Machine Learning Jobs in Maryland
Machine learning jobs in Maryland are concentrated in federal defense contracting, cybersecurity, biomedical research, and financial technology, with demand at levels from junior ML engineer to principal scientist and research director. The heaviest hiring happens in and around the Baltimore-Columbia corridor, Bethesda, and the Washington D.C. suburbs, where established employers such as Northrop Grumman, Booz Allen Hamilton, and Johns Hopkins University Applied Physics Laboratory maintain active ML teams. The most sought-after specialties in Maryland's market are natural language processing, computer vision, and ML infrastructure engineering. See the openings below and apply to the ones that match your experience.
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Build to something to be proud of.
Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country.
Description
Captivation Software is looking for a mid level AI/ML engineer who will be responsible for designing, creating, testing, and productizing AI/ML algorithms to solve business challenges
Responsibilities
- Select appropriate data sets
- Perform statistical analysis
- Run machine learning algorithms
- Use results to improve models
- Train and retrain systems when needed
- Experience in working with various ML libraries and packages
- Run standard test and evaluation protocols
- Provide system integration oversight
- Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
- Research and implement a broad range of AI and ML algorithms and tools
- Design or Select appropriate data and knowledge representation methods
- Recognize software architecture, data modelling, and data structures
- Transform and convert data science prototypes into scalable solutions
- Verify data and model output quality
- Identify differences in data distribution that affect model performance
Requirements
Security Clearance:
- Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen
Minimum Qualifications:
- Five (5) years of experience deploying machine learning algorithms is required.
- A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required.
- 5 additional years machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
Required Skills:
- Demonstrated abilities in software engineering and AI/ML model test and evaluation.
This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.
Benefits
- Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)
- Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
- Above Market Hourly Rates
- $3,600 HSA Contribution
- 6 Weeks Paid Time Off
- Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D
See All 31 Machine Learning Jobs in Maryland
Find roles in Maryland that match your experience and apply in just a few clicks.
Find Machine Learning JobsMachine Learning Jobs by City in Maryland
Where Maryland roles are concentrated, by current openings.
Machine Learning Job Market in Maryland
A snapshot from current Maryland openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Insurance
- Education
- Science & Research
- Aerospace & Defense
- Government & Public Sector
What Maryland Employers Look For
The qualifications that appear most often in machine learning jobs across Maryland.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for ML workloads
- Active DoD security clearance or ability to obtain one, given Maryland's federal contracting market
- Strong foundation in statistics, linear algebra, and algorithmic problem-solving for model development
Machine Learning Jobs in Maryland: Frequently Asked Questions
How do you become a machine learning engineer in Maryland?
Maryland does not require a state-issued license to work as a machine learning engineer. The standard path begins with a bachelor's degree in computer science, mathematics, or a related field, though many Maryland employers, particularly federal contractors and research institutions, prefer or require a master's degree or PhD. Building a portfolio of deployed models and contributing to open-source projects strengthens candidacy significantly in this market.
Which companies hire machine learning engineers in Maryland?
Employers hiring machine learnings in Maryland right now include Johns Hopkins University Applied Physics Laboratory, GEICO, and RealmOne, based on current listings on Migrate Mate as of September 2026. Maryland's concentration of federal agencies and defense contractors means many of these employers work on intelligence, cybersecurity, and health informatics applications, making the market distinct from purely commercial tech hubs.
Which Maryland cities have the most machine learning jobs?
Laurel, Annapolis Junction, and Bethesda lead Maryland for machine learning openings. The Baltimore and Bethesda areas anchor the market because of their density of federal agencies, NIH-affiliated research centers, and defense contractors, while the Columbia and Rockville corridors draw biotech and cybersecurity employers that run substantial ML teams.
Are there remote machine learning jobs in Maryland?
Yes, and more than most fields. About 60% of machine learning openings tied to Maryland are remote or hybrid as of September 2026, reflecting the desk-based and analytical nature of the work. Roles focused on model development, data pipeline engineering, and research tend to offer the most location flexibility, while positions requiring access to classified networks or on-site hardware labs are typically in-person.
How can I get hired as a machine learning engineer in Maryland with little or no experience?
The most realistic entry path is a graduate research assistantship or internship through a Maryland university with strong ML programs, such as the University of Maryland College Park or Johns Hopkins. Large employers like Booz Allen Hamilton and Leidos run associate and junior analyst programs that accept candidates with strong academic projects instead of commercial experience. Building a public GitHub portfolio demonstrating end-to-end model work and targeting entry-level data scientist or ML associate titles opens the most doors.
Where can I find and apply to machine learning jobs in Maryland?
You can find and apply to machine learning jobs in Maryland on Migrate Mate, which lists current openings from employers actively hiring in the state. Search the listings, identify roles that match your background and target specialization, and apply directly to the ones that fit.
See All 31 Machine Learning Jobs in Maryland
Find roles in Maryland that match your experience and apply in just a few clicks.
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