echoloc
Get started
COMPANIES USING

Companies Using Amazon SageMaker

197 companies are actively hiring Amazon SageMaker talent across 32 countries.

Amazon SageMaker is AWS's managed machine learning platform, used to build, train, and deploy ML models at scale. When a company starts hiring for SageMaker expertise, it signals they're moving past experimentation and committing to productionized AI — which means active spend on cloud infrastructure, data pipelines, and MLOps tooling. These companies are likely evaluating or already buying data labeling services, model monitoring tools, and cloud cost optimization solutions.

Buying Signal

A company hiring SageMaker talent is building or scaling an internal ML platform, which typically triggers purchasing decisions across data infrastructure, compute, and governance. They're likely replacing ad-hoc notebook environments with structured MLOps pipelines — a clear opening for vendors selling observability, feature stores, or CI/CD tooling for ML. DevOps-focused AEs and data infrastructure reps should be prioritizing these accounts.

Top Companies50 shown

Top companies hiring Amazon SageMaker talent in 2026
CompanyIndustryHQ LocationSizeJobsLinks
SoftwareOne
softwareone.com
 IT Services and IT Consulting Stans, Switzerland 5,001+ 124
AUTO1 Group
auto1-group.com
 Technology, Information and Internet Berlin, Germany 5,001+ 165
Qualitest
qualitestgroup.com
 IT Services and IT Consulting Greater London, United Kingdom 5,001+ 162
Metlen Energy & Metals
metlen.com
 Metal Ore Mining Greece 5,001+ 92
Tiger Analytics
tigeranalytics.com
 Business Consulting and Services Santa Clara, United States 5,001+ 150
CI&T
ciandt.com
 IT Services and IT Consulting New York, United States 5,001+ 97
Brooksource
brooksource.com
 IT Services and IT Consulting Indianapolis, United States 1,001–5,000 142
ABOUT YOU
aboutyou.de
 Internet Marketplace Platforms Hamburg, Germany 1,001–5,000 113
Version 1
version1.com
 IT Services and IT Consulting Ireland 1,001–5,000 305
SailPoint
sailpoint.com
 Software Development Austin, United States 1,001–5,000 124
ValueMomentum
valuemomentum.com
 IT Services and IT Consulting Piscataway Township, United States 1,001–5,000 96
Iris Software Inc.
irissoftware.com
 IT Services and IT Consulting Edison, United States 1,001–5,000 97
OneTrust
onetrust.com
 Software Development Atlanta, United States 1,001–5,000 111
Uplers
uplers.com
 Technology, Information and Internet Hyderabad, United States 1,001–5,000 80
Wavestone
wavestone.com
 Business Consulting and Services Puteaux, France 1,001–5,000 87
Lattice Semiconductor
latticesemi.com
 Semiconductor Manufacturing Hillsboro, United States 1,001–5,000 120
Zühlke Group
zuehlke.com
 IT Services and IT Consulting Schlieren, Switzerland 1,001–5,000 106
Socure
socure.com
 Software Development Incline Village-Crystal Bay, United States 501–1,000 139
Turnitin
turnitin.com
 Software Development Oakland, United States 501–1,000 104
DCCA
dcca.com
 IT Services and IT Consulting Ellicott City, United States 201–500 155
Global Software Solutions Group
gsstechgroup.com
 IT Services and IT Consulting United Arab Emirates 201–500 122
hackajob
hackajob.com
 Software Development Greater London, United Kingdom 51–200 222
Pentangle Tech Services | P5 Group
pentangletech.com
 Engineering Services Farmington Hills, United States 51–200 146
Base-2 Solutions
base-2solutions.com
 Defense and Space Manufacturing Columbia, United States 51–200 95
Amazon Web Services (AWS)
amazon.com
 IT Services and IT Consulting Seattle, United States 10,001+ 893
GE HealthCare
gehealthcare.com
 Hospitals and Health Care Chicago, United States 10,001+ 186
Atlassian
atlassian.com
 Software Development Sydney, Australia 10,001+ 193
Takeda
takeda.com
 Pharmaceutical Manufacturing Japan 10,001+ 374
Workday
workday.com
 Software Development Pleasanton, United States 10,001+ 331
Sun Life
sunlife.com
 Financial Services Hong Kong, China 10,001+ 192
Alcon
alcon.com
 Medical Equipment Manufacturing Geneva, Switzerland 10,001+ 175
SoftServe
softserveinc.com
 IT Services and IT Consulting Austin, United States 10,001+ 180
Topgolf
linktr.ee
 Entertainment Providers Dallas, United States 10,001+ 509
Birlasoft
birlasoft.com
 IT Services and IT Consulting Pune, India 10,001+ 231
AstraZeneca
astrazeneca.com
 Pharmaceutical Manufacturing Cambridge, United Kingdom 10,001+ 353
Optum India
optum.in
 IT Services and IT Consulting 10,001+ 138
Delta Air Lines
delta.com
 Airlines and Aviation Atlanta, United States 10,001+ 152
PwC India
pwc.in
 Business Consulting and Services Kolkata, India 10,001+ 504
Munich Re
munichre.com
 Insurance Munich, Germany 10,001+ 169
Barclays
home.barclays
 Financial Services Greater London, United Kingdom 10,001+ 313
Guidehouse
guidehouse.com
 Business Consulting and Services McLean, United States 10,001+ 209
Cardinal Health
cardinalhealth.com
 Hospitals and Health Care Dublin, United States 10,001+ 194
Revvity
revvity.com
 Biotechnology Research Waltham, United States 10,001+ 154
Mapfre
mapfre.com
 Insurance Majadahonda, Spain 10,001+ 163
Reply
reply.com
 IT Services and IT Consulting Turin, Italy 10,001+ 112
LSEG
lseg.com
 Financial Services Greater London, United Kingdom 10,001+ 505
Slalom
slalom.com
 Business Consulting and Services Seattle, United States 10,001+ 164
Oxy
oxy.com
 Oil and Gas Houston, United States 10,001+ 80
Expleo Group
expleo.com
 IT Services and IT Consulting France 10,001+ 511
AGCO Corporation
agcocorp.com
 Machinery Manufacturing Duluth, United States 10,001+ 160

