Skillenai

model serving jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, model serving appears in 756 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning model serving, with demand share up 6.5% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
756
Demand vs prior month
up 6.5% vs the prior 4 weeks
Top role · 14.8% of skill postings
Software Engineer
Top hiring metro
San Francisco

Which roles want model serving?

Upload your resume and Skillenai will show which roles your model serving experience fits, which skills you already cover, and what is missing.

See which roles your model serving experience fits →No account needed.

Prepare to discuss model serving in your interview

We’re building mock interviews informed by job postings and career profiles, to help you explain how you’ve used model serving.

Join the mock interview waitlist →AI or human interviews. Coming soon.

Frequently asked questions about model serving

+Is model serving in demand in 2026?

Yes. model serving appears in 756 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning model serving (14.8% of all postings mentioning model serving).

+What jobs require model serving?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning model serving are Applied Machine Learning Engineer (29.2% of that role’s postings mention model serving), Machine Learning Platform Engineer (25.0% of that role’s postings mention model serving), ML Platform Engineer (17.0% of that role’s postings mention model serving).

+What skills are commonly paired with model serving?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), model serving most often appears alongside Python, observability, Kubernetes, MLOps, monitoring.

+Where is model serving most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring model serving are San Francisco, London, New York City, San Jose, Toronto, according to the Skillenai jobs index.

+How can I keep up with new model serving content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning model serving alongside the jobs index. You can subscribe to a daily email digest of new model serving content from your Skillenai account.

+Which skills come before and after model serving?

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 serving — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around model serving

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before model serving

Before model servingNLP → model serving: 1 observed employer moves with this skill pairbatch data processing → model serving: 1 observed employer moves with this skill pairpython → model serving: 1 observed employer moves with this skill pairalerting → model serving: 1 observed employer moves with this skill pairLLM-based email generation → model serving: 1 observed employer moves with this skill pairPower BI → model serving: 1 observed employer moves with this skill pairlineage tracking → model serving: 1 observed employer moves with this skill pairautomated quality checks → model serving: 1 observed employer moves with this skill pairmodel servingNLP: 1 movesNLP1 movesbatch data processing: 1 movesbatch dataprocessing1 movespython: 1 movespython1 movesalerting: 1 movesalerting1 movesLLM-based email generation: 1 movesLLM-based emailgeneration1 movesPower BI: 1 movesPower BI1 moveslineage tracking: 1 moveslineage tracking1 movesautomated quality checks: 1 movesautomated qualitychecks1 moves

Skills after model serving

After model servingmodel serving → predictive modeling platforms: 1 observed employer moves with this skill pairmodel serving → intelligent pipelines: 1 observed employer moves with this skill pairmodel serving → retraining: 1 observed employer moves with this skill pairmodel serving → Data ingestion: 1 observed employer moves with this skill pairmodel serving → aws sagemaker: 1 observed employer moves with this skill pairmodel serving → inference: 1 observed employer moves with this skill pairmodel serving → ensemble: 1 observed employer moves with this skill pairmodel serving → deployment: 1 observed employer moves with this skill pairmodel servingpredictive modeling platforms: 1 movespredictivemodeling platforms1 movesintelligent pipelines: 1 movesintelligentpipelines1 movesretraining: 1 movesretraining1 movesData ingestion: 1 movesData ingestion1 movesaws sagemaker: 1 movesaws sagemaker1 movesinference: 1 movesinference1 movesensemble: 1 movesensemble1 movesdeployment: 1 movesdeployment1 moves
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.

Observed connections and move counts
ConnectionMoves
Before: NLP1
Before: batch data processing1
Before: python1
Before: alerting1
Before: LLM-based email generation1
Before: Power BI1
Before: lineage tracking1
Before: automated quality checks1
After: predictive modeling platforms1
After: intelligent pipelines1
After: retraining1
After: Data ingestion1
After: aws sagemaker1
After: inference1
After: ensemble1
After: deployment1

Roles most likely to require model serving

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Applied Machine Learning Engineer729.2%
Machine Learning Platform Engineer625.0%
ML Platform Engineer817.0%
Applied Research Scientist415.4%
Forward Deployed AI Engineer1212.6%
Machine Learning Infrastructure Engineer412.5%
ML Engineering Manager311.5%
Machine Learning Systems Engineer311.1%
ML Infrastructure Engineer510.4%
Applied ML Engineer29.5%

Roles with the most model serving postings

RolePostings mentioning skillShare of skill postings
Software Engineer11214.8%
Machine Learning Engineer10013.2%
AI Engineer374.9%
Data Scientist263.4%
Engineering Manager253.3%
Product Manager212.8%
ML Engineer202.6%
AI Platform Engineer152.0%
MLOps Engineer131.7%
Technical Program Manager131.7%

Top companies posting jobs requiring model serving

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring model serving
CompanyPostings · 90 days
Fireworks28
Databricks15
Stripe15
Scale AI14
Mirantis11
Adobe11
Pragmatike10
NVIDIA9
Axial Search9
Frame.io9

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 serving

NamePostingsShare
San Francisco759.9%
London456.0%
New York City263.4%
San Jose212.8%
Toronto212.8%
Seattle172.2%
San Mateo162.1%
Tel Aviv131.7%
Bengaluru111.5%

Skills commonly paired with model serving

Python (357)observability (211)Kubernetes (203)MLOps (182)monitoring (161)Distributed systems (159)AWS (153)machine learning (153)CI/CD (152)PyTorch (139)

Get a daily email digest of new model serving content

Skillenai indexes news articles, blog posts, and research papers that mention model serving. Click below and we'll open a pre-filled daily digest — change the cadence to hourly or weekly if you prefer, then save. Free account required (~30 seconds).

Get the model serving content digest →Browse all skills →

Explore related pages

How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 serving by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s model serving postings by all model serving 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: 0.4% to 0.4%. 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 2,596 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (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
0387fa4fb023984e
data_as_of
2026-09-30
window_days
90
Hiring engineers who use model serving?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

Skillenai for recruiters →
Compiled by Jared Rand · Data sourced from the Skillenai labor market index