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Freelance Full Stack Machine Learning Engineer Jobs in Baltimore, MD

Link, LLC

Full Stack Developer, BS+3

Annapolis, MD · On-site

Responsibilities: • Build a full stack application in collaboration with machine learning and artificial intelligence engineers doing novel computer vision model development. • Interact with ML ...

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Freelance Full Stack Machine Learning Engineer information

See Baltimore, MD salary details

$44.2K

$133.9K

$189.3K

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

As of Sep 8, 2026, the average yearly pay for freelance 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 Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Baltimore, MD?

The most popular types of Full Stack Machine Learning Engineer jobs in Baltimore, MD are:

What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in Baltimore, MD?

For Freelance Full Stack Machine Learning Engineer jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Baltimore, MD look for?

The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Freelance Full Stack Machine Learning Engineer jobs?

Cities near Baltimore, MD with the most Freelance Full Stack Machine Learning Engineer job openings:

Freelance Full Stack Machine Learning Engineer jobs near you
Infographic showing various Freelance Full Stack Machine Learning Engineer job openings in Baltimore, MD as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $133,913 per year, or $64.4 per hour.

Machine Learning Engineer

Columbia, MD • On-site

Maverc Technologies
IT Services • 1 - 10 employees
Learn more about Maverc Technologiesexternal

Full-time

Re-posted 21 days ago

Job description

Become part of a team solving the most significant Cybersecurity & IT Challenges and helping keep the world’s largest and most elite brands safer from cyber threats. At Maverc we have a powerful mindset based on our core values of being accountable, helpful, adaptable, and focused. Maverc Technologies is a proven and effective small business partner and consultant, recognized as a leader in providing cyber security and IT services to the Federal, State, and local Government and within the Intelligence Community. Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate customers.



Job Duties and Responsibilities 

A talented Machine Learning Engineer to support our AI Center of Excellence! In this role, you and your team will be responsible for the entire lifecycle of machine learning models, from managing and deploying them to troubleshooting any pipeline issues that arise. We offer a collaborative environment where you will work closely with engineers and data scientists to bring impactful ML solutions to life.

Responsibilities include, but are not limited to:

  • Manage and deploy machine learning models into production
  • Debug and troubleshoot issues with deployment pipelines
  • Utilize and understand core ML tooling
  • Work with dataframes to manipulate and prepare data for models
  • Collaborate with the various teams within the AI Center of Excellence to ensure successful model implementation
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms


QUALIFICATIONS AND EXPERIENCE 

  • Active SECRET
  • US Citizenship
  • Minimum of 8 years’ experience in DevOps or MLOps
  • Understanding of machine learning modeling techniques and algorithms
  • Experience with Python, Docker, Kubernetes and Git
  • Skilled in common data science libraries (Scikit-learn, PyTorch, etc)
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • Experience with deploying open-source LLMs
  • DataBricks
  • Splunk
  • Continuous Integration/Continuous Deployment
  • Knowledge of statistics and concepts in neural networks


Education: Bachelor’s or Master’s in Computer Science, Computer Engineering, or other related field.


Apply