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Companies using Azure ML

30,463 companies use Azure ML, based on their job posts and their employees' public profiles. Hiring for it is steady, with 12,046 job posts naming it from October 2025 to August 2026. Data science teams are its most common home.

Data as of November 9, 2026 · Markdown version

Which companies name Azure ML in the most job posts?

Microsoft leads with 1,370 job posts naming Azure ML, followed by EY and EPAM Systems. Four of these five companies are in Professional Services.
Company Posts People Recent job post
Microsoft Scientific and Technical Services · first seen Jul 2022 1,370 2,127 "Integrate Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Copilot, and Azure Machine Learning to deliver personalized, scalable learning and knowledge experiences."Platform Architect -Integrated Learning, Nov 7, 2026
EY Professional Services · first seen Aug 2022 601 550 "Experience with AI and Machine Learning tools such as Azure ML etc."Solution Architect, Nov 4, 2026
EPAM Systems Professional Services · first seen Aug 2022 464 162 "Assist with deploying AI-driven solutions using Azure AI, Azure OpenAI, Azure AI Search, Azure Machine Learning, and related Azure AI services"Lead Azure Cloud Engineer, Oct 21, 2026
Accenture in India Professional Services · first seen Dec 2023 460 106 "Develop and validate AI/ML models in Azure ML and integrate model outputs into commerce decisioning and agentic workflows."I&P - GN - SONG - AI & Data - Commerce - Decision Science - Manager, Nov 4, 2026
Deloitte Professional Services · first seen Jul 2022 414 573 "…Azure AI and platform services (e.g., Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, Azure AI Search, Cognitive Services) and their application in solution design." Azure Solution Architect, Senior Manager, AI and Cloud Engineering, Oct 23, 2026
Showing 1 to 5 of 7,765 companies with job posts Sign up to see all companies using Azure ML ›

What else do we know about Azure ML?

Is hiring for Azure ML growing?

Hiring for Azure ML barely changed, at 5.7 in every 10,000 job posts from June to August 2026 against 6.2 from March to May. Its busiest month was November 2025, at 7.6.
Share of job posts naming Azure ML by month, October 2025 to August 2026, in job posts in every 10,000 Moves from 6.1 in October 2025 to 5.8 in August 2026, in job posts in every 10,000. 8.7 6.6 4.4 2.2 0 5.8 Oct '25 Nov Dec Jan '26 Feb Mar Apr May Jun Jul Aug
Show the data
MonthJob posts naming Azure MLAll job postsPer 10,000
Oct 20258631,413,6736.1
Nov 20251,3841,822,1197.6
Dec 20258121,236,1036.6
Jan 20261,2741,828,0027.0
Feb 20261,2401,856,6476.7
Mar 20261,1451,850,7116.2
Apr 20261,0881,728,8866.3
May 20261,0971,821,5096.0
Jun 20269951,909,4965.2
Jul 20261,0841,815,1806.0
Aug 20261,0641,835,6985.8

How many companies named Azure ML in a job post for the first time in recent months?

In the three months to August 2026, 426 companies posted about Azure ML for the first time. From March to May, 476 did. The 426 from June to August are 5.5% of all 7,765 companies whose job posts name it.
March to May 2026 476
June to August 2026 426
October 2025 to August 2026 1,872

Companies whose first job post naming it appeared in that period. Recruiters, staffing firms and job boards are left out.

How do we know which companies use Azure ML?

7,765 companies name Azure ML in job posts they wrote; employees' profiles add 22,698 more. 3,050 show up in both job posts and employees' profiles.
How we know Companies Share
Job posts name Azure ML
7,765 25%
Employees' profiles list Azure ML
22,698 75%

30,463 companies. Each is counted once, under the strongest evidence we have for it.

What size are the companies that use Azure ML?

Companies with 50 to 999 employees are the largest group of Azure ML users, at 45%. 7,580 of its companies have fewer than 50 employees.

Share of its companies Typical tech page

ShareTypical
Under 50 employees
25% 22%
50 to 999
45% 38%
1,000 to 5,000
19% 17%
Over 5,000
11% 23%

Where are Azure ML companies based?

Azure ML has an unusually large following in Brazil: 5.6% of its companies, against 2.8% on the typical tech page. Its companies are based in 155 countries and territories.
ShareTypical
United States
33% 43%
India
8% 6.9%
United Kingdom
6.6% 6.4%
Brazil
5.6% 2.8%
Germany
4.4% 4.4%
Canada
4.2% 3.6%

Companies in 155 countries and territories. Shares are of companies with a known headquarters country.

