DATA FROM ROLIVA JOB LISTINGS
Most-mentioned skills in Machine learning engineer job listings — October 2026
Based on 65 current machine learning engineer listings from 16 employers, counted on 4 October 2026.
At a glance
Python is the most-mentioned skill: 75% of these listings (49 of 65) mention it.
Most-mentioned skills
| Rank | Skill | Listings | Share |
|---|---|---|---|
| 1 | Python | 49 of 65 | 75% |
| 2 | Machine learning | 44 of 65 | 68% |
| 3 | PyTorch | 35 of 65 | 54% |
| 4 | AWS | 34 of 65 | 52% |
| 5 | Azure | 33 of 65 | 51% |
| 6 | LLM | 33 of 65 | 51% |
| 7 | Java | 25 of 65 | 38% |
| 8 | Scala | 18 of 65 | 28% |
| 9 | TensorFlow | 16 of 65 | 25% |
| 10 | GCP | 15 of 65 | 23% |
| 11 | Spark | 12 of 65 | 18% |
| 12 | Kubernetes | 11 of 65 | 17% |
| 13 | SQL | 11 of 65 | 17% |
| 14 | Docker | 8 of 65 | 12% |
| 15 | Airflow | 6 of 65 | 9% |
| 16 | Agile | 5 of 65 | 8% |
| 17 | BigQuery | 4 of 65 | 6% |
| 18 | Snowflake | 4 of 65 | 6% |
| 19 | A/B testing | 3 of 65 | 5% |
| 20 | Kafka | 2 of 65 | 3% |
| 21 | React | 2 of 65 | 3% |
| 22 | Excel | 1 of 65 | 2% |
| 23 | GraphQL | 1 of 65 | 2% |
| 24 | Kotlin | 1 of 65 | 2% |
| 25 | PostgreSQL | 1 of 65 | 2% |
Top 25 of the 28 tracked terms that appear in at least one listing. 22 tracked terms appear in none of these listings. No earlier month is stored yet, so there is no change column.
Where these listings are
| Country | Listings | Share |
|---|---|---|
| United States | 42 | 65% |
| Brazil | 12 | 18% |
| Spain | 2 | 3% |
| United Kingdom | 2 | 3% |
| India | 2 | 3% |
| Canada | 1 | 2% |
| Colombia | 1 | 2% |
| Hong Kong SAR China | 1 | 2% |
| Mexico | 1 | 2% |
1 listing state no country in structured data. 24 listings are remote as stated by the employer.
Method
Source: job listings on ROLIVA, which are read from employers’ own careers pages. Only listings confirmed open in the 30 days before the count are included. A listing belongs to this role when its job title matches the same fixed title patterns used for the machine learning engineer jobs page.
How skills were detected: each listing’s description (up to the first 20,000 characters) and any skills the employer lists in structured posting data are matched against a fixed list of 50 skill and tool terms, on whole words. Excel, React, Swift, Spark, Agile are also ordinary English words, so they are counted only in their capitalised product form. A listing counts once per term, however often it repeats it. A mention is not necessarily a requirement, and skills outside the list are not counted.
Timing: the count is repeated daily and this page shows the latest one; the figure kept for each month is the last count taken in that month. Month-to-month changes compare the share of listings, not raw counts, because the number of listings changes.
Limits: these are ROLIVA’s listings only — the employers whose careers pages ROLIVA reads, weighted towards the countries shown above — not the whole job market.
Terms tracked: SQL, Python, Excel, Tableau, Power BI, Looker, dbt, Snowflake, BigQuery, Jira, Confluence, Figma, Salesforce, HubSpot, Zendesk, AWS, GCP, Azure, Kubernetes, Docker, Terraform, React, TypeScript, JavaScript, Node.js, Java, Kotlin, Swift, C++, Rust, Scala, Spark, Airflow, Kafka, GraphQL, PostgreSQL, Machine learning, A/B testing, Agile, Scrum, Stakeholder management, User research, Process mapping, BPMN, UML, Roadmapping, PyTorch, TensorFlow, LLM, Go-to-market.
How to cite
ROLIVA, “Most-mentioned skills in Machine learning engineer job listings — October 2026”, https://rolivajobs.com/insights/skills/machine-learning-engineer (data as of 4 October 2026).
The URL above always shows the latest month; the month and as-of date identify the figures you quote.