# Companies using MLFlow

22,057 companies use MLFlow, based on their job posts and their employees' public profiles. Its share of job posts held steady in the three months to August 2026; 23,387 job posts named it from October 2025 to August 2026. AI Engineer roles mention it most.

Data as of November 9, 2026. Source: Sumble.

## Which companies name MLFlow in the most job posts?

Databricks, EPAM Systems and Deloitte are among the companies with the most job posts naming MLFlow. Four of these five companies are in Professional Services.

| Company | Job posts | People | Recent job post |
|---|---:|---:|---|
| [Databricks](https://sumble.com/orgs/databricks) | 1,097 | 221 | "Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community." (Sr. Solutions Architect - AI Natives Business, Nov 7, 2026) |
| [EPAM Systems](https://sumble.com/orgs/epam-systems) | 592 | 127 | "Create scalable AI workflows using Databricks, MLflow, Azure AI Foundry and cloud-native services" (Principal AI & Data Engineer, Oct 27, 2026) |
| [Deloitte](https://sumble.com/orgs/deloitte) | 502 | 172 | "Experience with Delta Lake, Unity Catalog, or MLflow" (Cloud Data Engineer, Nov 8, 2026) |
| [EY](https://sumble.com/orgs/ey) | 403 | 157 | "Utilize MLflow for experiment tracking and model lifecycle management." (EY - GDS Consulting - AI And DATA - Data Engineer - Senior, Nov 3, 2026) |
| [Tata Consultancy Services](https://sumble.com/orgs/tata-consultancy-services-tcs) | 383 | 154 | "Help maintain experiment tracking and model/version metadata using MLOps tools (e.g., MLflow)." (gen ai developer, Oct 28, 2026) |

## Is hiring for MLFlow growing?

Demand for MLFlow is steady: 12 in every 10,000 job posts from June to August 2026, close to the 12 of March to May.

| Month | Job posts naming it | All job posts | Per 10,000 job posts |
|---|---:|---:|---:|
| Oct 2025 | 1,599 | 1,413,673 | 11 |
| Nov 2025 | 2,375 | 1,822,119 | 13 |
| Dec 2025 | 1,486 | 1,236,103 | 12 |
| Jan 2026 | 2,205 | 1,828,002 | 12 |
| Feb 2026 | 2,196 | 1,856,647 | 12 |
| Mar 2026 | 2,243 | 1,850,711 | 12 |
| Apr 2026 | 2,143 | 1,728,886 | 12 |
| May 2026 | 2,214 | 1,821,509 | 12 |
| Jun 2026 | 2,294 | 1,909,496 | 12 |
| Jul 2026 | 2,295 | 1,815,180 | 13 |
| Aug 2026 | 2,337 | 1,835,698 | 13 |

## How many companies named MLFlow in a job post for the first time in recent months?

MLFlow showed up in job posts at 981 companies for the first time from June to August 2026, and 1,028 in the three months before. Over the 11 months from October 2025, 3,808 companies posted their first job naming it.

| Period | Companies naming it in a job post for the first time |
|---|---:|
| March to May 2026 | 1,028 |
| June to August 2026 | 981 |
| October 2025 to August 2026 | 3,808 |

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 MLFlow?

Employees' profiles add 9,753 companies to the 12,304 that name MLFlow in job posts. 3,424 show up in both job posts and employees' profiles.

| How we know | Companies | Share |
|---|---:|---:|
| Job posts name MLFlow | 12,304 | 56% |
| Employees' profiles list MLFlow | 9,753 | 44% |

## What size are the companies that use MLFlow?

MLFlow skews toward smaller firms. 29% of its users are companies with fewer than 50 employees, against 22% on the typical tech page. 2,516 of its companies have more than 5,000 employees.

| Size | Share | Typical tech page |
|---|---:|---:|
| Under 50 employees | 29% | 22% |
| 50 to 999 | 44% | 38% |
| 1,000 to 5,000 | 16% | 17% |
| Over 5,000 | 11% | 23% |

## Where are MLFlow companies based?

36% of MLFlow companies are based in the United States, and 8.8% in India. Its companies are based in 137 countries and territories.

| Country | Companies | Share | Typical tech page |
|---|---:|---:|---:|
| United States | 7,557 | 36% | 43% |
| India | 1,840 | 8.8% | 6.9% |
| United Kingdom | 1,209 | 5.8% | 6.4% |
| Germany | 1,199 | 5.7% | 4.4% |
| France | 1,110 | 5.3% | 4.6% |
| Brazil | 785 | 3.7% | 2.8% |

## Which teams work with MLFlow?

Job posts most often place MLFlow with data science, AI and data teams. Next are data engineering and engineering teams, at 144 and 101 companies.

