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Machine Learning Engineer Jobs in Aberdeen, MD (NOW HIRING)

AI Solutions Engineering Delivery Lead

Baltimore, MD · On-site

$101K - $134K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

AI Software Engineer - Java

Aberdeen, MD · On-site

$130K - $160K/yr

Collaborate with data engineers, AI/ML engineers, and system architects to integrate machine learning models into operational Java applications. * Support software interfaces with AI/ML frameworks ...

Lead Forward Deployed Engineer - AWS

Baltimore, MD · On-site

$101K - $134K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Senior Forward Deployed Engineer- AWS

Baltimore, MD · On-site

$103K - $142K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

NGA AI Engineer Manager

Baltimore, MD · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Data Engineer

Baltimore, MD

$113K - $136K/yr

Our Data Engineer is responsible for designing, building, and maintaining scalable data ... Experience enabling machine learning and advanced analytics through robust data infrastructure and ...

AI Data Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of ... Build and operationalize machine learning models, facilitating their integration into business ...

Lead AI and Data Science Engineer II

Baltimore, MD · On-site

$101K - $134K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Showing results 21-40

Machine Learning Engineer information

See Aberdeen, MD salary details

$33.9K

$138.5K

$208.1K

How much do machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning engineer in Aberdeen, MD is $138,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,100.00 and $166,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Aberdeen, MD? The most popular types of Machine Learning Engineer jobs in Aberdeen, MD are:
What are popular job titles related to Machine Learning Engineer jobs in Aberdeen, MD? For Machine Learning Engineer jobs in Aberdeen, MD, the most frequently searched job titles are:
What cities near Aberdeen, MD are hiring for Machine Learning Engineer jobs? Cities near Aberdeen, MD with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Aberdeen, MD as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $138,471 per year, or $66.6 per hour.

Sr. Radiomics and AI Engineer (Radiology)

Johns Hopkins University

Baltimore, MD • On-site

$101K - $177K/yr

Full-time

Re-posted 25 days ago


Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

186th of 617 rated colleges and universities


Job description

We are seeking a Sr. Radiomics and AI Engineer who will be responsible for developing and implementing algorithms and software that can analyze medical images and extract clinically relevant features using machine learning and deep learning techniques for the Department of Radiology-Diagnostic Imaging Division.
Specific Duties & Responsibilities
  • Develop and implement machine learning and deep learning algorithms to analyze medical images.
  • Collaborate with radiologists, oncologists, and other healthcare professionals to identify clinically relevant features that can be extracted from medical images.
  • Design and implement data preprocessing pipelines to ensure high-quality input data for the algorithms.
  • Develop and maintain software tools for data analysis, visualization, and reporting.
  • Test and validate the algorithms and software using clinical data sets and real-world scenarios.
  • Continuously monitor and improve the performance of the algorithms and software.
  • Stay up to date with the latest research and developments in radiomics, medical imaging, and artificial intelligence.
  • Maintain the cluster, computational, and storage resources in the Felix lab, which are used for training and deploying AI models.

Minimum Qualifications
  • Master's in Computer Science, Biomedical Engineering, or a related field.
  • Two years of experience with machine learning, deep learning, and data analysis.
  • Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications
  • Proficiency in programming languages such as Python, C++, and MATLAB.
  • Familiarity with software development best practices, including version control, testing, and documentation.
  • Experience in healthcare or medical research.
  • Experience working in a multidisciplinary team environment.

Classified Title: Sr. Radiomics & AI Research Engineer
Job Posting Title (Working Title): Sr. Radiomics and AI Engineer (Radiology)
Role/Level/Range: ACRP/04/MH
Starting Salary Range: $101,500 - $177,800 Annually ($127,500 targeted; Commensurate w/exp.)
Employee group: Full Time
Schedule: M-F 8:30-5
FLSA Status: Exempt
Location: School of Medicine Campus
Department name: SOM Rad Diagnostic Imaging
Personnel area: School of Medicine

What Johns Hopkins University employees say

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About Johns Hopkins University

Sourced by ZipRecruiter

Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876