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Companies Using Amazon SageMaker

677 companies are actively hiring Amazon SageMaker talent, with 1,408 open roles across 50 countries.

677
Companies
1,408
Open Roles
50
Countries

Amazon SageMaker is AWS's end-to-end machine learning platform, used to build, train, and deploy ML models at scale. When a company posts SageMaker roles, it signals active investment in productionizing AI — not just experimenting with it. These companies are typically buying or evaluating MLOps tooling, cloud data infrastructure, and model monitoring solutions alongside their SageMaker buildout.

Buying Signal

A company hiring SageMaker engineers is moving ML out of notebooks and into production pipelines — which means active budget for data orchestration, feature stores, observability tools, and cloud spend management. They're likely building proprietary models rather than buying off-the-shelf AI. Vendors selling MLOps platforms, vector databases, data labeling services, or AWS cost optimization tools should be prospecting these accounts immediately.

Top Companies49 shown

Top companies hiring Amazon SageMaker talent in 2026
CompanyIndustryHQ LocationSizeJobsLast SeenLinks
Huron
huronconsultinggroup.com
 Business Consulting and Services Chicago, United States 5,001+ 7 2mo ago
Okta
okta.com
 Software Development San Francisco, United States 5,001+ 7 2mo ago
Elsevier
sciencedirect.com
 Information Services Amsterdam, Netherlands 5,001+ 7 2mo ago
Zelis
zelis.com
 Professional Services Boston, United States 1,001–5,000 10 2mo ago
Quantiphi
quantiphi.com
 IT Services and IT Consulting Marlborough, United States 1,001–5,000 9 2mo ago
Version 1
version1.com
 IT Services and IT Consulting Ireland 1,001–5,000 7 2mo ago
Xometry
xometry.com
 Software Development Lexington, United States 1,001–5,000 7 2mo ago
Ciklum
ciklum.com
 IT Services and IT Consulting Greater London, United Kingdom 1,001–5,000 6 2mo ago
Sigma Software Group
sigma.software
 Software Development Stockholm, Sweden 1,001–5,000 6 2mo ago
N-iX
n-ix.com
 IT Services and IT Consulting Valletta, Malta 1,001–5,000 5 2mo ago
Artefact
artefact.com
 Business Consulting and Services Paris, France 1,001–5,000 4 2mo ago
Whatnot
whatnot.com
 Technology, Information and Internet Los Angeles, United States 501–1,000 24 2mo ago
Sev1Tech LLC
sev1tech.com
 IT Services and IT Consulting Woodbridge, United States 501–1,000 9 2mo ago
Turnitin
turnitin.com
 Software Development Oakland, United States 501–1,000 8 2mo ago
Workato
workato.com
 Software Development Palo Alto, United States 501–1,000 7 2mo ago
Yayoi Co., Ltd.
yayoi-kk.co.jp
 Information Services Chiyoda, Japan 501–1,000 7 2mo ago
Truelogic Software
truelogic.io
 Information Technology & Services Village of Dobbs Ferry, United States 501–1,000 5 3mo ago
Allison Worldwide
allisonworldwide.com
 Public Relations and Communications Services San Francisco, United States 501–1,000 4 2mo ago
Scribd, Inc.
scribd.com
 Software Development San Francisco, United States 201–500 74 2mo ago
Neurons Lab
neurons-lab.com
 IT Services and IT Consulting Greater London, United Kingdom 201–500 22 3mo ago
Provectus
provectus.com
 IT Services and IT Consulting Palo Alto, United States 201–500 12 2mo ago
CommerceIQ
commerceiq.ai
 Software Development Mountain View, United States 201–500 5 2mo ago
Sezzle
sezzle.com
 Financial Services Minneapolis, United States 201–500 5 2mo ago
JSR Tech Consulting
jsrtechconsulting.com
 IT Services and IT Consulting Cranford, United States 51–200 5 2mo ago
Epergne Solutions
epergnesolutions.com
 IT Services and IT Consulting Singapore 11–50 7 5mo ago
Intuit
intuit.com
 Software Development Mountain View, United States 10,001+ 17 2mo ago
Credit Karma
creditkarma.com
 Consumer Services Oakland, United States 10,001+ 16 2mo ago
Thomson Reuters
thomsonreuters.com
 Software Development Toronto, Canada 10,001+ 15 2mo ago
Nordea
nordea.com
 Banking Helsinki, Finland 10,001+ 13 2mo ago
Synchrony
synchrony.com
 Financial Services Stamford, United States 10,001+ 11 2mo ago
GEICO
gei.co
 Insurance Washington, United States 10,001+ 10 2mo ago
Autodesk
autodesk.com
 Software Development San Francisco, United States 10,001+ 9 2mo ago
GlobalLogic
globallogic.com
 Software Development Santa Clara, United States 10,001+ 9 2mo ago
Pfizer
pfizer.com
 Pharmaceutical Manufacturing New York, United States 10,001+ 8 1mo ago
Synechron
synechron.com
 Technology, Information and Internet New York, United States 10,001+ 8 2mo ago
KPMG India
bl.ink
 Business Consulting and Services Gurgaon, India 10,001+ 7 2mo ago
AIG
aig.com
 Insurance New York, United States 10,001+ 6 2mo ago
Evernorth Health Services
evernorth.com
 Hospitals and Health Care St. Louis, United States 10,001+ 6 2mo ago
S&P Global
spglobal.com
 Financial Services New York, United States 10,001+ 6 2mo ago
Capitec
capitecbank.co.za
 Banking Stellenbosch Local Municipality, South Africa 10,001+ 5 2mo ago
LTIMindtree
ltimindtree.com
 IT Services and IT Consulting Mumbai, India 10,001+ 5 2mo ago
Rockwell Automation
rockwellautomation.com
 Automation Machinery Manufacturing Milwaukee, United States 10,001+ 5 2mo ago
Singtel
singtel.com
 Telecommunications Singapore 10,001+ 5 2mo ago
Slalom
slalom.com
 Business Consulting and Services Seattle, United States 10,001+ 5 2mo ago
Sun Life
sunlife.com
 Financial Services Hong Kong, China 10,001+ 5 2mo ago
Toyota North America
toyota.com
 Motor Vehicle Manufacturing Plano, United States 10,001+ 5 2mo ago
Virtusa
virtusa.com
 IT Services and IT Consulting Southborough, United States 10,001+ 5 2mo ago
Adobe
adobe.com
 Software Development San Jose, United States 10,001+ 4 1mo ago
Bayer
bayer.com
 Chemical Manufacturing Leverkusen, Germany 10,001+ 4 2mo ago

