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COMPANIES USING

Companies Using Kubeflow

1,480 companies are actively hiring Kubeflow talent across 72 countries.

Kubeflow is the open-source toolkit teams use to run machine learning workflows on Kubernetes: training pipelines, distributed training jobs, hyperparameter tuning and model serving through KServe. A company hiring for it is building an in-house MLOps platform instead of relying only on a managed service like SageMaker or Vertex AI. That choice usually brings needs for GPU capacity, feature stores, experiment tracking, model monitoring and Kubernetes cost management.

Buying Signal

Kubeflow hiring means a company has committed engineering headcount to operating its own ML infrastructure, and it is likely buying the pieces Kubeflow does not cover well, such as observability, data versioning, GPU scheduling and security for model endpoints. Some of these teams later move to managed platforms when upkeep costs rise, so the signal suits both add-on sellers and replacement sellers. A GPU cloud or managed MLOps vendor should prospect these accounts with a pitch on cutting cluster operations work.

Top Companies50 shown

Top companies hiring Kubeflow talent in 2026
CompanyIndustryHQ LocationSizeJobsLinks
adesso SE
adesso.de
 IT Services and IT Consulting Dortmund, Germany 5,001+ 960
Canonical
canonical.com
 Software Development Greater London, United Kingdom 1,001–5,000 1,215
Cactus Communications
cactusglobal.com
 Software Development Mumbai, India 1,001–5,000 318
On
on.com
 Retail Zurich, Switzerland 1,001–5,000 134
Falabella
falabella.com
 Retail Santiago, Chile 1,001–5,000 311
CoreWeave
coreweave.com
 Technology, Information and Internet New York, United States 1,001–5,000 128
Deploja
deploja.se
 IT Services and IT Consulting Stockholm, Sweden 11–50 161
Evlo AI
evlo.ai
 Software Development San Francisco, United States 11–50 129
CVS Health
cvshealth.com
 Hospitals and Health Care Woonsocket, United States 10,001+ 1,856
Accenture
accenture.com
 Business Consulting and Services Ireland 10,001+ 430
IBM
ibm.com
 IT Services and IT Consulting Armonk, United States 10,001+ 440
Techcombank (TCB)
techcombankjobs.com
 Banking Hà Nội, Vietnam 10,001+ 187
NetApp
netapp.com
 Software Development San Jose, United States 10,001+ 260
Thermo Fisher Scientific
thermofisher.com
 Biotechnology Research Waltham, United States 10,001+ 356
Caterpillar Inc.
caterpillar.com
 Machinery Manufacturing Irving, United States 10,001+ 258
State Street
statestreet.com
 Financial Services Boston, United States 10,001+ 404
EPAM Systems
epam.com
 IT Services and IT Consulting Newtown, United States 10,001+ 163
HD Supply
hdsupply.com
 Wholesale Atlanta, United States 10,001+ 242
Accenture services Pvt Ltd
accenture.com
 Information Technology & Services Chennai, India 10,001+ 155
WSP in India
wsp.com
 Professional Services Noida, India 10,001+ 483
Standard Chartered
sc.com
 Banking Greater London, United Kingdom 10,001+ 308
DHL Supply Chain
logistics.dhl
 Transportation, Logistics, Supply Chain and Storage Bonn, Germany 10,001+ 355
Tata Consultancy Services
tcs.com
 IT Services and IT Consulting Mumbai, India 10,001+ 218
A.P. Moller - Maersk
maersk.com
 Transportation, Logistics, Supply Chain and Storage Copenhagen, Denmark 10,001+ 394
Experis
experis.com
 IT Services and IT Consulting Milwaukee, United States 10,001+ 176
Luxoft
luxoft.com
 IT Services and IT Consulting Zug, Switzerland 10,001+ 234
Hewlett Packard Enterprise
hpe.com
 IT Services and IT Consulting Houston, United States 10,001+ 419
Ingersoll Rand
irco.com
 Industrial Machinery Manufacturing Davidson, United States 10,001+ 506
Barclays
home.barclays
 Financial Services Greater London, United Kingdom 10,001+ 344
Fujitsu
global.fujitsu
 IT Services and IT Consulting Munich, Germany 10,001+ 310
Ingersoll Rand Compressor Systems & Services
ingersollrand.com
 Machinery Manufacturing United States 10,001+ 145
Verisure
verisure.com
 Consumer Services Madrid, Spain 10,001+ 147
Grupo Fleury
grupofleury.com.br
 Wellness and Fitness Services São Paulo, Brazil 10,001+ 254
BNP Paribas
bnpp.lk
 Banking Paris, France 10,001+ 468
Roche
roche.com
 Biotechnology Research Switzerland 10,001+ 416
DXC Technology
dxc.technology
 IT Services and IT Consulting Ashburn, United States 10,001+ 179
ZF Group
zf.com
 Motor Vehicle Parts Manufacturing Friedrichshafen, Germany 10,001+ 139
Leidos
leidos.com
 Defense and Space Manufacturing Reston, United States 10,001+ 414
Emerson
emerson.com
 Automation Machinery Manufacturing St. Louis, United States 10,001+ 378
CMA CGM
cma-cgm.com
 Transportation, Logistics, Supply Chain and Storage Marseille, France 10,001+ 134
Politi
politi.dk
 Law Enforcement Copenhagen, Denmark 10,001+ 137
GE Vernova
gevernova.com
 Energy Technology Boston, United States 10,001+ 395
McKesson
mckesson.com
 Hospitals and Health Care Irving, United States 10,001+ 350
Boeing
boeing.com
 Aviation & Aerospace Arlington, United States 10,001+ 329
Coforge
coforge.com
 IT Services and IT Consulting Noida, India 10,001+ 159
Google
google.com
 Software Development Mountain View, United States 10,001+ 310
Honeywell Technologies
honeywell.com
 Automation Machinery Manufacturing Charlotte, United States 10,001+ 379
Synechron
synechron.com
 Technology, Information and Internet New York, United States 10,001+ 243
BNY
bny.com
 Financial Services New York, United States 10,001+ 414
Acrisure
bonek.com
 Financial Services Grand Rapids, United States 10,001+ 333

