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

Parsons

AI/ML Software Engineer

Aberdeen, MD · On-site

$103K - $181K/yr

B.S. in Computer Science or Engineering and 5+ years of post-degree machine learning experience, or M.S. in Computer Science or Engineering and 2+ years of experience, or Ph.D. in relevant field

Parsons Corporation

AI/ML Software Engineer

Aberdeen, MD · On-site

$103K - $181K/yr

B.S. in Computer Science or Engineering and 5+ years of post-degree machine learning experience, or M.S. in Computer Science or Engineering and 2+ years of experience, or Ph.D. in relevant field

Deloitte

Forward Deployed Engineer- AWS

Baltimore, MD · On-site

... 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 ...

Pwc

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 ...

Sand Tech Holdings Limited

Data Engineer

Baltimore, MD · On-site

$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 ...

jobr.pro

Data Engineer

Baltimore, MD · On-site

$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 ...

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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 Sep 13, 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 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 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 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.

More about Machine Learning Engineer jobs

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:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Aberdeen, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $138,471 per year, or $66.6 per hour.

AI/ML Software Engineer

Aberdeen, MD • On-site

Parsons
Civil Engineering Construction • 10K+ employees
Learn more about Parsonsexternal

$103K - $181K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Parsons rating

7.7

Company rating: 7.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.

Job Description:

Parsons is searching for a professional to support development, integration, testing, and ongoing execution of in-house machine learning research on multi-agent reinforcement learning.

What You'll Be Doing:

  • This work will include conducting experiments on the effectiveness, efficiency, and scalability of deployed machine learning (ML) solutions.
  • Formulating and testing hypotheses via implementing compute-efficient AI/ML training methods, applying statistics, and performing data analysis

What Required Skills You'll Bring:

  • Required: B.S. in Computer Science or Engineering and 5+ years of post-degree machine learning experience, or M.S. in Computer Science or Engineering and 2+ years of experience, or Ph.D. in relevant field
  • High proficiency in Python with a strong background in writing modular, testable, and maintainable codebases
  • Framework fluency with data science tools and libraries (NumPy, Pandas, etc) and at least one deep learning framework (PyTorch or TensorFlow)
  • Familiarity with virtual environment tools such as Conda/uv/Poetry, or Docker containerization
  • Experience with Git and software development best practices, and working within Linux systems
  • The ability to work both individually and in a multi-team development project
  • Communicate methods and findings through publication manuscripts
  • U.S. Citizenship is required
  • Must be able to obtain and maintain a security clearance

Preferred Skills:

  • Experience with reinforcement learning or multi-agent systems
  • Experience running experiments on HPC or cloud systems, and tracking results for later analysis between machines (Trackio / Weights & Biases / Tensorboard with neat file management)

Security Clearance Requirement:

NoneThis position is part of our Federal Solutions team.The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.Salary Range: $103,500.00 - $181,100.00We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer tohttps://www.parsons.com/fraudulent-recruitment/.

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