677 companies use Amazon SageMaker. Want the full list?

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▲Market Signal

701 companies posting 1,457 SageMaker roles points to an average of roughly two open positions per company — a sign of team expansion, not just backfill. This volume indicates SageMaker has crossed from early-adopter territory into mainstream enterprise ML infrastructure.

⦿Stack Intelligence

The co-occurrence of PyTorch, TensorFlow, Python, S3, and core AWS services confirms these are mature ML teams building custom model pipelines, not plug-and-play deployments. S3 appearing alongside SageMaker is a strong indicator of high data storage and egress spend. For sales targeting, this stack signals buyers who care about compute efficiency, data pipeline reliability, and model versioning.

Amazon SageMaker Hiring Landscape

Where and how companies hire Amazon SageMaker talent

By Country

United States
263
India
167
Canada
33
United Kingdom
41
Poland
17
Spain
20
Singapore
16
Brazil
19

By Industry

IT Services and IT Consulting
211
Software Development
112
Financial Services
62
Technology, Information and Internet
34
Business Consulting and Services
24
Information Technology & Services
32
Banking
13
Insurance
14

Top Roles

Machine Learning Engineer60Data Scientist38Senior Machine Learning Engineer37AI Engineer30Senior Machine Learning Engineer (Search)24Head of AI Engineering22Senior Data Scientist21AI/ML Engineer12VP, Model Validation and Validation COE11Lead AI Engineer10Senior Applied Scientist, NLP/GenAI9Senior AI Engineer8

Related Technologies

AWSPyTorchTensorFlowPythonAmazon S3AWS Lambda

What is Amazon SageMaker?

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

Don't just know who uses Amazon SageMaker.

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Browse Amazon SageMaker by Region & Industry

Amazon SageMaker by Country (2)

United States (263)India (167)

Amazon SageMaker by Industry (2)

IT Services and IT Consulting (211)Software Development (112)

Frequently Asked Questions

What is Amazon SageMaker?

Amazon SageMaker is a managed cloud platform that helps data teams build and ship machine learning models faster by handling infrastructure complexity. For businesses, it represents a commitment to running ML in production. Hiring for it signals a company is past the proof-of-concept stage and deploying real AI workflows.

Why should sales teams track Amazon SageMaker hiring?

SageMaker hiring predicts near-term spend on adjacent tooling — from data labeling and model monitoring to cloud cost controls. A company ramping a three-person SageMaker team is likely evaluating two or three complementary vendors at the same time. Tracking these roles gives sellers a 60-to-90-day head start on competitive deals.

Who should be selling to companies that use Amazon SageMaker?

Vendors best positioned here include MLOps and model observability platforms, cloud cost management tools, data labeling and annotation services, and enterprise data integration or pipeline vendors.