AI ML Engineering Jobs in Maryland
AI ML Engineering jobs in Maryland concentrate in federal defense contracting, cybersecurity, biomedical research, and financial technology, with demand at every level from early-career engineers to principal and staff roles. The most active hiring is in the Baltimore-Columbia-Annapolis corridor, the DC suburbs of Montgomery and Prince George's counties, and the Aberdeen area, where established employers such as Booz Allen Hamilton, Northrop Grumman, and Johns Hopkins Applied Physics Laboratory maintain deep and ongoing AI and machine learning teams. The most sought-after specialties in Maryland listings are natural language processing, computer vision, and MLOps for government and defense applications. Find a role that fits below and apply directly.
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About Peraton
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.
About The Role
Peraton seeks an AI / ML Senior Data Scientist to support Department of War Cyber Defense Command (DCDC) with defensive cyberspace operations and AI support. Location: Fort Meade, MD. In this role, you will perform advanced statistical analysis, develop machine learning (ML) models, and conduct operational research to support cyber defense decision-making and threat characterization.
Primary Responsibilities include:
- Develop and validate predictive and prescriptive analytic models
- Apply statistical and ML techniques for anomaly detection and event correlation
- Conduct quantitative and qualitative analyses to identify operational trends
- Collaborate with mission partners to translate requirements into analytic solutions
- Document analytic workflows and methodologies for knowledge transfer
- Mentor junior data scientists and provide technical guidance
- Analyze unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
Qualifications
Required Qualifications:
- Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D. Will consider Associates degree and 14 years of experience or HS and 16 years of experience.
- Advanced proficiency in Python, R, SQL
- Experience with machine learning model development and deployment; experience with machine learning, algorithm analysis, and data clustering.
- Strong statistical analysis and hypothesis testing skills
- Experience with data visualization and reporting
- Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments
- U.S Citizenship required
- DoD TS Clearance with ability to obtain/maintain SCI
Preferred Qualifications:
- AWS/Azure certifications
- Master's degree in Data Science, Statistics, Mathematics, or related field
- Knowledge of cyber defense operations
- DoD TS SCI Clearance
Details
Target Salary Range: $176,000 - $282,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
About Peraton
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.
About The Role
Peraton seeks an AI / ML Senior Data Scientist to support Department of War Cyber Defense Command (DCDC) with defensive cyberspace operations and AI support. Location: Fort Meade, MD. In this role, you will perform advanced statistical analysis, develop machine learning (ML) models, and conduct operational research to support cyber defense decision-making and threat characterization.
Primary Responsibilities include:
- Develop and validate predictive and prescriptive analytic models
- Apply statistical and ML techniques for anomaly detection and event correlation
- Conduct quantitative and qualitative analyses to identify operational trends
- Collaborate with mission partners to translate requirements into analytic solutions
- Document analytic workflows and methodologies for knowledge transfer
- Mentor junior data scientists and provide technical guidance
- Analyze unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
Qualifications
Required Qualifications:
- Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D. Will consider Associates degree and 14 years of experience or HS and 16 years of experience.
- Advanced proficiency in Python, R, SQL
- Experience with machine learning model development and deployment; experience with machine learning, algorithm analysis, and data clustering.
- Strong statistical analysis and hypothesis testing skills
- Experience with data visualization and reporting
- Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments
- U.S Citizenship required
- DoD TS Clearance with ability to obtain/maintain SCI
Preferred Qualifications:
- AWS/Azure certifications
- Master's degree in Data Science, Statistics, Mathematics, or related field
- Knowledge of cyber defense operations
- DoD TS SCI Clearance
Details
Target Salary Range: $176,000 - $282,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
See All 7 AI ML Engineering Jobs in Maryland
Find roles in Maryland that match your experience and apply in just a few clicks.
Find AI ML Engineering JobsAI ML Engineering Jobs by City in Maryland
Where Maryland roles are concentrated, by current openings.
AI ML Engineering Job Market in Maryland
A snapshot from current Maryland openings, updated as new roles post.
Who's Hiring
What Maryland Employers Look For
The qualifications that appear most often in AI ML engineering jobs across Maryland.
- Bachelor's or master's degree in computer science, electrical engineering, or a closely related field
- Proficiency in Python and at least one major ML framework such as TensorFlow or PyTorch
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment
- Ability to obtain or hold an active U.S. security clearance for defense and government roles
- Strong communication skills to present model results and findings to technical and non-technical stakeholders
AI ML Engineering Jobs in Maryland: Frequently Asked Questions
How do you become a ai ml engineering in Maryland?
The most direct path is a bachelor's degree in computer science, data science, or a related engineering field, followed by hands-on project experience in model development and deployment. Maryland has no state-issued license specific to AI or machine learning engineering. Many roles in the state, particularly those tied to federal agencies and defense contractors around the Baltimore and DC metro areas, also require candidates to be eligible for a security clearance, which effectively becomes a key credential in the Maryland market.
Which companies hire ai ml engineerings in Maryland?
Employers hiring ai ml engineerings in Maryland right now include Peraton, Benz Technology, and Analytica, based on current listings on Migrate Mate as of November 2026. Maryland's concentration of federal contractors, intelligence community partners, and research institutions like Johns Hopkins and the University of Maryland drives consistently high demand from both large primes and mid-size technology firms across the state.
Which Maryland cities have the most ai ml engineering jobs?
Fort Meade, Jessup, and Laurel account for the largest share of ai ml engineering openings in Maryland. The Baltimore and DC suburban corridor, including Bethesda, Rockville, and College Park, leads because of its dense cluster of federal agencies, defense contractors, and research universities, while smaller hubs like Aberdeen and Annapolis draw openings from military installations and naval research centers anchored there.
Are there remote ai ml engineering jobs in Maryland?
Yes, and more than most fields. About 0% of ai ml engineering openings tied to Maryland are remote or hybrid as of November 2026, reflecting how naturally suited the role is to distributed work. The most fully remote opportunities tend to be in pure software-side ML work such as model development, data pipeline engineering, and research roles, while positions requiring access to classified systems or on-premises infrastructure are more likely to require on-site presence.
How can I get hired as a ai ml engineering in Maryland with little or no experience?
The most realistic entry path is through a strong portfolio of personal or academic ML projects combined with a relevant degree or a recognized certification such as an AWS Machine Learning Specialty or Google Professional Machine Learning Engineer credential. In Maryland specifically, federal contractor internship pipelines at organizations like Booz Allen Hamilton and Leidos actively recruit new graduates and convert those internships to full-time offers. University of Maryland and Johns Hopkins both run research assistant and co-op programs that serve as a direct bridge into industry roles, and adjacent positions such as data analyst or software engineer are common lateral moves into ML engineering.
Where can I find and apply to ai ml engineering jobs in Maryland?
You can find and apply to ai ml engineering jobs in Maryland on Migrate Mate, which lists current openings across the state. Search the listings to find roles that match your background and apply directly to the ones that fit.
See All 7 AI ML Engineering Jobs in Maryland
Find roles in Maryland that match your experience and apply in just a few clicks.
Find AI ML Engineering Jobs