197 companies use Amazon SageMaker. Want the full list?

Export to CSV

Free account · no credit card required

Market Signal

132 companies posting nearly 41,000 roles tied to SageMaker reflects a mature but still-expanding adoption wave — this isn't early-adopter noise, it's mainstream enterprise deployment. The volume suggests SageMaker is now a default choice for AWS-native ML teams, not an experimental tool.

Stack Intelligence

The co-occurrence of PyTorch, TensorFlow, Python, S3, and broader AWS signals these teams are running end-to-end ML workflows entirely within the AWS ecosystem. That stack maturity means they have real data volumes, real model deployment needs, and real operational overhead — all of which create buying opportunities for vendors in data versioning, pipeline orchestration, and cloud spend management. If your product integrates with AWS or complements any of these tools, these accounts are high-fit targets.

Hiring Landscape

Amazon SageMaker in the Market

Where and how companies hire Amazon SageMaker talent

By Country

United States
100
United Kingdom
13
India
11
Germany
7
Japan
6
Australia
5
Singapore
5
Spain
5

By Industry

IT Services and IT Consulting
78
Software Development
24
Information Technology & Services
13
Business Consulting and Services
11
Financial Services
9
Technology, Information and Internet
7
Insurance
4
Banking
3

Top Roles

Data Engineer74Software Engineer65Ai Engineer48Data Scientist47Devops Engineer46Project Manager45Business Analyst40Product Manager39Solution Architect32Data Analyst29Data Architect29Program Manager28

Related Technologies

AWSPyTorchTensorFlowPythonAWS Lambda

What is Amazon SageMaker?

Amazon SageMaker is a fully managed ML service on AWS. SageMaker hiring signals AWS-native machine learning development.

Take Action

See who’s actively building with Amazon SageMaker

Open in echoloc →

Free account · no credit card required

How this page is built

echoloc compiles technology-adoption signals from public hiring and company data — career pages, public listings, and company web presence — then clusters and de-duplicates them into the summary above. Figures are estimates that refresh over time. Read our full methodology →

This is not an official customer or user list. It is a technology-adoption signal inferred from public data, intended for B2B research.

Frequently Asked Questions

What is Amazon SageMaker?

Amazon SageMaker is a cloud-based ML platform that lets data teams build, train, and deploy machine learning models without managing underlying infrastructure. For sales teams, hiring for it signals a company is operationalizing AI — not just experimenting with it.

Why should sales teams track Amazon SageMaker hiring?

SageMaker hiring indicates active investment in ML infrastructure, which correlates with budgets for adjacent tools and services. A rep selling data quality, model monitoring, or cloud optimization has a concrete reason to reach out when this signal appears.

Who should be selling to companies that use Amazon SageMaker?

Vendors best positioned to sell into SageMaker-hiring companies include MLOps and model monitoring platforms, cloud cost management tools, data pipeline and orchestration vendors, and AWS consulting or managed services partners.