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Machine Learning Engineer Part Time Jobs (NOW HIRING)

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Machine Learning & NLP Expert

$80 - $110/hr

This is a part-time, fully remote opportunity requiring approximately 20 hours per week ... Feature Engineering and Model Optimization * Experience with industry-standard frameworks such as ...

Varsity Tutors

Machine Learning Tutor

Amarillo, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Tutor

Kingsport, TN · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Tutor

Bowie, MD · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Tutor

OR · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Tutor

VA · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Tutor

OK · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Tutor

NM · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Tutor

West Lafayette, IN · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Tutor

Paterson, NJ · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Tutor

Sugar Land, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Tutor

Hoboken, NJ · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Tutor

Omaha, NE · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Tutor

Cambridge, MA · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Somerville, MA · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Engineer Part Time information

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$31.5K

$128.8K

$193.5K

How much do machine learning engineer part time jobs pay per year?

As of Sep 15, 2026, the average yearly pay for machine learning engineer part time in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer part time?

A Machine Learning Engineer (Part Time) is a professional who designs, builds, and implements machine learning models and algorithms, but works fewer hours than a full-time employee—often on a flexible or project-based schedule. These engineers collaborate with data scientists and software developers to integrate intelligent systems into products or services. Part-time roles are ideal for those seeking work-life balance, students, or professionals supplementing their income. Responsibilities may include data preprocessing, model training, and deployment, but the scope is typically tailored to fit part-time hours.

What are the key skills and qualifications needed to thrive as a machine learning engineer part time?

To thrive as a Machine Learning Engineer Part Time, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and ideally a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, and cloud platforms, as well as experience with version control systems like Git, is typically required. Excellent problem-solving abilities, adaptability, and clear communication are valuable soft skills for collaborating on projects and conveying technical concepts. These skills ensure effective development, deployment, and optimization of machine learning models within the constraints of a part-time role.

How do part-time machine learning engineers typically balance project ownership with limited working hours?

Part-time Machine Learning Engineers often focus on well-defined project segments, collaborating closely with full-time team members to ensure alignment and continuity. Clear communication, thorough documentation, and regular check-ins are key to maintaining progress and integrating their contributions seamlessly. While they may not own entire projects, they often take responsibility for specific modules, models, or experiments, and their schedules are usually coordinated to overlap with team meetings or sprints. This structure allows part-time engineers to add significant value while maintaining a manageable workload.

What is the difference between Machine Learning Engineer Part Time vs Data Scientist Part Time?

AspectMachine Learning Engineer Part TimeData Scientist Part Time
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentTech companies, startups, research labs; project-basedBusiness, finance, healthcare; data analysis and reporting
Employer & Industry UsageTech firms, AI startups, R&D departmentsCorporate sectors, consulting firms, research institutions

Machine Learning Engineer Part Time focuses on developing and deploying ML models, while Data Scientist Part Time emphasizes analyzing data to extract insights. Both roles often require similar educational backgrounds and may work in overlapping industries, but their core responsibilities differ. Understanding these distinctions helps job seekers target the right position based on their skills and career goals.

What cities are hiring for Machine Learning Engineer Part Time jobs?

Cities with the most Machine Learning Engineer Part Time job openings:

What are the most commonly searched types of Machine Learning Engineer jobs?

The most popular types of Machine Learning Engineer jobs are:

What states have the most Machine Learning Engineer Part Time jobs?

States with the most job openings for Machine Learning Engineer Part Time jobs include:

What are popular job titles related to Machine Learning Engineer Part Time jobs?

For Machine Learning Engineer Part Time jobs, the most frequently searched job titles are:

Machine Learning Engineer Part Time jobs near you

CLOUD - AI/ML Engineer (Part Time)

Fort George G Meade, MD • On-site

Steel Point Solutions
Business Management Consulting • 11 - 50 employees
Learn more about Steel Point Solutionsexternal

Part-time, Contractor

Posted 18 days ago

Job description

Steel Point Solutions is an amazing SBA Certified (8a), HUBZone, Small Disadvantaged Business (SDB) and a Woman Owned Small Business (WOSB) company. Established in 2013 with a vision of offering world class, integrated business solutions for all levels of Government and commercial enterprises. We are represented by a team of talented and qualified professionals who know how essential efficient, cost-effective integrated solutions are to your organization's success. Leveraging these resources, we strive daily to lead the industry in program management and service delivery. 

Role Summary

The AI/ML Engineer serves in a part-time, 1099 independent contractor capacity and is responsible for designing, developing, and deploying machine learning models and artificial intelligence solutions that drive Steel Point's data-driven initiatives. This role involves creating algorithms, working with large datasets, and implementing AI/ML solutions to solve complex business challenges. The AI/ML Engineer will collaborate with data scientists, software engineers, and other stakeholders to integrate, optimize, and scale AI/ML systems within existing infrastructure.

Key Roles & Responsibilities

  • Model Development: Design, develop, and train machine learning models, including supervised, unsupervised, and reinforcement learning algorithms.
  • Data Processing: Prepare and preprocess large datasets for training and validation of AI/ML models, including data cleaning, feature engineering, and transformation.
  • Algorithm Implementation: Implement and optimize AI/ML algorithms using industry-standard libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
  • Deployment: Deploy AI/ML models into production environments, ensuring scalability, reliability, and performance.
  • Performance Monitoring: Monitor and evaluate model performance, making necessary adjustments and improvements to enhance accuracy and efficiency.
  • Collaboration: Work closely with data scientists, software engineers, and business stakeholders to understand requirements and integrate AI/ML solutions into applications and systems.
  • Documentation: Create and maintain documentation for AI/ML models, including design, development, and deployment processes.
  • Innovation: Stay updated with the latest advancements in AI/ML technologies and methodologies, applying new techniques to improve existing models and solutions.
  • Ethics and Compliance: Ensure AI/ML solutions adhere to ethical guidelines and regulatory requirements, including fairness, transparency, and privacy.

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • 3+ years of experience in AI/ML engineering, including hands-on experience with model development and deployment.
  • 3+ years of experience with data processing and manipulation using tools such as Pandas, NumPy, and SQL.
  • Proven experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras)
  • Candidate Must Have an Active Top Secret SCI Poly Security Clearance. 

Preferred Qualifications

  • A Master's degree or PhD in a relevant field is preferred
  • Certifications:
    • AI/ML-related certifications (e.g., Google Cloud Certified - Professional Machine Learning Engineer, AWS Certified Machine Learning - Specialty) are preferred.
    • Certifications in data science or analytics (e.g., Certified Data Scientist) are a plus.

Skills and Competencies

  • Machine Learning: Strong knowledge of machine learning algorithms, techniques, and best practices.
  • Data Engineering: Proficiency in data processing, feature engineering, and working with large datasets.
  • Technical Skills: Experience with AI/ML frameworks and libraries, and programming languages such as Python, R, or Java.
  • Problem-Solving: Strong analytical and problem-solving skills to address complex AI/ML challenges and optimize model performance.
  • Collaboration: Ability to work effectively with cross-functional teams, including data scientists, engineers, and business stakeholders.
  • Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical audiences.
  • Ethical Awareness: Understanding of ethical considerations and regulations related to AI/ML technologies, including fairness and privacy.

Candidates from Historically Underutilized Business Zones (HUBZone) are strongly encouraged to apply. To determine whether you reside in a HUBZone, visit: https://maps.certify.sba.gov/hubzone/map.

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