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Home Based Python Machine Learning Jobs (NOW HIRING)

Write clean, scalable, maintainable, and well-tested Python code * Support monitoring ... Hybrid work environment based in Cary, NC * Applicants must be authorized to work in the U.S ...

Company Description PatternAI is an automated machine learning platform that reveals critical ... Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas) * Broad familiarity with ...

Company Description PatternAI is an automated machine learning platform that reveals critical ... Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas) * Broad familiarity with ...

POSITION SUMMARY As a Fintech company where Machine Learning (ML) is one of the key drivers of ... Hands-on programming experience in Python and ML frameworks such as PyTorch * Equipped with good ...

Strong python, have work experiment on LLM, gen AI, Lang chain, Lang Graph, Python API, Google ... Implement short-term and long-term memory strategies for LLM-based systems. Optimize prompts ...

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

Write clean, well-documented, and production-quality Python code. * Communicate findings, results ... Duties and responsibilities may change based on business needs. $160,000 - $190,000 a year The base ...

Required : • Expertise in Python (including NumPy, pandas, and other packages) • Experience with either PyTorch or TensorFlow • Deep understanding of machine learning fundamentals (gradient ...

... based on given project requirements. Current projects include, but are not limited to, detection ... Develop ATR algorithms using Python, MATLAB and C++ for real world applications. Leverage ...

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Home Based Python Machine Learning information

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

As of May 31, 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:
Infographic showing various Home Based Python Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 7% As Needed, 29% Full Time, 4% Part Time, 57% Contract, and 2% Nights. Highlights an 73% Physical, 18% Hybrid, and 9% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Machine Learning Engineer

ExtendMyTeam

Cary, NC

Full-time

Posted 11 days ago


Job description

Join a high-growth financial technology organization focused on building modern digital banking, payments, lending, and risk solutions for financial institutions and fintech partners. This team is investing in machine learning and analytics capabilities to help improve fraud detection, predictive insights, and operational decision-making across customer-facing products.

This is an opportunity to work on applied machine learning systems that directly support real-world fraud and risk workflows. The team owns solutions end-to-end and is focused on building scalable, production-ready ML applications that deliver measurable customer impact.

Position Summary

We are seeking a Machine Learning Engineer to help design, deploy, and support production machine learning systems within a collaborative engineering organization. This individual will work closely with software engineers, data scientists, and product teams to operationalize machine learning models, improve ML infrastructure, and support scalable analytics workflows.

This is a hands-on engineering role focused on production systems, model deployment, APIs, pipelines, and ML operations rather than purely research-oriented machine learning work.

Responsibilities

  • Build and maintain systems and pipelines supporting machine learning training, evaluation, inference, and monitoring

  • Deploy and support machine learning models in production environments

  • Write clean, scalable, maintainable, and well-tested Python code

  • Support monitoring, troubleshooting, and optimization of production ML systems and data pipelines

  • Collaborate cross-functionally with engineering, data science, and product teams to operationalize ML solutions

  • Improve the reliability, scalability, and performance of ML infrastructure and services

  • Contribute to tooling and processes that support the machine learning development lifecycle

  • Participate in code reviews, technical discussions, and collaborative problem solving

Required Qualifications

  • 2+ years of experience in machine learning engineering, software engineering, or related technical experience

  • Strong Python development experience

  • Experience working with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn

  • Experience deploying or supporting machine learning models in production environments

  • Experience writing clean, maintainable code and using version control tools such as Git

  • Exposure to cloud platforms such as AWS, GCP, or Azure

  • Understanding of taking machine learning models from research/development into production systems

Additional Information

  • Hybrid work environment based in Cary, NC

  • Applicants must be authorized to work in the U.S. without sponsorship

  • Competitive compensation, benefits, flexible time off, and career development opportunities