Show the data
CountryCompaniesShareTypical tech page
United States9,67533%43%
India2,3218%6.9%
United Kingdom1,9286.6%6.4%
Brazil1,6465.6%2.8%
Germany1,2874.4%4.4%
Canada1,2294.2%3.6%

Which teams work with Azure ML?

Job posts most often place Azure ML with data science, AI and data & analytics teams. Next are IT and data engineering teams, at 75 and 65 companies.
Team Companies
Data science
161
AI
106
Data & analytics
80
IT
75
Data engineering
65
Data
53

What else do Azure ML companies use?

Azure ML companies are 11 times as likely as similar companies to use FAISS: 11% of them, against 0.99%. GCP Vertex AI comes second, 11 times as common as usual, at 31%.

Share of the 5,546 Azure ML companies counted here whose job posts also name the tool Typical for companies the same size

Tool Also name it Typical Times as common
FAISS 618 companies
11% 0.99% 11x
GCP Vertex AI 1,696 companies
31% 2.7% 11x
AWS Sagemaker 2,304 companies
42% 3.7% 11x
DVC 301 companies
5.4% 0.49% 11x
Tool Also name it Typical Times as common
Semantic Kernel 582 companies
10% 0.97% 11x
Azure AI Foundry 900 companies
16% 1.5% 11x
Azure OpenAI 1,688 companies
30% 2.9% 10x
ChromaDB 427 companies
7.7% 0.75% 10x

Which companies started naming Azure ML in job posts recently?

539 companies with 50 or more employees picked up Azure ML in their job posts from April to August 2026. Another 8 were AI-native companies, which we list separately.
AI native any size · 8 new
Company Posts
Norbert Health 2
Deepgram 1
Haut.AI 1
Helfie.AI 1
Snap2Insight 1
Commercial 50 to 999 employees · 312 new
Company Posts
Integral Federal, Inc. 13
Bell Techlogix, Inc. 8
TVS Next 7
Pharmacy2U | Certified B Corp 6
Steampunk, Inc. 5
Mid-market 1,000 to 5,000 employees · 138 new
Company Posts
Cactus Communications 6
Navitus Health Solutions 6
Claro Colombia 5
Credit One Bank 5
East West Bank 4
Enterprise over 5,000 employees · 89 new
Company Posts
Belfius 8
McCormick & Company 8
Total Quality Logistics 6
R+V Versicherung 6
Equinor 5

Companies that named Azure ML in a job post for the first time between April and August 2026, ranked by their job posts in those months. AI-native companies get a group of their own, whatever their size. Recruiters and job boards are left out.

Which roles mention Azure ML most?

AI Engineer is the most common role, in 28% of job posts naming Azure ML. AI Engineer posts naming it numbered 873 from March to May 2026 and 888 from June to August.
Role Share Posts
AI Engineer
28% 3,413
Data Scientist
12% 1,486
Machine Learning
7.3% 881
Software Engineer
5.7% 685
Solutions Architect
4.7% 568
Data Engineer
4.7% 564
Show the data
RoleShareOct 2025 to Aug 2026Mar to May 2026Jun to Aug 2026
AI Engineer28%3,413873888
Data Scientist12%1,486395387
Machine Learning7.3%881241201
Software Engineer5.7%685143163
Solutions Architect4.7%568159140
Data Engineer4.7%564143117

Which project themes come up in Azure ML job posts?

4,204 job posts naming Azure ML describe Generative AI work, the most common theme after broad digital transformation. After that comes Cloud Cost Optimization, with 1,610.
Project theme Job posts
Digital Transformation 4,996
Generative AI 4,204
Cloud Cost Optimization 1,610
Data Infrastructure Migration 1,550
About this data

Sumble built this page. Sumble gives sales, marketing and other GTM teams technographics and hiring signals for the companies they sell to: the technologies each company uses, which teams are hiring and for what, and who reports to whom. That helps a team know who to contact, why now, and what to say.

Sumble covers more than 3.6 million companies, 93 million job posts collected since 2022 and 194 million employee profiles, and tracks more than 37,000 technologies. It finds which technologies a company uses by reading its job posts and its employees' public profiles.

Sumble has a free plan, and the same data is available through its API and MCP server.

A company counts when its own job posts or its employees' public profiles name the technology. Hiring is that technology's share of all job posts collected each month. Quotes are copied word for word from the companies' job posts.

Every figure on this page comes from Sumble's own analysis, and you won't find it outside Sumble.