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

DPR Construction

MLOps Engineer

Baltimore, MD

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 ...

Techximius

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 ...

Deloitte

AI Data Engineer - Manager

Baltimore, MD · On-site

$113K - $136K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

Deloitte

AI and Data Science Engineer III

Baltimore, MD · On-site +1

$113K - $136K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Pwc

CTIO AI Engineering Manager

Baltimore, MD

$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 ...

SynergisticIT

Junior Software Engineer

Towson, MD

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full-time positions ...

Pwc

NGA AI Engineer Manager

Baltimore, MD

$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 ...

Pwc

NGA AI Engineer Senior Manager

Baltimore, MD

$91K - $321K/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 ...

T. Rowe Price Associates, Inc.

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 ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Aberdeen, MD

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 Jun 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 are Machine Learning Engineers?

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 jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
More about Machine Learning Engineer jobs
What cities near Aberdeen, MD are hiring for Machine Learning Engineer jobs? Cities near Aberdeen, MD with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Sr. Radiomics and AI Engineer (Radiology)

Sr. Radiomics and AI Engineer (Radiology)

Johns Hopkins University

Baltimore, MD • On-site

$101K - $177K/yr

Full-time

Posted 24 days ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 200 frontline employees who took The Breakroom Quiz

223rd of 870 rated healthcare providers

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

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