Skill Demand Index
Machine Learning — Demand & Depth Analysis
Based on 28 scored job postings out of 3,786 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.7%
Demand Rate
L1
Median Depth
60.7%
Gap Rate
28
Jobs Analyzed
Minimal
Most employers want Machine Learning at introductory awareness.
Overview
What is Machine Learning?
Market context for Machine Learning in the current job market
Machine Learning is required in 0.7% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Machine Learning typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Machine Learning:
- •Required in 0.7% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L1 depth — foundational knowledge with practical application
- •Most demand comes from Data Science / ML roles — 57% of all Machine Learning jobs
- •Median salary for roles requiring Machine Learning: $151K vs $130K for roles that don't — a $18K difference
What L1 means in practice:
L1 (Minimal) means you can discuss the concept but haven’t used it in production. Many entry-level positions accept this.
This means employers aren't looking for someone who has used Machine Learning once or twice. They want evidence of professional application — shipped work, measurable outcomes, and the ability to operate independently.
Common skill gaps:
The gap rate of 60.7% means most applicants lack Machine Learning at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need Machine Learning most:
Data Science / ML positions drive 57% of demand. Software Engineering and Data Analysis also frequently list Machine Learning as a requirement. Skills commonly paired with Machine Learning include SQL and Python.
Depth Level Distribution
Proficiency Distribution
How candidates match Machine Learning requirements across 28 scored evaluations
Average depth: L1.5·Median depth: L1.0
Salary Correlation
Pay Impact
How Machine Learning affects compensation based on postings with disclosed salary data
With Machine Learning
$157K
Median $151K
10 jobs
Without Machine Learning
$139K
Median $130K
969 jobs
↑ $18K higher
for roles requiring Machine Learning
Skill Demand Insight
“Machine Learning appears in 0.7% of all scored jobs.”
From 28 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Machine Learning
Role Breakdown
Top Role Categories
Job categories most likely to require Machine Learning
Gap Analysis
Gap Rate Explained
How often Machine Learning is identified as a skill gap (L0–L1) in scored applications
High gap rate — most candidates are underqualified
When Machine Learning appears in a job's requirements, 60.7% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Machine Learning in demand in 2026?
Yes. Machine Learning appears in 0.7% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 28 analyzed jobs, demand is steady across multiple role types.
What level of Machine Learning do most jobs require?
The median required depth is L1. Many positions accept basic to intermediate proficiency.
Does knowing Machine Learning increase salary?
Jobs requiring Machine Learning pay +$18K more on average. This salary premium makes it a high-value skill to develop.
What other skills pair with Machine Learning?
The most common pairings are SQL, Python, Data Science, Data Analysis, Python/R. Strengthening these alongside Machine Learning improves your fit across more positions.
What roles need Machine Learning the most?
Top roles: Data Science / ML, Software Engineering, Data Analysis, Other. Data Science / ML positions have the highest demand at 57% of all Machine Learning jobs.
How do I improve my Machine Learning level?
L1→L2: online courses and personal projects. L2→L3: daily professional use and shipped work. L3→L4: mentoring others and optimizing processes. L4→L5: architecture decisions, open source contributions, or published work.
See how you stack up against Machine Learning job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Machine Learning gaps →See how your depth compares to what employers actually require
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