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Machine Learning Developer Hiring Trends in Brussels, Belgium

This report was last updated on Sep 6, 2025

Bence Gedai / Founder

Bence Gedai

Founder

I analyze live hiring data and tech job trends across Europe to give CTOs and Product Leaders a strategic edge. By tracking tens of thousands of open roles each week, I uncover which skills, roles, and locations are in highest demand — potential competitors, typical time to hire, talent pool sizes, and more to help you prioritize hiring, benchmark and stay competitive in a fast-moving market.

Key learnings from this report

  • The Artificial Intelligence and Machine Learning Engineers job market in Belgium, specifically in Brussels, is characterized by a dynamic hiring landscape over the past three months, with a peak of 19 new job postings in week 33, showcasing significant demand.
  • Competitively, Belgium's talent pool for AI and Machine Learning Engineers supports 90% of full-time positions, with the seniority distribution revealing a strong preference for mid-senior level professionals, comprising 51% of roles available.
  • The primary cities for hiring Artificial Intelligence Engineers include Brussels, which holds a commanding 73% of job openings, followed by Antwerp and Leuven, emphasizing the concentration of opportunities in metropolitan areas.
  • Key hiring companies in this sector include dataroots, Cegeka, and Canonical, which are leading the charge in filling roles and indicating strong employer interest in Artificial Intelligence Machine Learning talent in Belgium.
  • With a median time to hire of just 33 days and a competitive job market, hiring managers in Belgium must rapidly develop effective recruitment strategies to secure top candidates amidst growing demand for Artificial Intelligence Machine Learning professionals.
Number of roles opened and closed for Machine Learning Engineers in Brussels in the last 3 months

Number of roles opened and closed for Machine Learning Engineers in Brussels in the last 3 months

Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Belgium Brussels has demonstrated notable fluctuations. The number of new job postings peaked significantly during weeks 31 and 33, with 15 and 19 positions respectively, indicating a burgeoning demand. However, the landscape is met with closures, as evidenced by a consistent rate of job closures peaking at 13 in week 28, suggesting a competitive market where talent acquisition is crucial. Comparing these trends to other technology roles in Belgium Brussels, it is evident that demand for AI and Machine Learning positions is relatively robust, positioning them favorably against broader European hiring trends in this sector.

Who else is hiring for ai Engineers in Belgium:

Company name Country Industry Founded # Job openings
Canonical logo Canonical United Kingdom Information Technology & Services 2004 20
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 13
dataroots logo dataroots Belgium Information Technology & Services 2016 9
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 8
Cegeka logo Cegeka Belgium Information Technology & Services 1992 7
KU Leuven logo KU Leuven null null null 6
Microsoft logo Microsoft United States Information Technology & Services 1975 6
Vivid Resourcing logo Vivid Resourcing United Kingdom Staffing & Recruiting 2009 5
team.blue logo team.blue Belgium Information Technology & Services 2019 4
Devoteam logo Devoteam France Management Consulting 1995 4

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Talent pool vs job openings for Artificial Intelligence Engineers in Belgium

How competitive it is to hire Artificial Intelligence Engineers in Belgium

The current job market for Artificial Intelligence Machine Learning Engineers in Belgium is becoming increasingly competitive, with there being a significant ratio of available job openings compared to the size of the talent pool. With a growing demand in Brussels, hiring managers will find it essential to understand the dynamics at play. For instance, countries like Germany, the Netherlands, and France also exhibit robust job opportunities for AI Machine Learning Engineers, but their talent pools are comparably saturated, indicating a tighter hiring landscape. In contrast, Belgium presents a slightly more favorable hiring condition, though it's still a challenge for CTOs and engineering managers looking to attract top talent. As such, devising effective recruitment strategies tailored to Belgium's tech sector will be crucial for success.

Seniority distribution of Machine Learning Engineer job openings in Brussels

Seniority Distribution of Machine Learning Engineering Jobs in Brussels

The seniority distribution of Artificial Intelligence Machine Learning Engineering positions in Belgium Brussels reveals a significant demand for Mid-Senior level professionals, accounting for 51% of the job market. Entry level roles comprise 23%, while Associate positions represent 7% of the openings. This trend implies a robust market for experienced candidates while simultaneously highlighting opportunities for emerging talent in the region.

Chart about preferred employment type for Engineering roles in Belgium

Preferred employment type for Engineering roles in Belgium

In the Belgian tech sector, the employment landscape for engineering roles is predominantly full-time, accounting for 90% of the positions available. Contract roles represent a significant portion as well, comprising 9% of the job market. Meanwhile, part-time employment accounts for a smaller share at 1%, highlighting the preference for stable, full-time opportunities among professionals seeking careers as Artificial Intelligence and Machine Learning Engineers in Belgium, especially within Brussels.

Time to Hire Distribution for Artificial Intelligence in Belgium

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineer positions in Belgium exhibits a varied distribution, with the majority of candidates being hired within a range of 10 to 30 days. Specifically, 158 hires took place at the 10-day mark, followed by 128 at 30 days, indicating a competitive job market for Artificial Intelligence Machine Learning job market in Belgium Brussels. Notably, only a few positions extended beyond the 100-day threshold, which reflects both the urgency and demand for skilled professionals in this sector. Recruiters targeting Artificial Intelligence Machine Learning Developer opportunities in Belgium Brussels should consider these timelines when formulating recruitment strategies, as aligning hiring processes with these trends can enhance their chances of attracting top talent.

Expolore reports from other European Developer talent pools

Most popular cities in Belgium to hire Artificial Intelligence Engineers

Top 5 cities in Belgium to hire Artificial Intelligence Engineers

In Belgium, the distribution of job openings for Artificial Intelligence Engineers is predominantly centered in the capital, Brussels, which accounts for 73% of all relevant positions. Antwerp follows with 16% of the job market, while Leuven represents 15%. The attached chart provides a visual representation of this data, illustrating the concentration of opportunities within these key cities.

Most sought after technologies in Brussels for Machine Learning

Key technologies for Machine Learning Engineers

In the vibrant Artificial Intelligence and Machine Learning job market in Belgium, particularly in Brussels, several technologies are prominently utilized. According to recent data, Python leads as the most essential programming language with a frequency of 5,248, followed by Machine Learning itself, which appears 3,149 times. SQL is also critically important, ranking third with a usage frequency of 1,995, while Data Science is highly relevant at 1,229. Additionally, R and Java maintain their significance, being listed with frequencies of 716 and 921 respectively. This data underscores the importance of these technologies for hiring managers and CTOs looking to attract top talent in the AI and ML sectors, a point further illustrated in the accompanying chart.

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