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.
Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Turin has showcased a notable trend. A total of five new positions were posted, with a peak of three openings in week 21. However, the demand appears to be tempered as 14 jobs were closed in the same period, indicating a net decrease and highlighting potential challenges in retention and skill alignment. In comparison to other roles within Italy and across Europe, the fluctuation in job openings and closures for AI/ML positions underscores a greater competitive landscape for talent, necessitating adaptive recruitment strategies for CTOs and hiring managers in Turin's tech sector.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Amaris Consulting | Switzerland | Information Technology & Services | 2007 | 28 |
|
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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 |
The talent market for Artificial Intelligence Machine Learning Engineers in Europe reveals significant disparities across countries. For instance, Italy has a count of job openings that suggests a competitive landscape, yet the talent pool size indicates a moderate availability of candidates. When compared to countries like Germany and France, which show higher ratios of job openings to talent pool, securing skilled professionals in Italy, particularly in Turin, may prove challenging. Furthermore, the growth in demand for Artificial Intelligence Machine Learning Developers is evident, yet the recruitment strategies for CTOs will need to adapt to the tightening market conditions. This context positions Italy as a strategic focal point for hiring trends within the broader European technology landscape.
In the Artificial Intelligence and Machine Learning job market in Italy Turin, the seniority distribution reveals a clear hierarchy among available positions. Entry-level roles constitute 37% of the job market, while Mid-Senior level positions account for 27%. Additionally, Internship roles represent 27% of the offerings, indicating a robust entry point for newcomers to this competitive sector.
In the Italian job market for engineering roles, Full-time positions dominate with 92% of the opportunities, followed by Internships at 4% and Contract roles at 3%. This distribution signifies a strong trend towards stable, long-term employment in the engineering sector, particularly for Artificial Intelligence and Machine Learning Engineers. Hiring managers should align their recruitment strategies accordingly to attract top talent in these categories.
The time to hire for Artificial Intelligence Machine Learning Engineer positions in Italy demonstrates a varied distribution, with the majority of candidates hired within a range of 30 to 35 days, accounting for 405 and 187 positions, respectively. A significant number of hires also fall within the 20 to 25 days bracket, totaling 186 hires, indicating a moderate pace of recruitment in the tech sector. This trend highlights a crucial insight for CTOs and hiring managers: while immediate availability of talent is limited, effective recruitment strategies can tap into skilled candidates within a reasonably short timeframe. Additionally, the necessity for optimized hiring processes becomes evident as hiring times exceed 40 days for over 50 positions, suggesting an opportunity for improvement in the recruitment process for Artificial Intelligence Machine Learning roles in Italy.
In the current job market for Artificial Intelligence Machine Learning Engineers in Italy, Milan leads with 54% of the job openings, followed by Rome at 24%. Turin accounts for 11% of the total opportunities, reflecting its emerging role in the tech landscape. This distribution highlights the significant concentration of talent acquisition efforts in major cities, particularly those such as Milan and Rome. Please refer to the accompanying chart for a detailed view of job distribution across these cities.
In analyzing the Artificial Intelligence Machine Learning job market in Italy, particularly in Turin, several key technologies emerge as essential for prospective candidates. Python, with a remarkable frequency of 9,008, stands out as the most commonly employed language, followed by Machine Learning at 5,056 and Data Analysis at 2,107. Additionally, SQL (3,637) and AWS (998) play significant roles in the technological toolbox of Machine Learning Engineers. The accompanying chart illustrates the prevalence of these technologies, highlighting their crucial importance in recruitment strategies for CTOs and hiring managers in Italy's tech sector.
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