AWS SageMaker jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, AWS SageMaker appears in 294 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning AWS SageMaker, with demand share up 1.9% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want AWS SageMaker?
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Frequently asked questions about AWS SageMaker
+Is AWS SageMaker in demand in 2026?
Yes. AWS SageMaker appears in 294 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Data Scientist accounts for the most postings mentioning AWS SageMaker (18.0% of all postings mentioning AWS SageMaker).
+What jobs require AWS SageMaker?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning AWS SageMaker are AI/ML Architect (14.3% of that role’s postings mention AWS SageMaker), MLOps Engineer (9.2% of that role’s postings mention AWS SageMaker), Applied Data Scientist (7.1% of that role’s postings mention AWS SageMaker).
+What skills are commonly paired with AWS SageMaker?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), AWS SageMaker most often appears alongside Python, PyTorch, TensorFlow, MLOps, scikit-learn.
+Where is AWS SageMaker most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring AWS SageMaker are Hyderabad, London, Paris, Bengaluru, San Francisco, according to the Skillenai jobs index.
+How can I keep up with new AWS SageMaker content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning AWS SageMaker alongside the jobs index. You can subscribe to a daily email digest of new AWS SageMaker content from your Skillenai account.
+Which skills come before and after AWS SageMaker?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring AWS SageMaker — last 90 days
Career paths around AWS SageMaker
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before AWS SageMaker
Skills after AWS SageMaker
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: python | 66 |
| Before: sql | 34 |
| Before: Power BI | 31 |
| Before: scikit-learn | 30 |
| Before: pandas | 26 |
| Before: Tableau | 25 |
| Before: spark | 23 |
| Before: tensorflow | 22 |
| After: docker | 19 |
| After: langchain | 15 |
| After: sql | 14 |
| After: AWS | 12 |
| After: python | 12 |
| After: Tableau | 12 |
| After: kubernetes | 11 |
| After: Azure | 10 |
Roles most likely to require AWS SageMaker
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI/ML Architect | 3 | 14.3% |
| MLOps Engineer | 17 | 9.2% |
| Applied Data Scientist | 2 | 7.1% |
| Marketing Analytics Director | 1 | 4.0% |
| AI/ML Engineer | 14 | 3.9% |
| AI Technical Lead | 1 | 3.7% |
| AI Engineering Manager | 3 | 3.4% |
| Applied AI Scientist | 1 | 3.0% |
| ML Ops Engineer | 1 | 2.8% |
| AI Product Owner | 1 | 2.7% |
Roles with the most AWS SageMaker postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 53 | 18.0% |
| Machine Learning Engineer | 27 | 9.2% |
| ML Engineer | 26 | 8.8% |
| AI Engineer | 22 | 7.5% |
| MLOps Engineer | 17 | 5.8% |
| AI/ML Engineer | 14 | 4.8% |
| Software Engineer | 12 | 4.1% |
| Solutions Architect | 7 | 2.4% |
| AI Architect | 6 | 2.0% |
| Data Engineer | 5 | 1.7% |
Top companies posting jobs requiring AWS SageMaker
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Talan | 8 |
| Elsevier | 5 |
| CLERA | 5 |
| Wise | 5 |
| Accenture | 5 |
| USAA | 4 |
| OnPoint | 3 |
| Blend360 | 3 |
| Fmr | 3 |
| PwC | 3 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for AWS SageMaker
| Name | Postings | Share |
|---|---|---|
| Hyderabad | 10 | 3.4% |
| London | 10 | 3.4% |
| Paris | 10 | 3.4% |
| Bengaluru | 9 | 3.1% |
| San Francisco | 9 | 3.1% |
| Pune | 8 | 2.7% |
| Boston | 6 | 2.0% |
| New York City | 6 | 2.0% |
| Atlanta | 4 | 1.4% |
Skills commonly paired with AWS SageMaker
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning AWS SageMaker by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s AWS SageMaker postings by all AWS SageMaker postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 4183a67d1ec27ca5
- data_as_of
- 2026-10-29
- window_days
- 90