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Machine Learning Engineer Hybrid Jobs in Baltimore, MD

... hybrid,multi-cloudenvironment(e.g.,VMware, AWS & Azure),Cyber Threat Intelligence, DevOps ... Experience with machine learning libraries and frameworks such as TensorFlow,PyTorch, scikit-learn ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Machine Learning Engineer Hybrid information

See Baltimore, MD salary details

$31.3K

$128K

$192.3K

How much do machine learning engineer hybrid jobs pay per year?

As of Jul 29, 2026, the average yearly pay for machine learning engineer hybrid in Baltimore, MD is $127,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $154,000.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer Hybrid vs Data Scientist?

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

What are popular job titles related to Machine Learning Engineer Hybrid jobs in Baltimore, MD? For Machine Learning Engineer Hybrid jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Hybrid jobs in Baltimore, MD look for? The top searched job categories for Machine Learning Engineer Hybrid jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Machine Learning Engineer Hybrid jobs? Cities near Baltimore, MD with the most Machine Learning Engineer Hybrid job openings:
Infographic showing various Machine Learning Engineer Hybrid job openings in Baltimore, MD as of July 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $127,950 per year, or $61.5 per hour.