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Machine Learning Engineer Part Time Jobs in Maryland

Data Scientist

Edgewood, MD · On-site

$77K - $176K/yr

... programming languages for data analysis * 2+ years of experience with developing, updating ... Experience working with Machine Learning, Artificial Intelligence (AI), or Natural Language ...

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

$292K/yr

Ever-expanding technology like machine learning (ML) and artifi cia l intelligence (AI) means that ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Databricks Engineer

Bethesda, MD · On-site

$62K - $141K/yr

In this role, you will apply AI-enabled analytics and machine learning techniques to solve real ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI and ML Engineer

Annapolis, MD · On-site

$99K - $225K/yr

As an experienced engineer, you know that machine learning (ML) is critical to understanding and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Machine Learning Engineer Part Time information

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 are the key skills and qualifications needed to thrive as a Machine Learning Engineer Part Time, and why are they important?

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.

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 most commonly searched types of Machine Learning Engineer jobs in Maryland? The most popular types of Machine Learning Engineer jobs in Maryland are:
What cities in Maryland are hiring for Machine Learning Engineer Part Time jobs? Cities in Maryland with the most Machine Learning Engineer Part Time job openings:
Senior Software Engineer - AI Trainer

Senior Software Engineer - AI Trainer

micro1 AI

Baltimore, MD • Remote

$100 - $230/hr

Part-time

Posted 23 days ago


Job description

Job Title: Senior Software Engineer


Job Type: Contractor (~15 hrs a week)


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.


As an expert you will be creating Reinforcement Learning Environments which test and AI model’s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.




Required Skills and Qualifications:

  1. Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  2. Deep understanding of algorithms, data structures, and performance tuning.
  3. Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  4. Strong background in feature development and codebase refactoring.
  5. Proven ability to optimize software for performance and scalability.
  6. Exceptional written and verbal communication skills, with a keen attention to detail.
  7. Track record of success in collaborative, cross-functional teams, ideally in remote settings.



Preferred Qualifications:

  1. Previous experience working on large-scale, distributed codebases.
  2. Familiarity with modern AI or machine learning systems is a plus, though not required.
  3. Background in participating in rigorous code reviews and contributing to the development of software best practices.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.