| Team | Companies |
|---|---:|
| Data science | 417 |
| AI | 259 |
| Data | 151 |
| Data engineering | 144 |
| Engineering | 101 |
| MLOps | 98 |

## Which roles mention MLFlow most?

AI Engineer is the most common role, in 25% of job posts naming MLFlow. AI Engineer posts naming it numbered 1,554 from March to May 2026 and 1,731 from June to August.

| Role | Share | Oct 2025 to Aug 2026 | Mar to May 2026 | Jun to Aug 2026 |
|---|---:|---:|---:|---:|
| AI Engineer | 25% | 5,824 | 1,554 | 1,731 |
| Machine Learning | 13% | 3,138 | 804 | 795 |
| Data Scientist | 12% | 2,900 | 822 | 776 |
| MLOps Engineer | 6.4% | 1,496 | 403 | 315 |
| Data Engineer | 5.9% | 1,379 | 384 | 357 |
| Software Engineer | 5% | 1,167 | 272 | 333 |

## Which companies started naming MLFlow in job posts recently?

From April to August 2026, 1,132 companies with 50 or more employees posted their first job naming MLFlow: 676 commercial, 277 mid-market and 179 enterprise. Crisalix has the most job posts of the new commercial companies, 12 from April to August.

| Group | Company | Job posts, April to August 2026 |
|---|---|---:|
| AI native | [DeepHow](https://sumble.com/orgs/deephow) | 8 |
| AI native | [Giotto.ai](https://sumble.com/orgs/l2f-business-topological-modeling) | 5 |
| AI native | [Triomics](https://sumble.com/orgs/triomics) | 3 |
| AI native | [10a Labs](https://sumble.com/orgs/10a-labs) | 3 |
| AI native | [VODA.ai®](https://sumble.com/orgs/voda-ai) | 3 |
| Commercial | [Crisalix](https://sumble.com/orgs/crisalix) | 12 |
| Commercial | [TVS Next](https://sumble.com/orgs/tvs-next) | 11 |
| Commercial | [Zemoso Technologies](https://sumble.com/orgs/zemoso-technologies) | 9 |
| Commercial | [Integrant, Inc.](https://sumble.com/orgs/integrant) | 8 |
| Commercial | [Cutsforth](https://sumble.com/orgs/cutsforth) | 8 |
| Mid-market | [Cactus Communications](https://sumble.com/orgs/cactus-communications-services) | 10 |
| Mid-market | [Claro Colombia](https://sumble.com/orgs/clarocolombia) | 7 |
| Mid-market | [Home Credit Philippines](https://sumble.com/orgs/hc-consumer-finance-philippines) | 7 |
| Mid-market | [Flatpay](https://sumble.com/orgs/flatpayaps) | 7 |
| Mid-market | [East West Bank](https://sumble.com/orgs/east-west-bank) | 6 |
| Enterprise | [ERGO](https://sumble.com/orgs/ergo-group) | 9 |
| Enterprise | [Swiggy](https://sumble.com/orgs/swiggy) | 8 |
| Enterprise | [DLA Piper](https://sumble.com/orgs/dla-piper) | 6 |
| Enterprise | [Total Quality Logistics](https://sumble.com/orgs/total-quality-logistics-tql) | 6 |
| Enterprise | [MANTECH](https://sumble.com/orgs/mantech-international) | 6 |

Companies that named MLFlow 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 MLFlow companies use?

MLFlow companies are 27 times as likely as similar companies to use Weights & Biases: 13% of them, against 0.49%. DVC comes second, 27 times as common as usual, at 12%.

| Tool | Companies | Also name it | Typical | Times as common |
|---|---:|---:|---:|---:|
| Weights & Biases | 1,265 | 13% | 0.49% | 27 times |
| DVC | 1,123 | 12% | 0.44% | 27 times |
| Kubeflow | 3,388 | 35% | 1.6% | 22 times |
| Ray | 816 | 8.5% | 0.56% | 15 times |
| FAISS | 1,246 | 13% | 0.88% | 15 times |
| Weaviate | 1,485 | 15% | 1.1% | 14 times |
| NVIDIA Triton | 697 | 7.3% | 0.56% | 13 times |
| ONNX | 702 | 7.3% | 0.56% | 13 times |

Shares are out of the 9,583 companies whose job posts name MLFlow, not counting firms whose job posts name almost every technology.

## Which project themes come up in MLFlow job posts?

Teams most often pair MLFlow with Generative AI (8,620 job posts), then broad digital transformation, then Cloud Cost Optimization and Data Infrastructure Migration.

| Project theme | Job posts |
|---|---:|
| Generative AI | 8,620 |
| Digital Transformation | 7,134 |
| Cloud Cost Optimization | 3,364 |
| Data Infrastructure Migration | 2,029 |

## 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.