AI & Machine Learning Job Market 2026
In our most recent data, US employers posted 206,764 jobs requiring AI/ML skills (Machine Learning, Deep Learning, NLP, LLM, Generative AI, PyTorch, TensorFlow), up 72% year-over-year. Apple leads AI hiring with 7,814 postings in the last 3 months. Based on Canaria's analysis of 900M+ deduplicated job postings.
Monthly AI/ML Job Postings
US postings mentioning Machine Learning, Deep Learning, NLP, LLM, Generative AI, PyTorch, or TensorFlow
| Month | Postings |
|---|---|
| Jan 22 | 32,923 |
| Feb 22 | 35,263 |
| Mar 22 | 41,229 |
| Apr 22 | 92,888 |
| May 22 | 90,980 |
| Jun 22 | 94,818 |
| Jul 22 | 74,237 |
| Aug 22 | 68,583 |
| Sep 22 | 67,100 |
| Oct 22 | 61,360 |
| Nov 22 | 53,528 |
| Dec 22 | 39,250 |
| Jan 23 | 47,678 |
| Feb 23 | 86,287 |
| Mar 23 | 51,774 |
| Apr 23 | 52,318 |
| May 23 | 54,764 |
| Jun 23 | 62,907 |
| Jul 23 | 39,662 |
| Aug 23 | 38,657 |
| Sep 23 | 37,975 |
| Oct 23 | 62,583 |
| Nov 23 | 65,051 |
| Dec 23 | 37,331 |
| Jan 24 | 45,595 |
| Feb 24 | 54,872 |
| Mar 24 | 49,302 |
| Apr 24 | 44,031 |
| May 24 | 62,877 |
| Jun 24 | 73,689 |
| Jul 24 | 70,706 |
| Aug 24 | 45,157 |
| Sep 24 | 50,148 |
| Oct 24 | 95,663 |
| Nov 24 | 97,733 |
| Dec 24 | 126,809 |
| Jan 25 | 128,011 |
| Feb 25 | 120,190 |
| Mar 25 | 156,461 |
| Apr 25 | 125,585 |
| May 25 | 119,152 |
| Jun 25 | 97,866 |
| Jul 25 | 124,313 |
| Aug 25 | 373,165 |
| Sep 25 | 345,062 |
| Oct 25 | 339,666 |
| Nov 25 | 267,124 |
| Dec 25 | 247,521 |
| Jan 26 | 233,911 |
| Feb 26 | 206,764 |
Top 15 Companies Hiring for AI/ML
By posting count in the last 3 months
| Rank | Company | AI/ML Postings (3 months) |
|---|---|---|
| 1 | Apple | 7,814 |
| 2 | TransPerfect | 7,611 |
| 3 | Capital One | 7,583 |
| 4 | Meta | 6,524 |
| 5 | 4,566 | |
| 6 | PwC | 3,577 |
| 7 | NVIDIA | 3,342 |
| 8 | Deloitte | 3,216 |
| 9 | Anduril | 3,131 |
| 10 | Accenture | 1,943 |
| 11 | Booz Allen Hamilton | 1,663 |
| 12 | EY | 1,594 |
| 13 | Amazon | 1,495 |
| 14 | Microsoft | 1,487 |
| 15 | Zoox | 1,376 |
The AI and machine learning job market has experienced remarkable growth since 2024. Monthly posting volumes have surged as companies across all industries rush to build AI capabilities, driven by the generative AI boom and increasing enterprise adoption of large language models.
Apple, Meta, Google, and NVIDIA lead AI hiring, but the competitive landscape is broader than Big Tech. Capital One, PwC, Deloitte, and Booz Allen Hamilton represent the growing demand for AI talent in financial services, consulting, and defense. TransPerfect's strong showing reflects the intersection of NLP and the localization industry.
Canaria identifies AI/ML postings by detecting specific skills in job descriptions using NLP, rather than relying on job titles alone. This captures the many roles where AI skills are required but not reflected in the title, such as "Data Scientist", "Research Engineer", or "Applied Scientist" positions that involve deep learning or LLM development.
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Frequently Asked Questions
- How many AI and ML jobs are being posted in 2026?
- In February 2026, there were 206,764 job postings in the US mentioning AI/ML skills including Machine Learning, Deep Learning, NLP, LLM, Generative AI, PyTorch, or TensorFlow. This reflects continued strong demand for AI talent.
- Which companies are hiring the most AI engineers?
- Apple leads AI/ML hiring with 7,814 relevant postings in the last 3 months. Other top employers include TransPerfect, Capital One, Meta.
- Is AI hiring growing or declining?
- AI hiring has seen significant growth over the past two years. The monthly volume has increased substantially from early 2024 levels, up 72% year-over-year for the most recent comparable period.
- What AI skills are employers looking for?
- The most commonly requested AI skills are Machine Learning, PyTorch, TensorFlow, Deep Learning, and increasingly LLM and Generative AI. NLP and Computer Vision remain important for specialized roles. Canaria tracks these across a 37,000+ skills taxonomy.
Data sourced from publicly available job postings. Updated May 2026. Analysis by Canaria Inc.