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Machine Learning Developer Hiring Trends in Tel Aviv-Yafo, Israel

This report was last updated on Aug 9, 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's Tel Aviv-Yafo has demonstrated significant dynamics over the past few months, with notable fluctuations in job openings that reached a peak of 7 roles in week 27 and closures peaking at 7 in week 31.
  • The current talent pool for Artificial Intelligence Machine Learning Engineers in Israel is robust, with a concentration of 22,715 job openings primarily for full-time positions, indicating a high demand for stability in employment types within the tech industry.
  • Major corporations are actively hiring in this space, with NVIDIA leading the charge with 50 roles, followed by Amazon Web Services (AWS) with 13, and Mobileye with 11, reflecting prominent recruitment trends in the Israeli tech sector.
  • Hiring for Artificial Intelligence Machine Learning Engineers is competitive, as the market indicates a challenging environment for sourcing top talent, particularly given that 85% of roles available are mid-senior level, which could pose difficulties for filling entry-level positions.
  • The median time to hire for Artificial Intelligence Engineers in Israel is currently 34 days, suggesting that hiring managers should implement effective recruitment strategies to attract and secure top candidates quickly in this competitive landscape.
Number of roles opened and closed for Machine Learning Engineers in Tel Aviv-Yafo in the last 3 months

Number of roles opened and closed for Machine Learning Engineers in Tel Aviv-Yafo in the last 3 months

In the past 12 weeks, the Artificial Intelligence Machine Learning job market in Israel's Tel Aviv-Yafo has exhibited notable fluctuations. Specifically, job openings peaked at 7 in week 27, while the lowest was merely 1 in week 22. Conversely, a concerning trend is observed in job closures, with week 31 recording the closure of 7 roles. This trend suggests a competitive landscape where hiring managers may need to enhance recruitment strategies to attract top-tier talent in a market increasingly characterized by high turnover rates. Compared to other European tech hubs, the demand for Artificial Intelligence Machine Learning Engineers remains robust, indicating a need for proactive hiring practices to leverage emerging opportunities.

Who else is hiring for ai Engineers in Israel:

Company name Country Industry Founded # Job openings
NVIDIA logo NVIDIA United States Computer Hardware 1993 50
Amazon Web Services (AWS) logo Amazon Web Services (AWS) null null null 13
Mobileye logo Mobileye Israel Automotive 1999 11
Lightricks logo Lightricks Israel Information Technology & Services 2013 10
Red Hat logo Red Hat United States Information Technology & Services 1993 7
DriveNets logo DriveNets Israel Information Technology & Services 2015 7
Mastercard logo Mastercard United States Information Technology & Services 1966 6
Check Point Software logo Check Point Software United States Computer & Network Security 1993 5
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 current landscape for Artificial Intelligence Machine Learning Engineers across Europe presents a varied hiring scenario. In Israel, particularly Tel Aviv-Yafo, the job market reflects a significant ratio of available talent to job openings, making the recruitment of these professionals challenging. For instance, with a notable number of job openings, the standout countries such as Germany, France, and the United Kingdom also face a competitive environment. Germany shows a relatively favorable jobs-to-talent ratio, indicating slightly easier hiring conditions, while France and the UK exhibit higher demand compared to their talent pool sizes. Consequently, hiring managers in Israel should strategize effectively to navigate this competitive job market, especially for Artificial Intelligence Machine Learning roles.

Seniority distribution of Machine Learning Engineer job openings in Tel Aviv-Yafo

Seniority Distribution of Machine Learning Engineering Jobs in Tel Aviv-Yafo

In Israel's Tel Aviv-Yafo region, the seniority distribution for Artificial Intelligence and Machine Learning Engineering jobs reveals a clear market focus. The Mid-Senior level positions dominate with 85% of the job openings, while Associate and Entry level roles account for 10% and 5%, respectively. This trend highlights the demand for experienced professionals in the evolving tech landscape, signaling potential challenges for hiring managers seeking to fill junior roles.

Chart about preferred employment type for Engineering roles in Israel

Preferred employment type for Engineering roles in Israel

The employment type distribution for engineering roles in Israel reveals a significant preference for full-time positions, accounting for 99% of the job market with 22,715 openings. Contract roles represent 2% of the market, totaling 344 positions, while part-time employment comprises 1% with 282 available jobs. This clear dominance of full-time roles highlights the strong demand for stability and commitment among employers in Israel's thriving tech sector.

Time to Hire Distribution for Artificial Intelligence in Israel

How long does it take to hire Artificial Intelligence Engineers

The distribution of time to hire for Artificial Intelligence jobs in Israel indicates a significant representation of the market dynamics. Notably, the majority of hires occur within a timeframe of 30 to 35 days, with 177 positions filled at 30 days and 87 at 35 days. This suggests a trend where hiring managers, including CTOs and Engineering Managers, may expect a relatively swift recruitment process for AI talents. However, as the timeline extends beyond 35 days, there is a notable decline in hiring counts, emphasizing the importance of effective recruitment strategies to secure top candidates in the competitive Artificial Intelligence Machine Learning job market in Israel's Tel Aviv-Yafo region.

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 Israel Tel Aviv-Yafo, the distribution of job openings for Artificial Intelligence Engineers is significantly concentrated, with Tel Aviv alone accounting for 54% of the total available positions in the area. Tel Aviv-Yafo follows as the second highest with 20%, showcasing its importance in the tech landscape. Other notable cities include Herzliya with 8% and Ramat Gan with 7%, highlighting the concentration of opportunities within these urban centers as illustrated in the accompanying chart.

Most sought after technologies in Tel Aviv-Yafo for Machine Learning

Key technologies for Machine Learning Engineers

The job market for Artificial Intelligence and Machine Learning Engineers in Israel, particularly in Tel Aviv-Yafo, is heavily influenced by a specific set of technologies. Notably, Python emerges as the most utilized language, with a frequency of 7,675, making it essential for candidates in this sector. Following closely are SQL and Machine Learning, with frequencies of 3,076 and 4,406 respectively, indicating a strong demand for data manipulation skills and machine learning expertise. Other significant technologies include AI, which stands at 2,709, and Data Science at 1,623, reflecting the multifaceted nature of roles within this field. The accompanying chart provides a detailed breakdown of these technology usages, helping hiring managers identify key competencies for prospective candidates.

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