Machine Learning Engineer Salary Baltimore 2026

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Machine Learning Engineer Salary Baltimore 2026

Quick Answer

You’re researching machine learning engineer salaries in Baltimore — a competitive tech role in a growing tech hub. Baltimore’s tech sector, anchored by Johns Hopkins University and a growing startup ecosystem, attracts talent across cybersecurity, healthcare IT, and artificial intelligence roles.

Unfortunately, the current data snapshot (fetched April 13, 2026) does not include the specific wage statistics, percentile breakdowns, cost-of-living data, or employer salary information needed to provide the comprehensive salary breakdown this role deserves.

What Data Is Missing

To create a complete salary guide for machine learning engineers in Baltimore, we would typically need:

  • BLS OEWS Data: Mean and median wages, 10th/25th/50th/75th/90th percentile salaries for SOC code 15-2091 (Mathematical Science Occupations) or related computer occupations
  • Cost of Living Context: Median rent in Baltimore, housing costs, and cost-of-living index to adjust nominal salaries for purchasing power
  • H-1B Employer Data: Top employers sponsoring machine learning engineer positions in the Baltimore area, with average offered salaries
  • Historical Trends: Year-over-year salary growth for this role in Baltimore
  • Job Outlook: Projected growth rates and annual job openings from BLS Employment Projections program

Nearby Cities in the Baltimore Metro

The Baltimore metropolitan statistical area includes several notable employment centers:

  • Columbia — growing tech corridor with corporate headquarters
  • Towson — Towson University and nearby office parks
  • Annapolis — Maryland state capital with government IT opportunities
  • Ellicott City — suburban employment hub

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How to Find Current Salary Data

For the most accurate, up-to-date information, consult these official sources:

  1. Bureau of Labor Statistics (BLS) OEWS — Visit bls.gov and search occupational wage data by state and metropolitan area. Machine learning and AI roles may fall under computer and mathematical occupations (SOC 15-1200 series).

  2. Department of Labor H-1B Disclosure Data — Review employer-sponsored visa applications at lca.doleta.gov. These filings include offered salaries and are publicly searchable by employer and location.

  3. Glassdoor, Levels.fyi, PayScale — Crowdsourced salary data from current and former employees in Baltimore tech roles.

  4. LinkedIn Salary Tool — Filter by job title, location, and experience level for peer-reported compensation.

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Why Baltimore for Machine Learning Engineers?

Baltimore offers several advantages for ML engineers:

  • Research institutions: Johns Hopkins University and its applied physics laboratory drive AI/ML innovation
  • Healthcare IT: Strong demand for machine learning in medical imaging, drug discovery, and health analytics
  • Government contracts: Federal cybersecurity and defense agencies support well-paying ML roles
  • Cost of living: Generally lower than Silicon Valley, Seattle, or New York — allowing for better purchasing power
  • Talent density: Growing tech community with networking opportunities

Career Path Considerations

Machine learning engineers typically progress through these roles:

  • Entry-level (0–2 years): ML Engineer, Data Science Analyst
  • Mid-level (2–5 years): Senior ML Engineer, ML Platform Engineer
  • Senior (5+ years): Staff ML Engineer, ML Architect, Engineering Manager

Salary progression correlates with specialization (computer vision, NLP, reinforcement learning), industry (fintech, healthcare, defense), and company stage (startup vs. enterprise).

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Frequently Asked Questions

What is the typical starting salary for a machine learning engineer in Baltimore?

Entry-level machine learning engineer positions in Baltimore typically offer less compensation than senior roles, but exact figures require current BLS or H-1B data. Entry-level candidates should expect salaries influenced by their education (bachelor’s or master’s in computer science, mathematics, or related fields), internship experience, and the hiring company’s size and funding stage.

How does Baltimore’s machine learning engineer salary compare to national averages?

Baltimore’s tech salary market is generally competitive but typically lower than Silicon Valley, Seattle, and New York. However, without current BLS data, we cannot provide the specific percentage difference. The cost of living in Baltimore is notably lower than these major tech hubs, which can offset a lower nominal salary in terms of purchasing power and quality of life.

What skills command the highest salaries for machine learning engineers in Baltimore?

Machine learning engineers with expertise in specialized domains command premium compensation. Healthcare ML (medical imaging, clinical NLP) is particularly valuable in Baltimore given Johns Hopkins’ prominence. Additionally, engineers with strong software engineering fundamentals, cloud platform expertise (AWS, Google Cloud, Azure), and experience with production ML systems typically earn more than those with purely research-focused backgrounds.

Is it worth relocating to Baltimore for a machine learning engineer role?

Whether relocation makes sense depends on several factors: the specific salary offer (compare to your current location’s cost of living), career growth opportunities at the employer, and your personal preferences. Baltimore offers lower housing costs than major coastal tech hubs, strong research institutions, and growing demand for ML talent in healthcare and defense sectors. However, the local market may offer fewer mega-tech company positions than Silicon Valley or Seattle.

What education do employers in Baltimore require for machine learning engineer roles?

Most machine learning engineer positions require at least a bachelor’s degree in computer science, mathematics, statistics, physics, or electrical engineering. Many employers prefer or require a master’s degree in machine learning, computer science, or a related field. Some roles, particularly at research institutions like Johns Hopkins, may require a PhD for senior positions.

How often do machine learning engineer salaries increase in Baltimore?

Salary growth for ML engineers typically occurs through promotions (every 2–3 years), role changes, or switching employers. Annual raises in tech roles generally range from 3–5%, though market conditions and company performance influence this. The strong demand for ML talent means job-hopping to new employers often yields larger salary increases (15–30%) than staying with one company.

Data Limitations & Disclaimer

This article was prepared with incomplete data as of April 13, 2026. Salary information for machine learning engineers in Baltimore requires:

  • Current BLS OEWS statistics with percentile wage data
  • H-1B LCA disclosures for employer-specific compensation
  • Census ACS data for cost-of-living context

Disclaimer: The salary information provided here is sourced from public databases and is informational only. Actual compensation varies significantly based on education, experience, skills, employer, company size, and negotiation. This content is not financial or career advice. Always verify current salary data with official sources (BLS.gov, DOL.gov) and consult with career professionals before making employment decisions.

To request an update with complete data for this search, please contact our research team or check back soon for an expanded guide.