Machine Learning Developer Hiring Trends in Brussels, Belgium

This report was last updated on Aug 16, 2025

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 job market for Artificial Intelligence Machine Learning Engineers in Belgium Brussels is dynamic, with a total of 1,200 current job openings and a talent pool of approximately 4,000 qualified candidates, translating to a jobs-to-talent ratio of 3.33.
Over the last 12 weeks, there has been significant fluctuation in job openings for these roles, peaking at 15 new positions in week 31 while also experiencing high closure rates, indicating a competitive hiring landscape.
Brussels is the leading city for job openings, accounting for 57% of the total postings, followed by Antwerp and Leuven, each contributing 13%, making these regions key areas for recruitment in the Artificial Intelligence Machine Learning sector.
The seniority distribution reflects a market trend dominated by mid-senior level positions (55%), with entry level roles at 31% and associate positions at 10%, suggesting a preference for candidates with relevant experience in hiring strategies.
With a median time to hire for Artificial Intelligence Engineers at 32 days and a notable number of positions filled within the 10 to 30-day range, hiring managers must implement efficient recruitment strategies to remain competitive in attracting top talent.

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 exhibited fluctuating trends. Notably, week 31 marked a peak with 15 new job openings. However, this rise comes amidst a backdrop of significant job closures, with peaks of up to 13 positions closed in week 27 and 12 in week 22. As hiring managers analyze these trends, it's imperative to note that the high disparity between openings and closures signals a competitive landscape for talent acquisition, potentially necessitating innovative recruitment strategies for CTOs in Belgium Brussels's tech sector. Moreover, compared to other European countries, Belgium’s market appears to be increasingly dynamic, indicating a burgeoning demand for Senior Artificial Intelligence Machine Learning Developers.

Who else is hiring for ai Engineers in Belgium:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	17
dataroots	Belgium	Information Technology & Services	2016	10
Axelera AI	Netherlands	Semiconductors	2021	9
Cegeka	Belgium	Information Technology & Services	1992	7
KU Leuven	null	null	null	6
TieTalent	Switzerland	Information Technology & Services	2017	4
ATS NV	Belgium	Machinery	1984	4
Keyrus	France	Information Technology & Services	1996	3
team.blue	Belgium	Information Technology & Services	2019	3
Devoteam	France	Management Consulting	1995	3

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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

In Belgium, the job market for Artificial Intelligence and Machine Learning Engineers is characterized by a notable imbalance between job openings and the available talent pool. With a current count of 1,200 job openings and a talent pool of 4,000 qualified candidates, Belgium exhibits a jobs-to-talent ratio of 3.33, suggesting a moderate recruitment landscape. This trend is echoed in neighboring countries such as Germany (1,800 job openings with a talent pool of 5,500, resulting in a ratio of 3.06), and the Netherlands (1,500 openings with a talent pool of 4,200, yielding a ratio of 2.80). In comparison, France presents a more challenging scenario with 1,600 openings against a talent pool of only 3,000, translating to a ratio of 1.88. Given these insights, hiring for Artificial Intelligence and Machine Learning roles in Belgium could be seen as easier than in France, though still competitive, necessitating strategic recruitment approaches for CTOs and hiring managers in the region.

Seniority distribution of Machine Learning Engineer job openings in Brussels

Seniority Distribution of Machine Learning Engineering Jobs in Brussels

In the competitive Artificial Intelligence Machine Learning job market in Belgium, particularly in Brussels, Mid-Senior level positions dominate with 55% of available roles. This is followed by Entry level positions at 31%, and Associate roles accounting for 10%. These insights into seniority distribution underline the current hiring trends and will help CTOs and recruiters navigate the landscape effectively.

Preferred employment type for Engineering roles in Belgium

In Belgium, the employment type distribution for engineering roles reveals that the majority of positions are full-time, accounting for 90% of the job market with 28,569 roles available. Contract positions follow, comprising 10% with a total of 3,106 opportunities. Part-time roles and internships collectively make up a small fraction, with part-time roles at 1% and internships at less than 1%.

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 Engineers in Belgium reveals important trends for hiring managers in the tech sector. The majority of positions are filled within the 10 to 30-day range, with 169 placements at 10 days and 158 at 30 days. This signifies a competitive landscape that demands efficient recruitment strategies, particularly in Brussels, where the market for Artificial Intelligence Machine Learning jobs continues to grow. Notably, there are 40 cases at the 5-day mark, indicating an increasing urgency among companies to secure talent quickly. As the demand for Senior Artificial Intelligence Machine Learning Developers surges, recruiters must be prepared to adapt their hiring timelines accordingly.

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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 reveals a significant concentration in major cities. Brussels leads with 57% of the total job postings, followed by Antwerp and Leuven, each accounting for 13%. Ghent contributes 12% to the overall job market, making these cities key players in the Artificial Intelligence Machine Learning job market in Belgium, particularly for hiring managers and recruiters.

Most sought after technologies in Brussels for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Belgium, particularly in Brussels, certain technologies stand out as essential for professionals in this field. According to the attached chart, Python leads with a remarkable frequency of 6,500, establishing itself as the primary programming language. Following closely is SQL, with a usage frequency of 2,543, essential for data manipulation and querying. Machine Learning is not far behind with 3,788, highlighting its critical role in AI applications. Data Science and Data Analysis also show significant presence, with frequencies of 1,439 and 1,303 respectively, indicating a strong emphasis on extracting insights from complex datasets. Furthermore, foundational technologies such as Java and AWS, with frequencies of 1,069 and 803, continue to empower deployments and scalability in AI solutions.

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