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Machine Learning Developer Hiring Trends in 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 Machine Learning job market in Belgium is currently showing a positive growth trend, with notable fluctuations in job openings, highlighting a robust demand for Artificial Intelligence Machine Learning Engineers.
  • Over the last 12 weeks, there has been a significant peak in job postings for Machine Learning Engineers, with 46 new roles introduced in week 33, contrasting with 25 closures in week 31, indicating future demand.
  • The talent pool for Artificial Intelligence Machine Learning Engineers in Belgium remains relatively moderate compared to the high number of job openings, making it a competitive hiring landscape that requires innovative recruitment strategies for CTOs.
  • The main hubs for Artificial Intelligence Machine Learning Engineer opportunities in Belgium are primarily concentrated in Brussels (74%), followed by Antwerp (16%) and Leuven (15%), emphasizing the strategic locations for recruitment efforts.
  • The median time to hire for Artificial Intelligence Engineers in Belgium is currently 33 days, with most hires occurring within 10 to 30 days, underscoring the importance of timely recruitment strategies to attract qualified candidates.
Number of roles opened and closed for Machine Learning Engineers in Belgium in the last 3 months

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

Over the past 12 weeks, the Artificial Intelligence Machine Learning Engineer job market in Belgium has exhibited notable fluctuations. The weekly job postings peaked significantly in week 33, with 46 new roles introduced, reflecting a robust interest in this sector. Conversely, the closure of positions has demonstrated a consistent trend, with a high of 25 jobs closed in week 31. Notably, the net job postings remain positive, suggesting a future demand for Artificial Intelligence Machine Learning Engineers in Belgium. In comparison, this growth trend appears more stable than other tech roles in the region, indicating a favorable environment for hiring Senior Artificial Intelligence Machine Learning Developers.

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 talent market for Artificial Intelligence Machine Learning Engineers in Europe reveals noteworthy disparities among countries, particularly Belgium, Germany, and the Netherlands. In Belgium, the count of job openings is significantly high against a relatively moderate talent pool, leading to a challenging hiring environment as indicated by higher ratios in neighboring countries. Germany, with its robust technology sector, offers a larger talent pool relative to its job openings, suggesting easier recruitment. The Netherlands also showcases a favorable balance, allowing for more efficient talent acquisition. Consequently, hiring managers in Belgium may encounter considerable difficulty in sourcing qualified Artificial Intelligence Machine Learning Engineers, necessitating innovative recruitment strategies to remain competitive in this dynamic job market.

Seniority distribution of Machine Learning Engineer job openings in Belgium

Seniority Distribution of Machine Learning Engineering Jobs in Belgium

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Belgium reveals that 56% of positions are at the Mid-Senior level, followed by 27% at the Entry level, and 13% at the Associate level. This high concentration of Mid-Senior level roles underscores the demand for experienced professionals in the job market, making targeted recruitment strategies essential for CTOs and hiring managers in Belgium's tech sector.

Chart about preferred employment type for Engineering roles in Belgium

Preferred employment type for Engineering roles in Belgium

The employment type distribution for engineering roles in Belgium reveals a strong preference for full-time positions, which comprise 90% of the job market. In contrast, contract roles account for 8%, while part-time opportunities represent a mere 1% of total employment types. This data underscores the robust demand for Artificial Intelligence Machine Learning Engineers in Belgium, emphasizing the need for hiring managers to align their recruitment strategies with the prevailing market trends.

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 roles in Belgium reveals a notable distribution. A majority of candidates are secured within a timeframe of 10 to 30 days, with a peak hiring count of 158 at the 10-day mark and 128 at 30 days. This indicates a strong talent pool that organizations can tap into promptly, which is crucial for hiring managers in the technology sector. However, there is also a significant number of hires taking between 35 to 55 days, highlighting the potential need for refined recruitment strategies tailored to attracting Senior Artificial Intelligence Machine Learning Developers efficiently. As competition intensifies in the Artificial Intelligence Machine Learning job market in Belgium, understanding these timeframes will allow CTOs and Engineering Managers to better strategize their hiring processes.

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 location distribution of Artificial Intelligence Engineers job openings reveals a significant concentration in the capital, Brussels, which accounts for 74% of the total job listings. Antwerp follows with 16% of the openings, while Leuven contributes 15%. This data underscores the centrality of Brussels as a primary hub for talent in the Artificial Intelligence Machine Learning job market in Belgium, as illustrated in the accompanying chart.

Most sought after technologies in Belgium for Machine Learning

Key technologies for Machine Learning Engineers

In the current landscape of the Artificial Intelligence Machine Learning job market in Belgium, several key technologies have emerged as pivotal for candidates. Python leads the way with a frequency of 5,248, highlighting its central role in the development of AI and machine learning applications. Following closely are SQL and Machine Learning, with frequencies of 1,995 and 3,149, respectively. Additionally, the use of data analysis techniques and tools, exemplified by Data Science at 1,229 and R at 716, underscore the analytical demands of these roles. These insights, illustrated in the accompanying chart, provide hiring managers with a clear view of the technical skills that are highly sought after in candidates for Artificial Intelligence Machine Learning Engineer positions.

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