Agency Partners
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.
In the past 12 weeks, the Artificial Intelligence Machine Learning job market in Italy has exhibited notable fluctuations. A significant peak occurred in week 21, with 126 new jobs posted, while the average weekly openings hovered around 10. Contrastingly, the job closure rate displayed a steady increase, culminating at 59 in week 27, highlighting a growing competitive landscape. This trend indicates that while opportunities for Artificial Intelligence Machine Learning Engineers are expanding, hiring managers must respond promptly to secure top talent, especially as this sector experiences heightened recruitment activity compared to other roles in the Italian tech market.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Amaris Consulting | Switzerland | Information Technology & Services | 2007 | 28 |
|
|
SISSA | null | null | null | 27 |
|
NTT DATA Europe & Latam | Spain | Information Technology & Services | 1967 | 23 |
|
Deloitte | United States | Management Consulting | 1845 | 16 |
|
BIP | Italy | Business Consulting And Services | null | 16 |
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 13 |
|
|
Capgemini Engineering | null | null | null | 12 |
|
|
PwC Italy | null | null | null | 12 |
|
Vertiv | United States | Electrical/electronic Manufacturing | 2016 | 11 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 10 |
In the current landscape of the Artificial Intelligence Machine Learning job market in Italy, there are 3,000 job openings competing for a talent pool of just 5,000 qualified professionals, yielding a jobs-to-talent ratio of 1:1.67. This ratio indicates a moderate hiring challenge for CTOs and hiring managers, as the demand slightly outpaces the available talent. In comparison, countries like Germany and France exhibit more favorable ratios, with Germany reporting 5,000 openings against a talent pool of 10,000 (1:2) and France having 4,500 openings versus a talent pool of 9,000 (1:2). Meanwhile, Spain presents a tighter market, with 3,500 openings and only 4,500 professionals (1:1.29). Given these insights, recruiting strategies for Artificial Intelligence Machine Learning Engineers in Italy should prioritize targeted outreach and upskilling initiatives to enhance the talent pool.
The current seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Italy reveals insightful trends for hiring managers. Entry-level positions account for 47% of the job market, followed by Mid-Senior level roles at 31%. Additionally, Associate positions contribute to 22% of the available opportunities, highlighting the growing potential for talent development within the sector.
In the Italian technology sector, the employment landscape for engineering roles reveals a clear preference for full-time positions, which account for 93% of the total job offerings. Internships constitute 5% of job opportunities, highlighting a growing focus on talent development in the industry. Meanwhile, contract roles make up 2%, demonstrating a modest but significant avenue for flexible employment arrangements.
The time to hire for Artificial Intelligence Machine Learning Engineer positions in Italy reveals significant patterns that hiring managers should consider. Notably, 405 candidates were hired within 30 days, indicating a robust demand for talent in this sector. The data also shows a gradual decline in hires as the time to hire increases, with only 7 candidates secured after 100 days. This suggests that recruitment strategies should prioritize efficiency to attract skilled professionals swiftly, particularly in light of the competitive nature of the Artificial Intelligence Machine Learning job market in Italy.
In the Italian job market for Artificial Intelligence Machine Learning Engineers, Milan dominates with 52% of the openings, indicating its pivotal role in the tech landscape. Following Milan, Rome accounts for 23% of job opportunities, reflecting its significance as a technology hub. Turin contributes 11% to the market, showcasing a growing interest in AI talent, while other cities, including Bologna, represent a smaller fraction of the overall job distribution.
In analyzing the Artificial Intelligence Machine Learning job market in Italy, certain technologies emerge as predominant in the field. Python leads the pack with a frequency of 9,008, making it the most utilized programming language for AI and Machine Learning applications. SQL follows closely with 3,637 instances, highlighting its importance in data manipulation and retrieval. Data Analysis, with a frequency of 2,107, and Data Science at 1,855, underscore the data-centric nature of this market. Additionally, Machine Learning stands at 5,056, confirming its fundamental role in AI development. The accompanying chart illustrates these trends, providing a clearer picture of technology preferences among candidates.
We've identified 100+ world-class agencies, drop us a line if you'd like to work with them.