What is Anomaly Detection and how common is it in AI job postings?

Anomaly Detection is a skill in the "Applied ML Domains" category. It currently appears in 172 active AI roles across 56 companies in our index.

Which companies are hiring for Anomaly Detection?

The top employers with active AI roles mentioning Anomaly Detection are: Amazon (46), Apple (12), Walmart (7), Adobe (7), Oracle (5).

Is demand for Anomaly Detection growing?

Over the last 12 weeks, 128 new AI postings mentioned Anomaly Detection. Demand is rising — up 216% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Anomaly Detection used?

Roles requiring Anomaly Detection are concentrated in: agents (67%), application (14%), serving infrastructure (9%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with Anomaly Detection?

Job postings that mention Anomaly Detection most often also require: Machine Learning, Python, Statistics, Agentic Systems, Data Science.

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Anomaly Detection

172 active AI roles across 56 companies mention Anomaly Detection. Category: Applied ML Domains.

Demand trend

New AI postings mentioning Anomaly Detection per week — 128 total over 12 weeks.

Sector

All Big Tech · 65 Enterprise · 34 Data AI · 11 Banking · 10 Retail · 8 AI Frontier · 7 Vertical AI · 6 Semiconductors · 6 Fintech · 5 Defense · 5 Media · 3 Insurance · 3 Consumer · 3 Auto · 2 Aerospace · 2 Telecom · 1 Hospitality · 1 Healthcare · 1

Function

All Engineering · 150 Research · 14 Product · 9

Status

All Active only

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AI score Recently posted Company A–Z

173 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Google	Research Engineer, Frontier Safety Mitigations, DeepMind	Big Tech	9	L4
Google	Research Engineer, Frontier Safety Mitigations, DeepMind	Big Tech	9	L4
CrowdStrike	Sr. Data Scientist (Hybrid)	Enterprise	9	L4
Axon	Senior Agentic AI Research Scientist	Enterprise	9	L4
Databricks	Staff Software Engineer, AI Runtime	Data AI	9	L3
Apple	Applied AI Engineer	Big Tech	9	L4
Reddit	Senior Machine Learning Engineer, GenAI Security	Consumer	9	L4
Anthropic	Research Engineer, RL Infrastructure (Knowledge Work)	AI Frontier	9	L5
Scale AI	Research Scientist, AI Controls and Monitoring	Data AI	9	L5
Walmart	Distinguished, Software Engineer -AI/ML Engineer – Agentic Systems

Frequently asked questions

What is Anomaly Detection and how common is it in AI job postings?
Anomaly Detection is a skill in the "Applied ML Domains" category. It currently appears in 172 active AI roles across 56 companies in our index.
Which companies are hiring for Anomaly Detection?
The top employers with active AI roles mentioning Anomaly Detection are: Amazon (46), Apple (12), Walmart (7), Adobe (7), Oracle (5).
Is demand for Anomaly Detection growing?
Over the last 12 weeks, 128 new AI postings mentioned Anomaly Detection. Demand is rising — up 216% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Anomaly Detection used?
Roles requiring Anomaly Detection are concentrated in: agents (67%), application (14%), serving infrastructure (9%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with Anomaly Detection?
Job postings that mention Anomaly Detection most often also require: Machine Learning, Python, Statistics, Agentic Systems, Data Science.

Anomaly Detection

Top employers

Often paired with

Demand trend

Frequently asked questions

Anomaly Detection

Top employers

Often paired with

Demand trend

Frequently asked questions