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Financial Services Companies Using PyTorch

262 companies in Financial Services are hiring PyTorch talent, with 863 open roles.

262
Companies
863
Open Roles

PyTorch is the deep learning framework of choice for financial services firms building proprietary AI models — from fraud detection to algorithmic trading systems. When a company posts PyTorch roles, they're not experimenting; they're building or scaling a custom model infrastructure that will need MLOps tooling, compute resources, and data pipeline support. The co-occurrence of Hugging Face and MLflow in these hiring clusters suggests teams moving from research prototypes into production deployments.

Buying Signal

A financial services firm hiring PyTorch engineers is actively building models they intend to own and operate — not buy off the shelf. This signals near-term spend on GPU cloud infrastructure, vector databases, model monitoring platforms, and potentially LLM fine-tuning services. Sales reps at cloud providers, data infrastructure companies, and AI observability vendors should treat these job postings as a 30-to-90-day pipeline trigger.

Top Companies50 shown

CompanyIndustryHQ LocationSizeJobsLast SeenLinks
L
LSEG
Financial Services New York, United States 10,001+ 65 5w ago
Voya Financial
voya.com
Financial Services New York, United States 5,001+ 48 6w ago
Capco
capco.com
Financial Services Greater London, United Kingdom 5,001+ 9 6w ago
GM Financial
adobeaemcloud.com
Financial Services Fort Worth, United States 5,001+ 4 6w ago
Freddie Mac
freddiemac.com
Financial Services McLean, United States 5,001+ 4 5w ago
Wise
wise.com
Financial Services Greater London, United Kingdom 5,001+ 4 6w ago
MSCI Inc.
msci.com
Financial Services New York, United States 1,001–5,000 13 6w ago
Point72
point72.com
Financial Services Stamford, United States 1,001–5,000 8 2mo ago
IMC Trading
imc.com
Financial Services Amsterdam, Netherlands 1,001–5,000 7 6w ago
PRGX Global Inc.
prgx.com
Financial Services Atlanta, United States 1,001–5,000 7 2mo ago
Susquehanna International Group
sig.com
Financial Services Lower Merion Township, United States 1,001–5,000 7 6w ago
Coinbase
coinbase.com
Financial Services Australia 1,001–5,000 6 6w ago
Osaic
osaic.com
Financial Services Scottsdale, United States 1,001–5,000 6 6w ago
Optiver
optiver.com
Financial Services Amsterdam, Netherlands 1,001–5,000 5 6w ago
DRW
drw.com
Financial Services Chicago, United States 1,001–5,000 4 7w ago
InvestCloud, Inc.
investcloud.com
Financial Services West Hollywood, United States 1,001–5,000 4 1mo ago
Two Sigma
twosigma.com
Financial Services New York, United States 1,001–5,000 4 7w ago
WorldQuant
worldquant.com
Financial Services Greenwich, United States 501–1,000 7 7w ago
Bairong, Inc.
100credit.com
Financial Services Beijing, China 501–1,000 5 3mo ago
Gemini
gemini.com
Financial Services New York, United States 501–1,000 4 6w ago
XM
xm.com
Financial Services Limassol, Cyprus 501–1,000 4 7w ago
Cerberus Capital Management
cerberus.com
Financial Services New York, United States 501–1,000 3 1mo ago
Tether.io
tether.io
Financial Services 201–500 88 6w ago
AlphaGrep
alpha-grep.com
Financial Services Mumbai, India 201–500 6 4mo ago
Kuda
kuda.com
Financial Services Greater London, United Kingdom 201–500 4 4mo ago
Solfácil
solfacil.com.br
Financial Services Brazil 201–500 4 7w ago
Freedx
freedx.com
Financial Services El Salvador 51–200 6 3mo ago
Taktile
taktile.com
Financial Services New York, United States 51–200 5 7w ago
Credit Genie
creditgenie.com
Financial Services Philadelphia, United States 51–200 4 7w ago
Yuno
y.uno
Financial Services New York, United States 51–200 4 2mo ago
Bondora
bondora.group
Financial Services Tallinn, Estonia 51–200 3 2mo ago
Bondaval
bondaval.com
Financial Services Greater London, United Kingdom 11–50 3 6w ago
The Hartford
thehartford.com
Financial Services Hartford, United States 10,001+ 51 5w ago
Capital One
capitalone.com
Financial Services McLean, United States 10,001+ 31 6w ago
S&P Global
spglobal.com
Financial Services New York, United States 10,001+ 19 6w ago
Global Payments Inc.
globalpayments.com
Financial Services Atlanta, United States 10,001+ 16 7w ago
Goldman Sachs
goldmansachs.com
Financial Services New York, United States 10,001+ 15 5w ago
State Street
statestreet.com
Financial Services Boston, United States 10,001+ 10 6w ago
Lloyds Banking Group
lloydsbankinggroup.com
Financial Services Greater London, United Kingdom 10,001+ 8 6w ago
Morgan Stanley
morganstanley.com
Financial Services New York, United States 10,001+ 7 6w ago
HSBC
hsbc.com
Financial Services Greater London, United Kingdom 10,001+ 6 6w ago
BlackRock
blackrock.com
Financial Services New York, United States 10,001+ 5 6w ago
Block
block.xyz
Financial Services Oakland, United States 10,001+ 5 6w ago
BNY
bny.com
Financial Services New York, United States 10,001+ 5 1mo ago
Bloomberg
bloomberg.com
Financial Services New York, United States 10,001+ 4 7w ago
Commonwealth Bank
commbank.com.au
Financial Services Sydney, Australia 10,001+ 4 6w ago
Equifax
equifax.com
Financial Services Atlanta, United States 10,001+ 4 1mo ago
New York Life Insurance Company
newyorklife.com
Financial Services New York, United States 10,001+ 4 7w ago
UBS
ubs.com
Financial Services Zurich, Switzerland 10,001+ 4 6w ago
Vanguard
vanguard.com
Financial Services Schuylkill Township, United States 10,001+ 4 7w ago

