ZipRecruiter

Log In

1

Home Based Python Machine Learning Jobs (NOW HIRING)

Diverse Lynx

Machine Learning | Python

Bellevue, WA

$56.75 - $78.25/hr

Technology Specialist - IT Service, Support and Operations | Machine Learning | Python Work Location: Bellevue, WA 98006 Contract duration: 12months Job Details: Must Have Skills Python Postgres zure ...

Stefanini

Machine Learning Engineer

Allen Park, MI

J2EE, Logistics, Python, Machine Learning Skills Preferred:AIPGEE, Advance data Migration, API ... Listed salary ranges may vary based on experience, qualifications, and local market. Also, some ...

Stefanini Group

Machine Learning Engineer

Allen Park, MI · On-site

$61 - $66/hr

J2EE, Logistics, Python, Machine Learning Skills Preferred: * AIPGEE, Advance data Migration, API ... Listed salary ranges may vary based on experience, qualifications, and local market. Also, some ...

next page

Showing results 1-20

All JobsHome Based Python Machine Learning Jobs

Home Based Python Machine Learning information

See salary details

$13

$58

$86

How much do home based python machine learning jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for home based python machine learning in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

More about Home Based Python Machine Learning jobs
What cities are hiring for Home Based Python Machine Learning jobs? Cities with the most Home Based Python Machine Learning job openings:
What are the most commonly searched types of Python Machine Learning jobs? The most popular types of Python Machine Learning jobs are:
What states have the most Home Based Python Machine Learning jobs? States with the most job openings for Home Based Python Machine Learning jobs include:
What job categories do people searching Home Based Python Machine Learning jobs look for? The top searched job categories for Home Based Python Machine Learning jobs are:
Home Based Python Machine Learning jobs near you
Infographic showing various Home Based Python Machine Learning job openings in the United States as of June 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Python Unix machine learning Support Engineer

Python Unix machine learning Support Engineer

Centraprise

Chandler, AZ • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title : Python Unix machine learning Support Engineer
Job Location : Chandler, AZ (ONSITE)
Job Type : Full-Time
Job Description:
Python Unix machine learning Support Engineer
Must Have Technical/Functional Skills
Unix, ShellScripting, Python, Machine learning, Production Support
Roles & Responsibilities
• System Configuration: Configuring Unix systems to meet specific requirements and standards.
• Troubleshooting: Identifying and resolving issues with Unix systems and applications.
• Scripting: Automating repetitive tasks using Python scripts.
• Performance Optimization: Analyzing and improving the performance of Unix systems.
• Documentation: Creating and maintaining system documentation and guides.
• Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.
• Implement AI workflows using Python, agent frameworks, and orchestration tools
• Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination
• Integrate LLMs with enterprise systems and APIs
• These roles are essential for maintaining the reliability and efficiency of Unix-based systems, and Python skills
can be leveraged to automate and streamline these tasks.
• Designed, developed, and deployed machine learning models using supervised and unsupervised learning
techniques to solve real world business problems.
• Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.
• Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production
use cases.

Apply