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Skill Demand Index

Azure Machine Learning — Demand & Depth Analysis

Based on 1 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0%

Demand Rate

L3

Median Depth

0%

Gap Rate

1

Jobs Analyzed

L3100% of postings

Proficient

Most employers want Azure Machine Learning at hands-on daily use, not textbook knowledge.

Overview

What is Azure Machine Learning?

Market context for Azure Machine Learning in the current job market

Azure 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 Azure Machine Learning typically want candidates who can demonstrate real proficiency, not just surface awareness.

What the data shows for Azure Machine Learning:

  • •Required in 0% of all scored postings — demand is growing as more employers add it to requirements
  • •Employers typically expect L3 depth — hands-on proficiency, not surface awareness
  • •Most demand comes from Data Science / ML roles — 100% of all Azure Machine Learning jobs

What L3 means in practice:

L3 (Proficient) means daily professional use. You should be able to work independently with Azure Machine Learning without needing supervision or constant guidance.

This means employers aren't looking for someone who has used Azure 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 0% means most candidates have adequate Azure Machine Learning proficiency. To stand out, aim for L4-L5 depth with concrete evidence.

Which roles need Azure Machine Learning most:

Data Science / ML positions drive 100% of demand. Skills commonly paired with Azure Machine Learning include Machine Learning and Data Science Experience.

Depth Level Distribution

Proficiency Distribution

How candidates match Azure Machine Learning requirements across 1 scored evaluations

L0 — Missing
0% (0)
L1 — Minimal
0% (0)
L2 — Basic
0% (0)
L3 — Proficient
100% (1)
DOMINANT
L4 — Advanced
0% (0)
L5 — Expert
0% (0)

Average depth: L3.0·Median depth: L3.0

Salary Correlation

Pay Impact

How Azure Machine Learning affects compensation based on postings with disclosed salary data

Without Azure Machine Learning

$140K

Median $133K

1236 jobs

Skill Demand Insight

“Azure 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 Azure Machine Learning

Role Breakdown

Top Role Categories

Job categories most likely to require Azure Machine Learning

Gap Analysis

Gap Rate Explained

How often Azure Machine Learning is identified as a skill gap (L0–L1) in scored applications

0%

Very low gap rate — candidates generally have this skill

When Azure Machine Learning appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).

A high gap rate signals strong hiring leverage for candidates who have it. A low gap rate means the skill is table stakes: not having it is a disqualifier.

Frequently Asked Questions

Is Azure Machine Learning in demand in 2026?

Yes. Azure 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 Azure Machine Learning do most jobs require?

The median required depth is L3. Most roles expect intermediate competency — independent work without supervision.

Does knowing Azure Machine Learning increase salary?

Salary data for Azure Machine Learning is still accumulating.

What other skills pair with Azure Machine Learning?

The most common pairings are Machine Learning, Data Science Experience, Python, Microsoft Fabric, Retail/Financial Experience. Strengthening these alongside Azure Machine Learning improves your fit across more positions.

What roles need Azure Machine Learning the most?

Top roles: Data Science / ML. Data Science / ML positions have the highest demand at 100% of all Azure Machine Learning jobs.

How do I improve my Azure 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 Azure Machine Learning job requirements

ShouldApply scores your profile against each skill at the depth level jobs actually need.

Analyze my Azure Machine Learning gaps →

See how your depth compares to what employers actually require

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