Companies that use machine learning include Meta, Intel, Deloitte, and several other companies.
What companies use Machine Learning the most?
1. Meta
Zippia score 4.8
Most common skills for Meta:
- Visualization
- POS
- API
- Java
2. Intel
Zippia score 4.7
Most common skills for Intel:
- Linux
- Perl
- Debugging
- Windows
- RTL
- Python
3. Deloitte
Zippia score 4.7
Most common skills for Deloitte:
- Project Management
- Java
- Business Development
- Process Improvement
- Business Process
- Financial Statements
4. Oracle
Zippia score 4.6
Most common skills for Oracle:
- Java
- Cloud
- CRM
- UI
- ERP
- HTML
5. Amazon
Zippia score 4.7
Most common skills for Amazon:
- Customer Orders
- Pallets
- Inventory Control
- Pallet Jack
- RF Scanner
- Problem Solve
6. Capital One
Zippia score 4.7
Most common skills for Capital One:
- Customer Service
- Process Improvement
- Credit Card
- Customer Inquiries
- Java
- Inbound Calls
7. Apple
Zippia score 4.8
Most common skills for Apple:
- Apple
- Customer Service
- Mac
- Product Knowledge
- Technical Issues
- Customer Satisfaction
9. JPMorgan Chase & Co.
Zippia score 4.8
Most common skills for JPMorgan Chase & Co.:
- Customer Service
- QA
- Process Improvement
- Customer Inquiries
- Customer Accounts
- SharePoint
10. Google
Zippia score 4.8
How Google uses Machine Learning:
- Lead crowdsourcing experiment designer for 10 engineering teams to help train machine learning models and improve ads products.
Most common skills for Google:
- Google Adwords
- YouTube
- QA
- HTML
- API
- ROI
11. Ford Motor
Zippia score 4.7
Most common skills for Ford Motor:
- Assembly Line
- Sigma
- Lean Manufacturing
- Customer Service
- Process Improvement
- ISO
12. The Travelers Companies
Zippia score 4.4
Most common skills for The Travelers Companies:
- ITIL
- GAAP
- Profitable Growth
- SDLC
- Arbitration
- UAT
13. J.P. Morgan
Zippia score 4.6
Most common skills for J.P. Morgan:
- Securities
- Risk Management
- Due Diligence
- Project Management
- Client Relationships
- Java
14. Pwc
Zippia score 4.8
Most common skills for Pwc:
- Financial Statements
- Project Management
- Real Estate
- Sarbanes-Oxley
- Internal Controls
- ERP
15. Pacific Northwest National Laboratory
Zippia score 4.5
How Pacific Northwest National Laboratory uses Machine Learning:
- Implemented machine learning algorithms LASSO/Elastic-Net (R/Python) to infer temporal regulatory networks.
Most common skills for Pacific Northwest National Laboratory:
- HVAC
- CFR
- DOE
- Data Analysis
- Java
- Python
16. E3 Federal Solutions, Llc
Zippia score 4.6
Most common skills for E3 Federal Solutions, Llc:
- SharePoint
- Scrum
- Management System
- Infrastructure
- Java
- Meeting Minutes
17. Huntington Ingalls Industries
Zippia score 4.3
Most common skills for Huntington Ingalls Industries:
- Hand Tools
- Aided Design
- Ladders
- MIG
- Design Drawings
- Encryption
19. Highmark
Zippia score 4.5
Most common skills for Highmark:
- Strong Analytical
- Customer Service
- Medicare
- PL/SQL
- Process Improvement
- Test Cases
Other skills
- MATLAB companies
- MEP companies
- MLS companies
- MM companies
- MOS companies
- MRI companies
- MRP companies
- MSHA companies
- MSW companies
- Mac companies
- Machine Learning companies
- Machine Operation companies
- Machine Operators companies
- Machine Shop companies
- Machine Tools companies
- Macro companies
- Magnetic Resonance Imaging companies
- Mail Delivery companies
- Mail Room companies
- Mainframe companies
- Maintenance Manuals companies
- Maintenance Procedures companies
- Maintenance Tasks companies
- Make-Up companies
- Makeup companies
- Management companies
- Management Services companies
- Management System companies
- Manual Labor companies
- Manual Lathes companies
- Manual Test Cases companies
- Market Analysis companies
- Market Research companies
- Market Share Growth companies
- Market Trends companies
- Marketing Campaigns companies
- Marketing Collateral companies
- Mask companies
- Master Data companies
- Materials Management companies
- Math companies
- Mathematics companies
- Mathematics Curriculum companies
- Maya companies
- Meal Prep companies
- Meal Preparation companies
- Meal Service companies
- Mechanical Assembly companies
- Mechanical Design companies
- Mechanical Engineering companies
- Mechanical Equipment companies
- Mechanical Problems companies
Updated December 28, 2023