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Machine Learning Software Engineer Jobs in Washington, DC

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems at scale. You'll implement computer vision machine learning applications ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site

Collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists. * Develop machine learning models and pipelines that are integral ...

Ametek

Machine Learning Engineer

Herndon, VA · Hybrid

Strong understanding of data structures, algorithms, software engineering fundamentals, and distributed systems concepts. * Bachelor's degree in Computer Science, Machine Learning, Artificial ...

Geico

Machine Learning Engineer II

Bethesda, MD

Staff Machine Learning Engineer Overview: As a Staff Machine Learning Engineer, you will be the ... Develop and implement Software Development Lifecycle (SDLC) best practices for machine learning ...

New

Cymertek

Machine Learning Engineer

Chantilly, VA

Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

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Machine Learning Software Engineer information

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$71.9K

$167.1K

$232.8K

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

As of May 29, 2026, the average yearly pay for machine learning software engineer in Washington, DC is $167,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $196,000.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.
More about Machine Learning Software Engineer jobs
What are popular job titles related to Machine Learning Software Engineer jobs in Washington, DC? For Machine Learning Software Engineer jobs in Washington, DC, the most frequently searched job titles are:
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Machine Learning Software Engineer jobs near you
Infographic showing various Machine Learning Software Engineer job openings in Washington, DC as of May 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $167,099 per year, or $80.3 per hour.
Senior Software Engineer -Machine Learning and Data Science

Senior Software Engineer -Machine Learning and Data Science

CACI International, Inc.

Laurel, MD • On-site

$131.80K - $290K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday

Job description

Job Title: Senior Software Engineer -Machine Learning and Data Science
Job Category: Engineering
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI with Polygraph
Employee Type: Regular
Percentage of Travel Required: None
Type of Travel: None
* * *
The Opportunity:
Join our innovative team as a Senior Software Engineer specializing in Machine Learning and Data Science. You'll have the chance to work on cutting-edge projects, developing and enhancing complex software systems that make a real impact. This role offers an exciting blend of individual contribution and collaborative teamwork, allowing you to leverage your expertise in Python, Docker, and machine learning to drive technological advancements in computer network defense and security management. This position offers an excellent opportunity for a seasoned professional to apply their skills in a dynamic, high-impact environment. If you're passionate about leveraging cutting-edge technologies to solve complex problems in cybersecurity, we want to hear from you!
Responsibilities:
  • Design and implement scalable data pipelines, improving efficiency and code correctness
  • Develop and enhance ML analytics using Python libraries such as PyTorch, NumPy, Pandas, and Scikit-learn
  • Train, test, and curate machine learning models using industry-standard tools and practices
  • Implement GitOps for continuous integration and deployment of models using Docker
  • Utilize AWS services (EC2, S3, RDS) for application building and deployment
  • Integrate model outputs with Computer Network Defense (CND) systems to enhance security capabilities
  • Contribute to software design, considering hardware/software tradeoffs and potential use of COTS/GOTS solutions
  • Provide comprehensive documentation and reporting on completed tasks

Qualifications:
Required:
  • Active TS/SCI w/ Polygraph
  • 14+ years of experience as a Software Engineer in similar programs and contracts
  • Bachelor's degree in Computer Science or related field (or equivalent experience)
  • Extensive experience with Python programming
  • Proficiency in Docker and/or Kubernetes

Desired:
  • Experience with AWS machine learning services
  • Strong background in data science and machine learning techniques
  • Familiarity with computer network defense and security management systems
  • Experience with GitOps and CI/CD pipelines

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$131,800 - $290,000
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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