1,480 companies use Kubeflow. Want the full list?

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Market Signal

1,480 companies across 72 countries is a specialist footprint. IT Services and IT Consulting accounts for 515 of them, which shows that much Kubeflow work is delivered by integrators building platforms for clients, so partner channels matter as much as direct sales.

Stack Intelligence

Kubeflow runs on Kubernetes, so these buyers already operate container clusters and have platform engineering skills. TensorFlow and PyTorch show they train their own models rather than only calling hosted APIs. Together with MLflow and Python, the stack points to a mature, code-first ML team that is a good fit for infrastructure-level tools rather than no-code AI products.

Hiring Landscape

Kubeflow in the Market

Where and how companies hire Kubeflow talent

By Country

United States
615
India
167
United Kingdom
66
France
65
Germany
63
Brazil
47
Spain
39
Canada
31

By Industry

IT Services and IT Consulting
515
Software Development
264
Technology, Information and Internet
112
Business Consulting and Services
83
Information Technology & Services
83
Financial Services
73
Banking
30
Telecommunications
18

Top Roles

Software Engineer527Data Engineer521Project Manager396Data Scientist374Devops Engineer351Product Manager339Ai Engineer330Business Analyst321Data Analyst231Full Stack Developer204Machine Learning Engineer203Java Developer186

Related Technologies

KubernetesTensorFlowPyTorchMLflowPython

What is Kubeflow?

Kubeflow is a machine learning toolkit for Kubernetes. Kubeflow hiring signals Kubernetes-native ML workflows.

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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 Kubeflow?

Kubeflow is an open-source platform for building, training and deploying machine learning models on Kubernetes, giving companies repeatable ML pipelines on their own infrastructure. When a company hires for it, the signal is that it is investing in self-managed, production-grade MLOps.

Why should sales teams track Kubeflow hiring?

Kubeflow hiring identifies companies with real ML workloads and the budget to staff them, which filters out accounts that are only experimenting. For example, a model-monitoring vendor can target firms posting Data Engineer and DevOps Engineer roles that mention Kubeflow, since those teams are moving models into production.

Who should be selling to companies that use Kubeflow?

Likely sellers include GPU cloud and compute providers, managed MLOps and model-serving platforms, ML observability and data-quality vendors, and Kubernetes cost and security tools.