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Machine Learning Developer Hiring Trends in Herzliya, Israel

This report was last updated on Jul 27, 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 Israel Herzliya has witnessed a challenging landscape, with 11 new roles emerged in recent weeks while 16 positions were closed, reflecting a significant gap that hiring managers need to navigate.
  • The competitive market dynamics also suggest a heightened demand for experienced professionals, as 84% of job openings are at the Mid-Senior level, indicating a need for skilled Artificial Intelligence Machine Learning Engineers.
  • With only 10% of job opportunities located in Herzliya compared to the 64% in Tel Aviv and 23% in Tel Aviv-Yafo, hiring managers should strategically focus on these hubs for talent acquisition.
  • The dominant preference for full-time positions (98% of roles) in the Engineering sector emphasizes the need for long-term commitments from candidates, a crucial consideration for CTOs and Engineering Managers in their recruitment strategies.
  • Given the median time to hire for Artificial Intelligence Machine Learning Engineers in Israel is 34 days, it is vital for hiring managers to streamline their hiring processes to remain competitive in this tight job market.
Number of roles opened and closed for Machine Learning Engineers in Herzliya in the last 3 months

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

In recent weeks, the Artificial Intelligence Machine Learning job market in Israel Herzliya has shown fluctuating trends, with a total of 11 new jobs posted over the last seven weeks. However, during the same period, there have been 16 job closures, indicating a concerning trend where the number of positions closed significantly outweighs new openings. This disparity highlights potential challenges for hiring managers and CTOs in the region, especially when compared to other European tech landscapes, where job growth for similar roles may be more stable. As the demand for Artificial Intelligence Machine Learning Engineers continues to evolve, it is crucial for recruitment strategies in Israel Herzliya to adapt to these trends and seek innovative ways to attract talent.

Who else is hiring for ai Engineers in Israel:

Company name Country Industry Founded # Job openings
NVIDIA logo NVIDIA United States Computer Hardware 1993 34
Lightricks logo Lightricks Israel Information Technology & Services 2013 13
Microsoft logo Microsoft United States Information Technology & Services 1975 10
Amazon Web Services (AWS) logo Amazon Web Services (AWS) null null null 8
Mobileye logo Mobileye Israel Automotive 1999 7
Red Hat logo Red Hat United States Information Technology & Services 1993 6
Taboola logo Taboola United States Information Technology & Services 2007 6
DriveNets logo DriveNets Israel Information Technology & Services 2015 6
Elbit Systems Israel logo Elbit Systems Israel United States Defense & Space 1967 5
HoneyBook logo HoneyBook United States Information Technology & Services 2013 5

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Talent pool vs job openings for Artificial Intelligence Engineers in Israel

How competitive it is to hire Artificial Intelligence Engineers in Israel

The talent market for Artificial Intelligence Machine Learning Engineers presents significant challenges across Europe, with varying ratios of job openings to available talent pools. For instance, Israel has a notable number of job openings, but its talent pool is relatively constrained, resulting in a higher jobs to talent ratio, indicating that hiring can be quite difficult. In contrast, Germany and France showcase a more balanced environment with a larger talent pool, which eases recruitment efforts for CTOs seeking these specialized roles. Similarly, the United Kingdom also experiences a competitive market but benefits from a more extensive talent base. As the demand for Artificial Intelligence Machine Learning Engineers continues to grow, particularly in locations like Herzliya, hiring managers must adopt tailored recruitment strategies to navigate this complex hiring landscape effectively.

Seniority distribution of Machine Learning Engineer job openings in Herzliya

Seniority Distribution of Machine Learning Engineering Jobs in Herzliya

In the competitive landscape of Artificial Intelligence Machine Learning Engineer positions in Israel Herzliya, the seniority distribution reveals key trends. The Mid-Senior level stands out with 84% of job openings, indicating a significant demand for experienced professionals. Meanwhile, Entry level opportunities account for 9%, and Associate roles represent 7%. This data highlights the prevalent need for skilled talent in the region's burgeoning tech sector.

Chart about preferred employment type for Engineering roles in Israel

Preferred employment type for Engineering roles in Israel

In the current landscape of the software development job market in Israel, specifically in Herzliya, the distribution of employment types reveals significant trends. Full-time positions dominate the market, comprising 98% of engineering roles, followed by contract roles at just 2%, and part-time positions representing less than 1%. These figures underscore the strong demand for full-time Artificial Intelligence Machine Learning Engineers in Israel Herzliya, indicating a focus on long-term employment in this competitive sector.

Time to Hire Distribution for Artificial Intelligence in Israel

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineer positions in Israel shows a diverse distribution, with a notable concentration of roles requiring a hiring duration of between 25 to 30 days, accounting for 193 applicants. Moreover, there is significant recruitment activity within the 10 to 20-day range, indicating a competitive landscape where speed to hire is crucial. As hiring managers assess their strategies in the Herzliya tech sector, understanding this distribution can aid in aligning recruitment timelines with market trends. Specifically, the demand for Artificial Intelligence Machine Learning Engineers reflects a preference for rapid placements, underscoring the importance of efficient recruitment processes. Managers seeking to enhance their hiring practices would benefit from leveraging these insights into the prevalent time frames in the current job market.

Expolore reports from other European Developer talent pools

Most popular cities in Israel to hire Artificial Intelligence Engineers

Top 5 cities in Israel to hire Artificial Intelligence Engineers

In the current landscape of the Artificial Intelligence Machine Learning job market in Israel Herzliya, Tel Aviv dominates with 64% of the total job openings, followed by Tel Aviv-Yafo at 23%. Herzliya itself accounts for 10% of the job opportunities in this sector, indicating a significant regional focus within this thriving tech ecosystem, as illustrated in the accompanying chart.

Most sought after technologies in Herzliya for Machine Learning

Key technologies for Machine Learning Engineers

In analyzing the Artificial Intelligence and Machine Learning job market in Israel Herzliya, key technologies emerge as critical tools for professionals in this domain. Among these, Python stands out with a notable frequency of 8,429 usages, indicating its predominant role in development. Following closely are SQL and Machine Learning, with frequencies of 3,382 and 4,786, respectively. Additionally, the use of AI, which ranks highest at 3,022, underscores the growing integration of artificial intelligence solutions. These technologies are essential for hiring managers seeking to fill roles such as Senior Artificial Intelligence Machine Learning Developers, as depicted in the accompanying data chart.

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