know is curious about technology and wants a career that’s exciting, future-proof, and impactful, AI could be the perfect path forward.


why AI?

AI is one of the fastest-growing industries globally. Companies need people who can design, build, and manage intelligent systems. The best part? There’s a wide range of roles, so whether the interest is in coding, problem-solving, data, or even communication, there’s a place for many people.


what jobs are out there?

Here are some of the most popular roles in AI:


  • Machine Learning Engineer - Builds algorithms that allow computers to learn from data. Skills: Programming (Python, R), math, statistics.

  • Data Scientist - Turns raw data into insights that drive decisions. Skills: Data analysis, visualisation, machine learning.

  • AI Researcher - Pushes the boundaries of what AI can do by developing new models and techniques. Skills: Advanced math, programming, research.

  • AI Ethics Specialist - Ensures AI systems are fair, transparent, and safe. Skills: Policy knowledge, critical thinking, communication.

  • AI Product Manager - Bridges the gap between technical teams and customers to deliver AI-powered products. Skills: Business strategy, communication, tech understanding.

  • Robotics Engineer - Combines AI with hardware to create intelligent machines. Skills: Engineering, programming, AI integration.

Man in glasses examines a white robot in a modern lab. Bright, minimalistic setting with a focused atmosphere.

how do you get there?

There’s no single route, but here are common pathways:


1. a-levels or equivalent

  • Maths – Essential for algorithms and data.

  • Computer Science – Great for programming fundamentals.

  • Physics – Helpful for robotics and problem-solving.


2. university degrees

  • Computer Science

  • Artificial Intelligence

  • Data Science

  • Robotics

  • Software Engineering

Some universities offer specialised AI courses, while others include AI modules in broader tech degrees.


3. apprenticeships

If university isn’t a suitable option, tech companies offer degree apprenticeships where you earn while you learn.


4. online learning

Platforms like Coursera, edX, and Udemy have beginner-friendly AI and coding courses. Many are free!


Five children collaborating on robotics at a table in a bright room. One holds a car model, others use laptops and tablets, sharing ideas.

5. coding bootcamps

Intensive programs that teach practical skills quickly—ideal if someone wants to enter the workforce fast.


top tips to start now with careers in AI

  • Learn Python—it’s the most popular language for AI.

  • Explore free tools like Google Colab to practice coding.

  • Join AI clubs or online communities.

  • Try building small projects, like chatbots or image classifiers.


AI isn’t just for tech geniuses—it’s for anyone curious and willing to learn. Start today, and you could be shaping the future tomorrow!


If you still need your English and maths, you can join asphaleia training and achieve those essential functional skills qualifications. If you're a current student and you'd like to know more about careers in AI, speak to your tutor or our Careers Advisor.

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