Skill Demand Index
Applied Machine Learning — Demand & Depth Analysis
Based on 1 scored job postings out of 4,699 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L1
Median Depth
100%
Gap Rate
1
Jobs Analyzed
Minimal
Most employers want Applied Machine Learning at introductory awareness.
Overview
What is Applied Machine Learning?
Market context for Applied Machine Learning in the current job market
Applied Machine Learning is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Applied Machine Learning typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Applied Machine Learning:
- •Required in 0% 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 Software Engineering roles — 100% of all Applied Machine Learning jobs
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 Applied 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 100% means most applicants lack Applied Machine Learning at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need Applied Machine Learning most:
Software Engineering positions drive 100% of demand. Skills commonly paired with Applied Machine Learning include Computer Science Degree and E-commerce Industry.
Depth Level Distribution
Proficiency Distribution
How candidates match Applied Machine Learning requirements across 1 scored evaluations
Average depth: L1.0·Median depth: L1.0
Salary Correlation
Pay Impact
How Applied Machine Learning affects compensation based on postings with disclosed salary data
Without Applied Machine Learning
$140K
Median $131K
1266 jobs
Skill Demand Insight
“Applied Machine Learning appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Applied Machine Learning
Role Breakdown
Top Role Categories
Job categories most likely to require Applied Machine Learning
Gap Analysis
Gap Rate Explained
How often Applied Machine Learning is identified as a skill gap (L0–L1) in scored applications
High gap rate — most candidates are underqualified
When Applied Machine Learning appears in a job's requirements, 100% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Applied Machine Learning in demand in 2026?
Yes. Applied Machine Learning appears in 0% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 1 analyzed jobs, demand is steady across multiple role types.
What level of Applied Machine Learning do most jobs require?
The median required depth is L1. Many positions accept basic to intermediate proficiency.
Does knowing Applied Machine Learning increase salary?
Salary data for Applied Machine Learning is still accumulating.
What other skills pair with Applied Machine Learning?
The most common pairings are Computer Science Degree, E-commerce Industry, C++/Python, Deep Learning Tools, Recommendation Algorithms and Systems. Strengthening these alongside Applied Machine Learning improves your fit across more positions.
What roles need Applied Machine Learning the most?
Top roles: Software Engineering. Software Engineering positions have the highest demand at 100% of all Applied Machine Learning jobs.
How do I improve my Applied 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 Applied Machine Learning job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Applied Machine Learning gaps →See how your depth compares to what employers actually require
All Skills · Roles · Companies · Browse Jobs