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Home Based Python Machine Learning Jobs in Washington, NJ

Universal Business Consulting

Java Developer

Bedminster, NJ · On-site

$52 - $67.25/hr

Integrate machine learning models into enterprise applications * Work on backend development using Java and/or Python * Utilize strong SQL database experience * Collaborate with cross-functional ...

Verizon

Senior AI Engineer

Basking Ridge, NJ · On-site

$107K - $147K/yr

Experience with Python, R, or similar programming languages for data science and machine learning ... Experience working in an Agile environment or within cross-functional, pod-based operating models.

Pwc

AI Engineer

Florham Park, NJ

$50K - $112K/yr

... Machine Learning-based solutions at scale. Your work will involve designing AI systems, data ... using Python and TensorFlow - Integrating data from various sources to create unified views for ...

Valley Bank

Data Scientist Manager

Morristown, NJ · On-site

$164K - $171K/yr

Machine learning platforms (DataRobot); * SQL Server; and * Programming Languages R and Python. Salary: $164,050 to $171,900/year. Standard benefits package. Apply online

Concord Advice

Data Scientist - Intern

Florham Park, NJ · On-site

$40K - $70K/yr

Comfortable working with a range of machine learning and statistical packages in Python, along with ... based on the length of the internship. Final compensation within this range is determined by ...

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All JobsHome Based Python Machine Learning JobsHome Based Python Machine Learning Jobs in Washington, NJ

Home Based Python Machine Learning information

See Washington, NJ salary details

$12

$56

$83

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

As of Aug 20, 2026, the average hourly pay for home based python machine learning in Washington, NJ is $56.80, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.52 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.

What cities near Washington, NJ are hiring for Home Based Python Machine Learning jobs?

Cities near Washington, NJ with the most Home Based Python Machine Learning job openings:

Home Based Python Machine Learning jobs near you
Infographic showing various Home Based Python Machine Learning job openings in Washington, NJ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, and 6% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $118,145 per year, or $56.8 per hour.

AI / Machine Learning Engineer

Apogee Global RMS

Piscataway, NJ • On-site

Full-time

Posted 19 days ago

Job description

Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer vision solutions that drive innovation in identity, security, automation, and digital trust.

The ideal candidate will have strong experience developing production-grade machine learning models, working across the full ML lifecycle—from data preparation and model development to deployment and optimization across cloud and mobile environments.

Key Responsibilities:
  • Design and develop AI/ML models for computer vision, image classification, object detection, OCR, and feature extraction.
  • Build real-time image quality assessment, data processing, and intelligent capture solutions.
  • Develop and maintain data pipelines for data collection, labeling, cleaning, and augmentation.
  • Optimize ML models for cloud and mobile/on-device inference.
  • Implement fraud detection, anomaly detection, and security-focused AI capabilities.
  • Integrate ML models into production APIs and software platforms.
  • Monitor model performance and continuously improve accuracy and scalability.
  • Collaborate with engineering, product, and business teams to deliver AI-driven solutions.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field (or equivalent experience).
  • 3+ years of experience building and deploying machine learning models in production environments.
  • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar.
  • Experience with computer vision libraries (OpenCV) and OCR technologies.
  • Strong understanding of deep learning architectures for image and text recognition.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong problem-solving skills and ability to thrive in a fast-paced environment.
Preferred Qualifications:
  • Experience with model optimization and quantization for mobile deployment.
  • Knowledge of synthetic data generation and data augmentation techniques.
  • Background in fraud detection, anomaly detection, security, or identity technologies.
  • Familiarity with data privacy and compliance standards.
  • Experience contributing to open-source projects or AI research.
What You’ll Do:
  • Build next-generation AI capabilities with real-world enterprise impact.
  • Work on innovative computer vision and machine learning challenges.
  • Partner with talented engineering teams to move AI solutions from research to production.
  • Drive improvements in accuracy, performance, and scalability.

Benefits

For any questions (OR) to apply, please contact us at careers@apogeeglobalrms.com.