ML platform / MLOps vendor bench ledger
Read the ledger first: absolute depth and share are separate, as of 2026-11-12 PT.
| Vendor | Current Software Engineer | Share of bench |
|---|---|---|
| Databricks | 2,492 | 89.8% |
| DataRobot | 99 | 3.6% |
| Anyscale | 76 | 2.7% |
| Weights & Biases | 69 | 2.5% |
| Hugging Face | 39 | 1.4% |
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Databricks leads, but how concentrated is the bench?
The top two are 93.4%; the tail is Hugging Face at 39. Prefer the lead this week; keep the second as control.
Data & notes
| Name | Value | Share |
|---|---|---|
| Databricks | 2,492 | 89.8% |
| DataRobot | 99 | 3.6% |
| Anyscale | 76 | 2.7% |
| Weights & Biases | 69 | 2.5% |
| Hugging Face | 39 | 1.4% |
Read vendor depth and concentration
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Key takeaway · How to cite
Data & notes
| Name | Value | Share |
|---|---|---|
| Databricks+DataRobot | 2,591 | 93.4% |
| Anyscale+Weights & Biases | 145 | 5.2% |
| Hugging Face | 39 | 1.4% |
Current Software Engineer by vendor
Databricks 2,492; DataRobot 99; Anyscale 76; Weights & Biases 69; Hugging Face 39. As of 2026-11-12 PT.
Data & notes
| Name | Value |
|---|---|
| Databricks | 2,492 |
| DataRobot | 99 |
| Anyscale | 76 |
| Weights & Biases | 69 |
| Hugging Face | 39 |
| Vendor | Current Software Engineer | Share of bench |
|---|---|---|
| Databricks | 2,492 | 89.8% |
| DataRobot | 99 | 3.6% |
| Anyscale | 76 | 2.7% |
| Weights & Biases | 69 | 2.5% |
| Hugging Face | 39 | 1.4% |
Databricks: absolute depth vs share
Absolute and share leads can differ; here the lead is Databricks.
Data & notes
| Category | Current profiles | Share of bench % |
|---|---|---|
| Databricks | 2,492 | 89.8 |
| DataRobot | 99 | 3.6 |
| Anyscale | 76 | 2.7 |
| Weights & Biases | 69 | 2.5 |
| Hugging Face | 39 | 1.4 |
What it means for ML platform / MLOps Software Engineer vendor bench / how to use it
- To choose build versus buy, read the 93.4% top-two concentration, not only the 2,775 total.
- The tail, Hugging Face, has only 39 profiles and is not a primary supply.
Cut stays on measured ML platform / MLOps vendors
The cut is current Software Engineer counted on each vendor's own record; each vendor needs at least 12 profiles. The total sums included vendors, not company headcount. Vendors not listed here were not measured. As of 2026-11-12 PT.
As of 2026-11-12 PT · Source: Metix AI
Notes & method
Methodology
Each cell is current Software Engineer profiles on that vendor's own homepage record, as of 2026-11-12 PT. Only vendors at 12 or more profiles are included, and the total is their sum. The source line is Metix AI.
FAQ
- Who is counted in the ML platform / MLOps vendor bench?
- Each cell is current Software Engineer profiles on that vendor's own homepage record, as of 2026-11-12 PT. A vendor under 12 profiles stays out.
- Is the ML platform / MLOps total company headcount?
- It adds the vendor cells; it is not a headcount claim about any one company. 2,492 at Databricks is the biggest vendor cell.
- Who uses the ML platform / MLOps vendor bench?
- Use it when the choice is which vendor bench to hire from. This cut is the ML platform / MLOps vendor set.
- Where do the ML platform / MLOps figures come from?
- All cells share the as-of date 2026-11-12 PT. Metix AI is the source.
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