262 companies use PyTorch. Want the full list?

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Market Signal

With 262 financial services companies posting 863 open PyTorch roles, demand is running at roughly 3.3 roles per company — indicating teams that are scaling, not just experimenting. This volume suggests PyTorch has moved from a research tool to a core engineering requirement across the sector.

⦿Stack Intelligence

The pairing of PyTorch with TensorFlow, Hugging Face, and MLflow in the same hiring clusters signals teams managing multi-framework environments with serious model lifecycle requirements. Companies hiring across all four technologies are likely past the proof-of-concept stage and shopping for production-grade MLOps and model registry solutions. This stack combination is a strong qualifier for vendors selling experiment tracking, deployment automation, or model governance tools.

PyTorch Hiring Landscape

Where and how companies hire PyTorch talent

By Country

United States
105
India
62
United Kingdom
31
Canada
24
China
20
Brazil
16
Singapore
11
Germany
9

Top Roles

AI Architect56AI Research Engineer - Reinforcement Learning (100% Remote)25AI Research Engineer - Pre training (100% Remote)24Data Scientist23Senior Research Engineer - Multimodal & Video Foundation Model22AI Engineer20Applied Researcher I18Senior Data Scientist16Machine Learning Engineer10Senior Staff AI Data Engineer - Hybrid10Head of AI (R&D) - (100% remote)9Lead Data Scientist9

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Frequently Asked Questions

What is PyTorch?

PyTorch is an open-source framework used to build and train machine learning models, widely adopted in financial services for applications like risk modeling, NLP, and quantitative research. Hiring for PyTorch signals that a company is building differentiated AI capabilities in-house rather than relying on vendor APIs.

Why should sales teams track PyTorch hiring?

PyTorch hiring predicts upstream and downstream technology purchases — compute, data infrastructure, and model management tools typically follow within one to two quarters. A sales rep selling cloud GPUs or data labeling services can use this signal to time outreach before budget is already committed.

Who should be selling to companies that use PyTorch?

Vendors best positioned to prospect these companies include cloud infrastructure providers (AWS, GCP, Azure), MLOps platforms, data labeling and annotation services, and AI compliance or model risk management software vendors.