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Machine Learning Engineer Hybrid Jobs in Baltimore, MD

Razor Talent

Machine Learning Engineer

Columbia, MD · On-site

$2K/mo

Machine Learning Engineer Our clients, a rapidly growing AI-focused software development company ... Work Location • McLean, VA or Columbia, MD • Hybrid environment with flexibility for remote ...

Cymertek

Machine Learning Engineer

Annapolis, MD · On-site

Machine Learning Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and ...

Indeed

Machine Learning Engineer

Annapolis, MD · On-site

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Xometry

Senior Machine Learning Engineer

Silver Spring, MD · Hybrid

$108K - $148.30K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... EAP, other wellbeing resources; and much more. #LI-Hybrid Xometry is an equal opportunity employer.

Indeed

Staff Machine Learning Engineer

Annapolis, MD · On-site

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III you will be a team lead on the Marketplace Efficiency - Job Reach team. Your team will be responsible for maintaining ...

Indeed

Machine Learning Engineer III

Annapolis, MD · On-site

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

Dragos, Inc.

Staff Machine Learning Engineer

Hanover, MD · Remote

$225K/yr

We'reseeking an experienced Staff Machine Learning Engineer to join our Engineering team. In this role,you'lldrive the design and implementation of production machine learning systems within the ...

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All JobsMachine Learning Engineer Hybrid JobsMachine Learning Engineer Hybrid Jobs in Baltimore, MD

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 May 28, 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:
Machine Learning Engineer Hybrid jobs near you

Machine Learning Engineer

Fullscope

Fort George G Meade, MD • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Machine Learning Engineer
Location: Fort Meade, MD
Required Clearance: TS/SCI w/ Full-Scope Poly
Salary: Competitive
We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data science, and software engineering. You will work closely with data scientists, engineers, and product managers to design, develop, and deploy machine learning models and solutions that drive business value.
Key Responsibilities:
  • Design, develop, and implement machine learning models and algorithms to solve real-world problems.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Conduct data analysis and preprocessing to ensure high-quality data for model training.
  • Optimize and fine-tune models for performance, accuracy, and scalability.
  • Deploy machine learning models into production and monitor their performance.
  • Develop and maintain machine learning pipelines and infrastructure.
  • Stay current with the latest research and advancements in machine learning and AI.
  • Participate in code reviews, team meetings, and contribute to a collaborative development environment.
  • Document processes, models, and findings comprehensively.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. is a plus.
  • Proven experience as a Machine Learning Engineer or in a similar role.
  • Strong proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Solid understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning.
  • Experience with data processing tools like Pandas, NumPy, and data visualization tools such as Matplotlib or Seaborn.
  • Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.
  • Strong problem-solving skills and the ability to think critically and analytically.
  • Excellent communication and teamwork skills.
Preferred Qualifications:
  • Experience with natural language processing (NLP) and computer vision.
  • Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
  • Knowledge of software development best practices and version control systems like Git.
  • Experience with containerization tools like Docker and orchestration tools like Kubernetes.
  • Previous experience in a fast-paced, startup environment.

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