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Home Based Python Machine Learning Jobs in New York, NY

Write, review, and optimize Python and SQL code used in data analysis and machine learning workflows. * Design realistic business and analytics use cases based on professional experience and industry ...

Ability to write robust code in Python, Java and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) * Excellent communication skills * Ability ...

We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers ... Strong proficiency in manipulating spatial or geometric datasets using Python libraries (NumPy ...

Proficiency in Python, Golang, or other programming language * Proven ability to tackle ambiguous ... Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year ...

Proficiency in Python, Golang, or other programming language * Proven ability to tackle ambiguous ... Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year ...

Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is ...

Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is ...

Developing production-grade machine learning and AI systems using Python, SQL, distributed data processing, and software engineering practices. * Evaluating machine learning and AI solutions through ...

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Home Based Python Machine Learning information

See New York, NY salary details

$14

$64

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

As of Sep 8, 2026, the average hourly pay for home based python machine learning in New York, NY is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 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.

Machine Learning Engineer - Remote

YO AI Labs

New York, NY • Remote

Full-time

Posted 13 days ago


Job description

Machine Learning Engineer

Role Type: Contractor
Location: Remote

About the Role

We are looking for skilled Machine Learning Engineers to support AI training and evaluation projects. You'll use Python, machine learning, and data expertise to develop, evaluate, and improve ML solutions.

Key Responsibilities
  • Develop and refine machine learning models using Python.
  • Analyze and manage datasets using MongoDB.
  • Evaluate models, tune performance, and benchmark results.
  • Build data preprocessing and ML workflows.
  • Identify opportunities to improve model performance.
  • Document experiments, methodologies, and results.
Required Skills
  • Python
  • Machine Learning
  • MongoDB
  • Data Analysis & Preprocessing
  • Model Evaluation
  • Feature Engineering
Preferred Qualifications
  • Strong experience with Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Hands-on MongoDB experience in ML or data projects.
  • Strong problem-solving and analytical skills.
  • Understanding of ML evaluation metrics and data modeling.
  • Experience deploying ML models in cloud or enterprise environments.
  • Strong technical documentation and communication skills.