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Python Machine Learning Jobs in New York (NOW HIRING)

SysMind Tech

Machine Learning

Manhattan, NY · On-site

$85/hr

Title - Machine Learning ( F2F interview is required) Location - New York, NY ( Hybrid 2-3 days ... Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark Bachelor s degree in Computer Science ...

Forhyre

Machine Learning Engineer

New York, NY

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 ...

Judi Health

Machine Learning Engineer

New York, NY · Remote

We are looking for a software engineer with machine learning expertise to join us in expanding our ... Develop and maintain backend services using Python, focusing on AI-driven applications. * Design ...

Point72

Machine Learning Engineer

New York, NY · On-site

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 ...

Point72

Machine Learning Engineer

New York, NY

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 ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

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 ...

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How much do python machine learning jobs pay per hour?

As of May 29, 2026, the average hourly pay for python machine learning in New York 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 a Python Machine Learning job?

A Python Machine Learning job involves developing, training, and deploying machine learning models using Python. Professionals in this role work with libraries like TensorFlow, scikit-learn, and PyTorch to analyze data, build predictive models, and optimize algorithms. Responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models to production environments. These roles are commonly found in industries like finance, healthcare, and e-commerce, where data-driven decision-making is crucial.

What are the key skills and qualifications needed to thrive in the Python Machine Learning position, and why are they important?

To thrive as a Python Machine Learning professional, you need a strong background in statistics, programming (especially Python), data analysis, and machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Proficiency in libraries and frameworks like scikit-learn, TensorFlow, PyTorch, and familiarity with data visualization and version control tools are highly valued, as are relevant certifications such as TensorFlow Developer or AWS Machine Learning. Strong problem-solving ability, effective communication, and teamwork skills are important for collaboration and translating technical findings to non-technical stakeholders. These competencies enable you to design, develop, and deploy robust machine learning models that drive business solutions and innovation.

What does a typical workday look like for a Python Machine Learning professional?

A typical workday for a Python Machine Learning professional often involves tasks like cleaning and pre-processing data, developing and training machine learning models, and evaluating their performance using statistical metrics. You'll collaborate with data engineers, data scientists, and product managers to understand business requirements and integrate models into production environments. Regularly, you'll participate in code reviews, team meetings, and troubleshooting sessions to optimize model performance and address any issues. This dynamic role requires both independent project work and frequent cross-functional collaboration to ensure that solutions meet real-world needs.
More about Python Machine Learning jobs
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:
What are popular job titles related to Python Machine Learning jobs in New York? For Python Machine Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Python Machine Learning jobs in New York look for? The top searched job categories for Python Machine Learning jobs in New York are:
Python Machine Learning jobs near you
Infographic showing various Python Machine Learning job openings in New York as of May 2026, with employment types broken down into 4% As Needed, 68% Full Time, 15% Part Time, 4% Temporary, and 9% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

ML, Python Developer (Strong Machine Learning)

Futran Tech Solutions Pvt. Ltd.

Iselin, NJ • On-site

$51 - $70.25/hr

Full-time

Posted 11 days ago

Job description

Job Title: ML, Python Developer (Strong Machine Learning)
Location: Iselin, NJ [ (Day one Onsite)
F2F Interview
Job Description:
We are seeking a highly skilled Machine Learning (ML) and Python Developer with strong expertise in machine learning algorithms, deep learning frameworks, and software development. The ideal candidate will have a deep understanding of data science, statistical modeling, and artificial intelligence, with hands-on experience in implementing and deploying ML models in production environments.
Required Skills
Solid understanding of machine learning concepts, algorithms, and deep learning architectures.
Familiarity with cloud-based ML deployment (AWS SageMaker, Azure ML, or Google AI Platform).
Proficiency in SQL and NoSQL databases for data retrieval and manipulation.
Experience with version control (Git) and ML model deployment frameworks such as Flask, FastAPI, or Docker.
Knowledge of MLOps tools and practices for model lifecycle management.
Experience in developing enterprise Python (not simple test projects)
API/Fast API experience
GenAI experience bonus
Someone smart/enthusiastic/willing to go extra mile to get job done.

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