Machine Learning Developer Hiring Trends in 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 indicates considerable fluctuations, with a peak of 35 new roles posted in week 21 and only 3 new openings in subsequent weeks, highlighting the urgent need for efficient recruitment strategies.
The talent pool for Artificial Intelligence Machine Learning Engineers in Belgium offers a competitive hiring landscape, yet it features a moderate ratio of available candidates to job openings, necessitating targeted recruitment efforts.
Brussels is the dominant city for Artificial Intelligence job opportunities, comprising 77% of the market, followed by Antwerp and Leuven, each at 14%, showcasing the geographic concentration of talent in the region.
Key technologies, including Python, Machine Learning frameworks, and SQL, remain central to the skill sets required for successful candidates, making them vital considerations for hiring managers.
The median time to hire for Artificial Intelligence Engineers in Belgium is 32 days, with nearly 30% of candidates being hired within 10 to 15 days, indicating the need for streamlined hiring processes to attract top talent quickly.

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

Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Belgium has exhibited notable fluctuations. Initially, there was a peak in week 21 with 35 new roles posted, but subsequently, the market saw a sharp decline, with only 3 new openings recorded in both week 22 and week 23. In comparison, the closure of jobs has been consistent, with a notable high of 41 positions closed in week 22, indicating a high turnover in the market. This trend of increasing job closures juxtaposed with sporadic openings underscores the urgent need for recruitment strategies tailored for CTOs in Belgium's tech sector, particularly as demand for AI and Machine Learning talent remains robust across Europe.

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

The job market for Artificial Intelligence Machine Learning Engineers in Belgium reflects significant competition amidst a growing demand. Currently, Belgium has a ratio of talent pool size to job openings that suggests a moderate hiring environment. Comparatively, the Netherlands presents a tighter market with fewer available candidates per job opening, while Germany showcases a larger talent pool that may ease recruitment efforts. France, on the other hand, is witnessing a similar trend to Belgium with a competitive ratio, making it crucial for hiring managers to refine their recruitment strategies. Overall, sourcing qualified Artificial Intelligence Machine Learning Engineers in Belgium can be challenging, requiring proactive engagement and attractive offerings to secure top talent.

Seniority distribution of Machine Learning Engineer job openings in Belgium

Seniority Distribution of Machine Learning Engineering Jobs in Belgium

In the Belgian job market for Artificial Intelligence Machine Learning Engineers, the seniority distribution reveals notable insights. The Mid-Senior level positions account for 48% of the available roles, while Entry level jobs represent 29%. Additionally, Associate roles make up 13% of the job offerings. This data highlights the prevalence of Mid-Senior level expertise within the evolving landscape of artificial intelligence and machine learning.

Preferred employment type for Engineering roles in Belgium

In Belgium's engineering sector, the employment type distribution reveals a significant preference for full-time positions, accounting for 90% of the job market. Contract roles follow at 9%, while part-time opportunities represent a mere 1%. This data underscores the competitive landscape for Artificial Intelligence Machine Learning Engineers, emphasizing the firm demand for stable, long-term engagements within this growing field.

Time to Hire Distribution for Artificial Intelligence in Belgium

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Machine Learning Engineers in Belgium reveals significant trends for hiring managers in the tech sector. A considerable portion of candidates, accounting for approximately 29.7%, were hired within a 10 to 15-day timeframe, indicating a relatively swift hiring process. Approximately 36% of hires occurred within 20 to 30 days, suggesting that the recruitment strategy should focus on optimizing hiring timelines for critical roles. However, a notable 22.5% of candidates took 35 days or longer to secure a position, underscoring the competitive nature of the job market in this field. For CTOs and recruiting professionals, understanding these metrics is essential for developing effective recruitment strategies that align with the evolving demands of Artificial Intelligence Machine Learning job market trends in Belgium.

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Most popular cities in Belgium to hire Artificial Intelligence Engineers

Top 5 cities in Belgium to hire Artificial Intelligence Engineers

Brussels leads the job market for Artificial Intelligence Machine Learning Engineers in Belgium, accounting for 77% of the total positions available. Antwerp and Leuven each represent 14% of the market. Ghent follows closely with 12%, emphasizing the concentration of opportunities in the capital and key cities. For visual representation, please refer to the accompanying chart.

Most sought after technologies in Belgium for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Belgium, certain technologies have emerged as frontrunners. Python remains the most utilized programming language, boasting a frequency of 6,500. Following this, Machine Learning and SQL are critical, with frequencies of 3,788 and 2,543, respectively. Data Science and Data Analysis also play significant roles, evidenced by their respective frequencies of 1,439 and 1,303. Additionally, AI, with a frequency of 2,217, underlines its importance in modern applications. This information is further illustrated in the accompanying chart, which highlights technology trends shaping Artificial Intelligence Machine Learning opportunities in Belgium.

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