# 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. Source: Sumble.

## 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 | Job posts | People | Recent job post |
|---|---:|---:|---|
| [Microsoft](https://sumble.com/orgs/microsoft) | 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](https://sumble.com/orgs/ey) | 601 | 550 | "Experience with AI and Machine Learning tools such as Azure ML etc." (Solution Architect, Nov 4, 2026) |
| [EPAM Systems](https://sumble.com/orgs/epam-systems) | 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](https://sumble.com/orgs/accentureindia) | 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](https://sumble.com/orgs/deloitte) | 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) |

## 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.

| Month | Job posts naming it | All job posts | Per 10,000 job posts |
|---|---:|---:|---:|
| Oct 2025 | 863 | 1,413,673 | 6.1 |
| Nov 2025 | 1,384 | 1,822,119 | 7.6 |
| Dec 2025 | 812 | 1,236,103 | 6.6 |
| Jan 2026 | 1,274 | 1,828,002 | 7.0 |
| Feb 2026 | 1,240 | 1,856,647 | 6.7 |
| Mar 2026 | 1,145 | 1,850,711 | 6.2 |
| Apr 2026 | 1,088 | 1,728,886 | 6.3 |
| May 2026 | 1,097 | 1,821,509 | 6.0 |
| Jun 2026 | 995 | 1,909,496 | 5.2 |
| Jul 2026 | 1,084 | 1,815,180 | 6.0 |
| Aug 2026 | 1,064 | 1,835,698 | 5.8 |

## 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.

| Period | Companies naming it in a job post for the first time |
|---|---:|
| 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% |

## 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.

| Size | Share | Typical tech page |
|---|---:|---:|
| 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.

| Country | Companies | Share | Typical tech page |
|---|---:|---:|---:|
| United States | 9,675 | 33% | 43% |
| India | 2,321 | 8% | 6.9% |
| United Kingdom | 1,928 | 6.6% | 6.4% |
| Brazil | 1,646 | 5.6% | 2.8% |
| Germany | 1,287 | 4.4% | 4.4% |
| Canada | 1,229 | 4.2% | 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 |

## 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 | Oct 2025 to Aug 2026 | Mar to May 2026 | Jun to Aug 2026 |
|---|---:|---:|---:|---:|
| AI Engineer | 28% | 3,413 | 873 | 888 |
| Data Scientist | 12% | 1,486 | 395 | 387 |
| Machine Learning | 7.3% | 881 | 241 | 201 |
| Software Engineer | 5.7% | 685 | 143 | 163 |
| Solutions Architect | 4.7% | 568 | 159 | 140 |
| Data Engineer | 4.7% | 564 | 143 | 117 |

## 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.

| Group | Company | Job posts, April to August 2026 |
|---|---|---:|
| AI native | [Norbert Health](https://sumble.com/orgs/norbert-health) | 2 |
| AI native | [Deepgram](https://sumble.com/orgs/deepgram) | 1 |
| AI native | [Haut.AI](https://sumble.com/orgs/hautai) | 1 |
| AI native | [Helfie.AI](https://sumble.com/orgs/helfieai) | 1 |
| AI native | [Snap2Insight](https://sumble.com/orgs/snap2insight) | 1 |
| Commercial | [Integral Federal, Inc.](https://sumble.com/orgs/integral-federal) | 13 |
| Commercial | [Bell Techlogix, Inc.](https://sumble.com/orgs/bell-techlogix) | 8 |
| Commercial | [TVS Next](https://sumble.com/orgs/tvs-next) | 7 |
| Commercial | [Pharmacy2U \| Certified B Corp](https://sumble.com/orgs/pharmacy2u) | 6 |
| Commercial | [Steampunk, Inc.](https://sumble.com/orgs/steampunk-1) | 5 |
| Mid-market | [Cactus Communications](https://sumble.com/orgs/cactus-communications-services) | 6 |
| Mid-market | [Navitus Health Solutions](https://sumble.com/orgs/navitus-health-solutions-lumicera-health-services) | 6 |
| Mid-market | [Claro Colombia](https://sumble.com/orgs/clarocolombia) | 5 |
| Mid-market | [Credit One Bank](https://sumble.com/orgs/credit-one-bank) | 5 |
| Mid-market | [East West Bank](https://sumble.com/orgs/east-west-bank) | 4 |
| Enterprise | [Belfius](https://sumble.com/orgs/belfius) | 8 |
| Enterprise | [McCormick & Company](https://sumble.com/orgs/mccormick-&-company) | 8 |
| Enterprise | [Total Quality Logistics](https://sumble.com/orgs/total-quality-logistics-tql) | 6 |
| Enterprise | [R+V Versicherung](https://sumble.com/orgs/r+v-versicherung) | 6 |
| Enterprise | [Equinor](https://sumble.com/orgs/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.

## 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%.

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

Shares are out of the 5,546 companies whose job posts name Azure ML, not counting firms whose job posts name almost every technology.

## 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.