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.
The job market for Artificial Intelligence Machine Learning Engineers in France Lyon has witnessed fluctuating activity over the past weeks. Notably, there was a peak of 4 new job postings during week 22, while job closures reached their highest at 8 in week 18, indicating a significant churn in this competitive role. In comparison to other sectors in the region, the dynamics of hiring for Artificial Intelligence Machine Learning positions reflect a challenging landscape, where the future demand for Machine Learning Engineers may require agile recruitment strategies from CTOs and Engineering Managers. Moreover, these trends align with broader changes observed in the European technology landscape, emphasizing the need for proactive engagement in recruiting top-tier talent.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 14 |
|
Mistral AI | France | Information Technology & Services | 2023 | 13 |
|
Meta | United States | Information Technology & Services | 2004 | 8 |
|
Kicklox | France | Information Technology & Services | 2015 | 7 |
|
Dynamo AI | United States of America | Software Development | 2021 | 7 |
|
Doctolib | France | Information Technology & Services | 2013 | 7 |
|
|
Thales | France | Information Technology & Services | 1893 | 6 |
|
|
Aubay | France | Information Technology & Services | 1998 | 5 |
|
Criteo | France | Marketing & Advertising | 2005 | 5 |
|
|
Devoteam Data Driven | null | null | null | 5 |
The recruitment landscape for Artificial Intelligence Machine Learning Engineers in Europe demonstrates a distinct variation across countries. For instance, France has a job openings count that reflects a competitive environment, with a talent pool that suggests a moderate hiring complexity. In comparison, Germany and the United Kingdom reveal a tighter job market with limited talent availability, making recruitment more challenging. Conversely, countries like Spain present a more favorable ratio of job openings to talent pool size, potentially easing hiring pressures. This disparity illustrates that while recruiting Artificial Intelligence Machine Learning talent in France Lyon may have its challenges, the market opportunities remain significant, warranting strategic recruitment approaches for CTOs and hiring managers.
In the burgeoning Artificial Intelligence Machine Learning job market in France Lyon, the seniority distribution reveals a clear trend. Mid-Senior level positions dominate the landscape, accounting for 41% of available jobs. This is followed by Associate roles at 22% and Entry level positions at 21%, highlighting a potential focus area for recruitment strategies targeting mid to junior talent in this sector.
The employment type distribution for engineering roles in France reveals that 89% of positions are full-time, reflecting the strong demand for stable, long-term talent in the tech sector. Internships account for 5% of roles, indicating a focus on nurturing emerging talent. Contract positions make up 4% of the market, showcasing a moderate reliance on flexible employment arrangements.
The time to hire for Artificial Intelligence and Machine Learning Engineers in France Lyon exhibits notable distribution characteristics that hiring managers should consider. A majority of candidates, specifically 401, are hired within a time frame of 30 days, indicating a healthy demand for talent in this sector. Furthermore, recruitment efforts spanning between 25 to 35 days comprise 481 placements, pointing towards a potential window for optimizing recruitment strategies. However, as we see hiring extend beyond 40 days, numbers decline significantly, with only 142 candidates hired at 40 days and decreasing to 23 after 100 days. This insight emphasizes the critical need for efficient recruitment strategies to secure top talent in a competitive job market.
In the analysis of the job market for Artificial Intelligence Machine Learning Engineers in France, it is notable that Paris dominates with 87% of the total job openings, featuring 2,116 positions. Lyon follows with 9% of the openings, amounting to 223 jobs, while Toulouse holds 4% with 142 listings. This distribution highlights Paris's significant role in the AI job market compared to other cities, underscoring the importance of considering location when strategizing recruitment efforts.
In the rapidly evolving Artificial Intelligence and Machine Learning job market in France, particularly in Lyon, certain technologies are emerging as pivotal. Notably, Python leads with a frequency of 12,956, underscoring its significance for developers. Following closely are SQL and Machine Learning, with frequencies of 5,487 and 7,420 respectively, highlighting their integral role in data manipulation and analysis. Additionally, AI technologies, with a frequency of 4,926, reflect the growing focus on innovative solutions. These insights can be referenced in the accompanying chart, which illustrates the most commonly used technologies.
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