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Part Time Full Stack Machine Learning Engineer Jobs in Baltimore, MD

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

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Software Engineer

Annapolis, MD · On-site

$86.90K - $198K/yr

As a full-stack developer, you can resolve a problem with a complete end-to-end solution in a fast ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Intern

Hanover, MD · On-site

$15 - $20/hr

Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer ... Familiarity with machine learning or data science concepts and experience with data visualization ...

... full-stack engineering coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... full-stack engineering coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... full-stack engineering coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... full-stack engineering coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Software Engineer, Lead

Laurel, MD · On-site

$112.80K - $257K/yr

As a full stack developer, you can resolve a problem with a complete end-to-end solution in a fast ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Supabase Tutor

Bowie, MD · Remote

$40/hr

... and full-stack project development to support developers from Supabase beginners through advanced ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Supabase Tutor

Laurel, MD · Remote

$40/hr

... and full-stack project development to support developers from Supabase beginners through advanced ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... and full-stack project development to support developers from Supabase beginners through advanced ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... and full-stack project development to support developers from Supabase beginners through advanced ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Part Time Full Stack Machine Learning Engineer information

See Baltimore, MD salary details

$44.2K

$133.9K

$189.3K

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

As of Jun 1, 2026, the average yearly pay for part time full stack machine learning engineer in Baltimore, MD is $133,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $157,000.00 per year, depending on experience, location, and employer.

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

AspectPart Time Full Stack Machine Learning EngineerPart Time Data Scientist
CredentialsTypically requires machine learning, software engineering, and programming skillsRequires statistics, data analysis, and programming skills
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights
Industry UsageUsed in tech, finance, healthcare for deploying intelligent systemsUsed across industries for data analysis and reporting

While both roles involve data and programming, the Part Time Full Stack Machine Learning Engineer focuses on building and deploying machine learning models within full-stack applications, whereas the Part Time Data Scientist primarily analyzes data to generate insights. The former requires more software engineering skills, while the latter emphasizes statistical analysis.

What are popular job titles related to Part Time Full Stack Machine Learning Engineer jobs in Baltimore, MD? For Part Time Full Stack Machine Learning Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Part Time Full Stack Machine Learning Engineer jobs in Baltimore, MD look for? The top searched job categories for Part Time Full Stack Machine Learning Engineer jobs in Baltimore, MD are:
Machine Learning Tutor

Machine Learning Tutor

Varsity Tutors

College Park, MD • Remote

$40/hr

Part-time

Posted 26 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Machine Learning Tutor
  • Advanced Subject Mastery: Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science roles and advanced AI coursework.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric interpretation. Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ROC curves. Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula and common challenges such as understanding bias-variance tradeoff, selecting appropriate algorithms for problem types, and interpreting model performance beyond accuracy. Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

What Varsity Tutors employees say

Pay

Hours and flexibility

Workplace

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