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Python Machine Learning Jobs in New Jersey (NOW HIRING)

Crowe LLP

Machine Learning Intern

Livingston, NJ

$27 - $42/hr

... Python (readable, reusable, modular, and well-abstracted code) Using Linux, the terminal, and other core development tools Understanding source control (git), containerization (docker) and deployment ...

Conch Technologies Inc

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Python Developer Location: Jersey City, NJ / Dallas, TX / Tampa, FL / Boston, MA Duration: 12 ... machine learning services. * Troubleshoot application issues, perform root cause analysis, and ...

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How much do python machine learning jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python machine learning in New Jersey is $59.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $67.60 per hour, depending on experience, location, and employer.

What is a Python machine learning?

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 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.

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

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

What are popular job titles related to Python Machine Learning jobs in New Jersey?

For Python Machine Learning jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Python Machine Learning jobs in New Jersey look for?

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Python Machine Learning jobs near you
Infographic showing various Python Machine Learning job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $123,790 per year, or $59.5 per hour.

Machine Learning Engineer - Forecasting & Production Systems

Newark, NJ • On-site

Mai Placement
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Mai Placementexternal

Full-time

Posted 22 days ago

Job description

Machine Learning Engineer – Predictive Forecasting & Time Series

Newark, NJ
$150,000 – $200,000

Why This Role Exists

We are looking for a Machine Learning Engineer who has built predictive models around time-dependent data and deployed them into real production environments.

The primary focus is forecasting and predictive analytics used to improve decisions around demand, sales, inventory, purchasing, and operational planning.

This is not an LLM or generative AI role. We are specifically looking for experience building predictive models where time, historical patterns, seasonality, trends, and future outcomes matter.

What You Will Own

  • Build and improve production-grade forecasting and predictive models using time-dependent data.
  • Develop SKU-level, demand, sales, inventory, or other operational forecasting systems.
  • Own models from development through deployment, monitoring, retraining, and ongoing improvement.
  • Build and optimize data pipelines supporting predictive ML systems.
  • Measure model performance and continuously improve forecast accuracy.
  • Partner with business and operational teams to turn model outputs into better decisions.

What Success Looks Like

  • Forecasting accuracy improves measurably over time.
  • Predictive outputs are trusted and actively used by business teams.
  • Models perform reliably in production at meaningful data scale.
  • Forecasts improve purchasing, inventory, capacity, or operational decision-making.
  • Models can be iterated and deployed quickly as business conditions change.

What You Need

  • Proven experience building time series, temporal, forecasting, or other time-dependent predictive models.
  • Experience deploying machine learning models into production.
  • Strong Python and machine learning/statistical modeling skills.
  • Experience working with large transactional or operational datasets.
  • Experience building or supporting production ML data pipelines.
  • Ability to connect model performance to real business outcomes.

Especially Relevant Experience

Experience predicting outcomes such as:

  • Demand
  • Sales
  • Inventory requirements
  • Purchasing needs
  • Capacity
  • Production volume
  • Customer behavior over time
  • Other future operational or business outcomes

Experience with methods such as gradient boosting, regression, tree-based models, classical statistical forecasting, probabilistic forecasting, or deep-learning approaches to temporal data is relevant.

The important requirement is not a specific algorithm. It is evidence that you have successfully built predictive models where time-dependent data was central to the problem.

Email Resume: Joel@maiplacement.com
Apply Online: https://jobs.crelate.com/portal/maiplacement/job/57uddx43h4me63xrn6z1157iec

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