Model lifecycle management jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, Model lifecycle management appears in 278 job postings indexed by Skillenai over the past 90 days — Machine Learning Engineer has the most postings mentioning Model lifecycle management, with demand share down 8.4% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-30
Which roles want Model lifecycle management?
Upload your resume and Skillenai will show which roles your Model lifecycle management experience fits, which skills you already cover, and what is missing.
Frequently asked questions about Model lifecycle management
+Is Model lifecycle management in demand in 2026?
Yes. Model lifecycle management appears in 278 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Machine Learning Engineer accounts for the most postings mentioning Model lifecycle management (8.6% of all postings mentioning Model lifecycle management).
+What jobs require Model lifecycle management?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning Model lifecycle management are Business Manager (4.5% of that role’s postings mention Model lifecycle management), Product Management Director (4.5% of that role’s postings mention Model lifecycle management), AI Manager (4.3% of that role’s postings mention Model lifecycle management).
+What skills are commonly paired with Model lifecycle management?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), Model lifecycle management most often appears alongside MLOps, Python, machine learning, observability, CI/CD.
+Where is Model lifecycle management most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring Model lifecycle management are San Francisco, New York City, London, Athens, Bengaluru, according to the Skillenai jobs index.
+How can I keep up with new Model lifecycle management content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Model lifecycle management alongside the jobs index. You can subscribe to a daily email digest of new Model lifecycle management content from your Skillenai account.
+Which skills come before and after Model lifecycle management?
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 Model lifecycle management — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around Model lifecycle management
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Model lifecycle management
Skills after Model lifecycle management
No published outgoing skill pairs yet.
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: spark | 1 |
| Before: Docker containerization | 1 |
| Before: CNN | 1 |
| Before: Hadoop | 1 |
| Before: object detection | 1 |
| Before: PySpark | 1 |
| Before: BERT | 1 |
| Before: transformer research | 1 |
Roles most likely to require Model lifecycle management
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Business Manager | 1 | 4.5% |
| Product Management Director | 1 | 4.5% |
| AI Manager | 1 | 4.3% |
| Data Science Lead | 1 | 4.3% |
| AI Lead | 1 | 3.8% |
| AI Platform Engineer | 10 | 3.8% |
| Data & AI Engineer | 1 | 3.7% |
| AI Transformation Manager | 1 | 3.2% |
| MLOps Engineer | 5 | 2.7% |
| Principal Data Scientist | 1 | 2.6% |
Roles with the most Model lifecycle management postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Machine Learning Engineer | 24 | 8.6% |
| AI Engineer | 21 | 7.6% |
| Data Scientist | 15 | 5.4% |
| Software Engineer | 15 | 5.4% |
| Product Manager | 13 | 4.7% |
| AI Platform Engineer | 10 | 3.6% |
| ML Engineer | 9 | 3.2% |
| VP Engineering | 8 | 2.9% |
| AI Architect | 7 | 2.5% |
| Applied AI Engineer | 5 | 1.8% |
Top companies posting jobs requiring Model lifecycle management
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Tide | 10 |
| Mastercard | 8 |
| CHAOS Industries | 8 |
| Netcompany | 7 |
| Barclays | 5 |
| VERSANT | 5 |
| Hopper | 5 |
| Expedia Group | 4 |
| Braze | 4 |
| Bosch | 4 |
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 Model lifecycle management
| Name | Postings | Share |
|---|---|---|
| San Francisco | 11 | 4.0% |
| New York City | 10 | 3.6% |
| London | 9 | 3.2% |
| Athens | 6 | 2.2% |
| Bengaluru | 6 | 2.2% |
| Hyderabad | 6 | 2.2% |
| Chicago | 5 | 1.8% |
| San Jose | 5 | 1.8% |
| Pune | 4 | 1.4% |
Skills commonly paired with Model lifecycle management
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 2026-10-30. 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 Model lifecycle management by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Model lifecycle management postings by all Model lifecycle management 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
- fdfbd03c96daaa8d
- data_as_of
- 2026-10-30
- window_days
- 90