Working in AI: Professions, salaries, training, and tips for success

Are you interested in a career in artificial intelligence but uncertain where to begin? Good news: this rapidly growing industry is looking for a wide range of talents, far beyond just engineers. Jobs, salaries, training… Here’s everything you need to know to start or jumpstart your career in AI.

Why consider a career in artificial intelligence?

An industry on the rise in the age of datafication

Artificial intelligence is ubiquitous. Every day, we generate billions of data points through our online activities, connected devices, and simple searches. This datafication of the world makes AI a crucial tool for innovation, prediction, and automation. This sector is rapidly growing, fueled by technological advances, business demands, and public expectations. In 2025, not comprehending AI could result in being dominated by it. It’s better to become an active participant.

Diverse profiles sought: it’s not just for engineers

Working in AI doesn’t mean you’ll be coding all day long. Quite the opposite. While technical profiles like data scientists or AI engineers are in demand, hybrid profiles are also needed: project management, ethics, UX, communication, marketing… If you’re creative, a career switcher, or just curious about a new field, there’s a place for you here. What’s crucial is contributing human value to the machine. No algorithm can replace that.

Solid prospects despite fears of job losses

It’s often suggested that AI will replace jobs. That’s partly true… and completely false. Yes, some roles are evolving. But new, more skilled, strategic, and creative positions are emerging. AI doesn’t eliminate work; it transforms it. By training now, you’re ensuring a competitive edge. Even better, you’ll be part of the team shaping AI’s future.

What are the job prospects in artificial intelligence for 2025?

Data Scientist

The Data Scientist is the brain behind the data. They gather, clean, analyze, and model to make forecasts. They are proficient in Python, statistics, machine learning… but most importantly, they know how to ask the right questions. This is one of the most sought-after and highest-paying roles in the field.

Artificial Intelligence Engineer

The AI engineer develops intelligent systems capable of learning, adapting, and acting. They work on everything from computer vision to NLP, and neural networks, among others. It’s a technical yet thrilling role, central to innovation.

Machine Learning Engineer

The Machine Learning Engineer specializes in machine learning algorithms. Their tasks involve training models, tuning parameters, and optimizing performance. This role demands rigor, curiosity, and a tenacious approach to algorithms.

Natural Language Processing (NLP) Specialist

Are you passionate about words and machines? The NLP Specialist bridges human language and computing. They work on chatbots, machine translators, voice assistants, and more. This is an exciting field where linguistics meets AI.

Prompt Engineer and AI Trainer

These are two new roles emerging with the rise of generative AIs. The Prompt Engineer crafts the best queries for precise outcomes. The AI Trainer focuses on training models to better understand the world. These roles are perfect for those who love experimentation, testing, and refining.

What are the salaries in artificial intelligence?

Salary breakdown by role (junior/senior)

Salaries in AI are attractive. Here’s a snapshot:

• Data Scientist: from €40,000 to €75,000
• AI Engineer: from €45,000 to €85,000
• Machine Learning Engineer: up to €90,000
• NLP Specialist: between €50,000 and €80,000

Of course, these figures can vary based on location, experience, and the employer.

AI: a sector more lucrative than average

To be clear: AI compensates better than average. Why? Because it demands rare, specialized skills, and creates value. It’s a field where effort is rewarded, and where salary growth is quick.

Differences based on experience and specialization

A junior in AI could double their salary in five years. The more you specialize — whether it’s in deep learning, ethical AI, or NLP — the more valuable your profile becomes. Investing time in developing your skills is investing in your future.

What education is required to work in artificial intelligence?

Is a degree essential for success?

No, not necessarily. Many AI professionals are self-taught or have taken short training programs. What’s important is what you can do, not just your resume. That being said, a recognized certification or degree is still a strong asset for employers.

Short vs. long programs: what to choose?

No, not necessarily. Many AI professionals are self-taught or have taken short training programs. What’s important is what you can do, not just your resume. That being said, a recognized certification or degree is still a strong asset for employers.

Short vs. long programs: what to choose?

It depends on your circumstances. An intensive program (bootcamp) is great for quick career changes. A longer path (Master’s, MSc) is more suitable if you’re aiming for technical or academic positions. The best choice? Opt for a modular and practical course that fits your schedule.

AI training with Liora:

At Liora, we offer flexible (bootcamp, part-time, or work-study) and certifying training. Whether you’re starting fresh or have some experience, you’ll apply your skills through capstone projects and personalized mentorship. Our goal: to get you job-ready quickly, with skills aligned with market needs.

Conclusion

A career in artificial intelligence is no longer an exclusive option for a technical elite. It’s an open opportunity, available to anyone looking to evolve, reinvent themselves, or simply find purpose in their professional life. Whether you’re a novice, transitioning careers, or already in tech, AI positions are available, salaries are appealing, and demand continues to grow. By training today, you gain an advantage in a fast-evolving marketplace. Enroll in one of our AI training courses