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 Israel has shown notable fluctuations over the past 12 weeks. A peak of 32 new job openings was recorded in week 26, indicating a strong ongoing demand for these roles. However, this surge contrasts sharply with the average number of jobs closed each week, which reached a high of 78 openings in week 19. This disparity highlights a retention challenge within the sector, suggestive of a competitive landscape for talent acquisition. Compared to other European countries, the growth rate for Artificial Intelligence Machine Learning roles in Israel is outpacing many regions, underlining the importance of well-defined recruitment strategies for CTOs and hiring managers in the Israeli tech sector.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
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NVIDIA | United States | Computer Hardware | 1993 | 28 |
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Lightricks | Israel | Information Technology & Services | 2013 | 13 |
|
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Amazon Web Services (AWS) | null | null | null | 10 |
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Microsoft | United States | Information Technology & Services | 1975 | 10 |
|
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Mobileye | Israel | Automotive | 1999 | 8 |
|
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DriveNets | Israel | Information Technology & Services | 2015 | 7 |
|
Meta | United States | Information Technology & Services | 2004 | 6 |
|
Taboola | United States | Information Technology & Services | 2007 | 6 |
|
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HoneyBook | United States | Information Technology & Services | 2013 | 5 |
|
|
Varonis | United States | Computer & Network Security | 2005 | 5 |
The talent market for Artificial Intelligence Machine Learning Engineers shows significant variation across Europe, with Israel presenting unique challenges in hiring. For instance, while countries like Germany and the Netherlands report a balanced ratio of job openings to available talent, Israel's ratio indicates a tighter talent pool. With a limited number of job openings relative to the talent available in Germany, and a growing demand in France, hiring managers in Israel may face increased competition for skilled professionals. As such, recruitment strategies for CTOs and engineering leaders in Israel's tech sector must evolve to address these constraints, positioning them effectively in a challenging job market.
The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Israel reveals a notable concentration at the Mid-Senior level, comprising 81% of available positions. This is followed by Entry level roles at 10% and Associate positions at 6%. This distribution underscores the current demand for experienced professionals in the AI and Machine Learning sectors, reflecting broader trends in the recruitment strategies for CTOs in Israel's tech sector.
In Israel's tech sector, the distribution of employment types for engineering roles reveals a clear preference for full-time positions, which constitute 98% of the job market. Contract roles represent a mere 2% of the market, while part-time employment accounts for less than 1%. This data highlights the strong demand for stable employment in the Artificial Intelligence and Machine Learning job market in Israel, informing recruitment strategies for CTOs and hiring managers.
The time to hire distribution for Artificial Intelligence jobs in Israel reveals a notable trend in recruitment dynamics. The majority of candidates are hired within a timeframe of 30 to 35 days, with the highest count of hires occurring at the 30-day mark, totaling 200 positions. As hiring managers evaluate the job market trends for Artificial Intelligence Machine Learning Engineers, it's crucial to recognize that while candidates are available, the demand for swift yet effective recruitment strategies remains essential. The data indicates a gradual decrease in hiring rates past 35 days, underscoring the importance of timely decision-making in attracting top talent in the competitive landscape of Israel's tech sector. This insight is particularly relevant for CTOs and Engineering Managers planning for future demand in the Artificial Intelligence Machine Learning job market in Israel.
The distribution of job openings for Artificial Intelligence Engineers in Israel reveals a strong concentration in major urban centers. Tel Aviv accounts for 68% of the total job openings, making it the leading city for Artificial Intelligence talent. Following closely is Tel Aviv-Yafo, representing 24% of the available positions, while Herzliya contributes 10% to the job market. This data underscores the capital's dominance in the recruitment landscape for Artificial Intelligence Machine Learning Engineers, as illustrated in the accompanying chart.
In the dynamic landscape of the Artificial Intelligence Machine Learning job market in Israel, several technologies are proving indispensable for candidates. Python stands out with the highest frequency of usage, noted at 9,798 instances, highlighting its dominance in machine learning applications. Following closely are SQL (4,088), Machine Learning (5,478), and Data Analysis (2,453), which are crucial for data manipulation and model training. Additionally, AWS and Data Engineering are also prominent, signaling a robust demand for cloud infrastructure expertise. As illustrated in the accompanying chart, these technologies are not just popular but essential for professionals seeking opportunities as Artificial Intelligence Machine Learning Engineers in Israel.
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