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Machine Learning Government Jobs in Maryland (NOW HIRING)

Metric5

AI Learning Specialist

Windsor Mill, MD · Remote

$150K - $170K/yr

... machine learning and AI accessible and engaging for a broad spectrum of learners working in technology-related roles in the government sector. Your role will be crucial to improving our clients ...

Metric5

AI Learning Specialist

Baltimore, MD · On-site

$150K - $170K/yr

... machine learning and AI accessible and engaging for a broad spectrum of learners working in technology-related roles in the government sector. Your role will be crucial to improving our clients ...

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Machine Learning Government information

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$13

$22

$30

How much do machine learning government jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for machine learning government in Maryland is $22.15, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $24.71 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Government position, and why are they important?

To excel in a Machine Learning Government role, candidates typically need expertise in data analysis, machine learning algorithms, and programming languages such as Python or R, often backed by a degree in computer science, data science, or a related field. Familiarity with government data systems, cloud platforms, and security protocols, as well as certifications like Certified Data Professional (CDP), can be valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts to non-experts are highly desirable soft skills. These competencies enable professionals to effectively integrate machine learning solutions while adhering to regulatory requirements and serving public sector objectives.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in government agencies, tech companies, or research institutions with competitive compensation packages.

Which 5 jobs will survive AI?

Machine Learning Government roles such as data analysts, AI policy specialists, cybersecurity experts, software engineers, and system administrators are likely to persist as they require complex decision-making, domain expertise, and human oversight that AI cannot fully replicate. These jobs often involve ethical considerations, strategic planning, and nuanced understanding of government operations. Continuous learning and certification in relevant tools and regulations can enhance job security in these fields.

Which 3 jobs will survive AI?

For a Machine Learning Government role, jobs that require complex problem-solving, human judgment, and ethical decision-making are likely to persist, such as policy analysts, cybersecurity specialists, and data privacy officers. These roles involve understanding nuanced societal impacts and often require specialized certifications and ongoing adaptation to new regulations. Technical skills in AI, data analysis, and critical thinking will remain valuable in these positions.

What types of government projects do machine learning professionals typically work on?

Machine learning professionals in the government sector often work on projects related to public service optimization, fraud detection, public safety analytics, and predictive modeling for policy development. These roles may involve collaborating with cross-functional teams, including data analysts, policymakers, and IT specialists, to turn large datasets into actionable insights. Daily tasks might include cleaning and analyzing data, building predictive models, and presenting results to stakeholders with varying technical backgrounds. The work environment is usually mission-driven, with an emphasis on transparency, compliance, and impact. Over time, professionals in this field can advance into leadership or specialized research roles, contributing to innovative solutions that benefit the public.

Can you use AI in government jobs?

Machine Learning Government roles often involve applying AI technologies to improve public services, data analysis, and decision-making processes. These jobs typically require knowledge of AI tools, programming skills, and understanding of government regulations related to data privacy and security.

What is a Machine Learning Government job?

A Machine Learning Government job involves applying artificial intelligence and data science techniques to solve problems in public sector domains like healthcare, cybersecurity, law enforcement, and policy analysis. Professionals in this field work with large datasets, develop predictive models, and enhance decision-making processes for government agencies. They may also focus on ethical AI deployment, regulatory compliance, and ensuring transparency in machine learning applications. These roles often require expertise in programming, statistics, and domain-specific knowledge related to government operations.

What are popular job titles related to Machine Learning Government jobs in Maryland? For Machine Learning Government jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Machine Learning Government jobs in Maryland look for? The top searched job categories for Machine Learning Government jobs in Maryland are:
Machine Learning Government jobs near you
Infographic showing various Machine Learning Government job openings in Maryland as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $46,070 per year, or $22.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

Maverc Technologies

Columbia, MD

Full-time

Posted 7 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