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Remote Python Machine Learning Jobs in New York (NOW HIRING)

Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch ... Knowledge of machine learning techniques and algorithms, including fine tuning processes and ...

Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Senior Machine Learning Engineer

Brooklyn, NY ยท On-site +1

$130K - $200K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning ... Proficient with Python, SQL * Have the willingness to wear many hats, be passionate about ...

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Remote Python Machine Learning information

What is a remote Python machine learning?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What does a remote Python machine learning professional do?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the key skills and qualifications needed to thrive in remote Python machine learning?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are the most commonly searched types of Python Machine Learning jobs in New York?

The most popular types of Python Machine Learning jobs in New York are:

Infographic showing various Remote Python Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer - Remote

New York, NY โ€ข 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.