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Machine Learning Jobs in Maryland (NOW HIRING)

Senior Machine Learning Engineer

California, MD · On-site +1

$100K - $137K/yr

Job Requisition ID # 25WD94218 The Growth Experience Technology Machine Learning Team (GET-ML) @Autodesk The GET-ML Team is responsible for delivering Machine Learning Features that transform the ...

Senior Machine Learning Engineer

North Bethesda, MD · Hybrid

$104K - $143K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You'll be working in an ...

Senior Machine Learning Engineer North Bethesda, MD Xometry powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life.

Senior Machine Learning Engineer

Silver Spring, MD · Hybrid

$108K - $148K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You'll be working in an ...

Senior Machine Learning Engineer

North Bethesda, MD · On-site

$104K - $143K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You'll be working in an ...

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Machine Learning information

See Maryland salary details

$24.7K

$41.3K

$85.4K

How much do machine learning jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning in Maryland is $41,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

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 deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

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

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
What are the most commonly searched types of Machine Learning jobs in Maryland? The most popular types of Machine Learning jobs in Maryland are:
What cities in Maryland are hiring for Machine Learning jobs? Cities in Maryland with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Maryland as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $41,329 per year, or $19.9 per hour.
Machine Learning Engineer

$220K - $230K/yr

Other

Medical, Retirement, PTO

Posted 7 days ago


Job description

**Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance. ---------- Telework: None Basic Requirements: 14 years of experience as a software engineer Bachelor's degree in a technical discipline 4 additional years of experience as a software engineer may be substituted for a degree Job Description: Implement data pipelines at scale, including both the synthesizing of new pipelines and the refactoring of existing pipelines to improve efficiency and code correctness. Monitor and improve existing data science tools in support of transition from development to production systems.

Design, implement, and enhance ML analytics using a wide variety of Python libraries including, but limited to, PyTorch, NumPy, Pandas, and Scikit-learn. Train, test, track and curate models using standard tools and practices. Integrate GitOps for continuous integration and deployment of models using Docker scaling.

Use AWS services such as EC2, S3, and RDS for building and deploying applications. Integrate model and tool outputs within Computer Network Defense (CND) systems and/or software tools to enhance, implement, and maintain the Security Management/Monitoring services and capabilities within the Agency IT Enterprise. Document all processes and code; provide comprehensive reports on the completed tasks.

Required Experience: Python Docker and/or Kubernetes Desired Experience: AWS Machine learning Salary: $220,000 - $230,000 annually ---------- Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents - available day 1, 8% 401(k) employer match - immediate vesting. Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role.

Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure. Shield Consulting Solutions is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

This is a full time position