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Machine Learning Software Engineer Jobs in Washington, DC

Design and implement Machine Learning algorithms and models into software solutions for our ... A blend of data engineering, machine learning, and product innovation skills that let you jump into ...

Join to apply for the Junior Machine Learning Engineer role at Jobright.ai Join to apply for the ... software architectures with containerization tools, including Docker and Kubernetes • Experience ...

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

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

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

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

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

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

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

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

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

As of Jun 18, 2026, the average yearly pay for machine learning software engineer in Washington, DC is $166,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,400.00 and $195,200.00 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.

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:
What job categories do people searching Machine Learning Software Engineer jobs in Washington, DC look for? The top searched job categories for Machine Learning Software Engineer jobs in Washington, DC are:
Senior Software Engineer - Machine Learning & Cloud Technologies

Senior Software Engineer - Machine Learning & Cloud Technologies

CACI International, Inc.

Linthicum, MD • On-site

$131K - $290K/yr

Full-time

Medical, Retirement, PTO

Posted 17 days ago


Job description

Job Title: Senior Software Engineer - Machine Learning & Cloud Technologies
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 dynamic team as a Software Engineer where you will play a pivotal role in developing, maintaining, and enhancing complex and diverse software systems. Whether working independently or as part of a collaborative team, you will contribute to innovative solutions that drive our mission forward. If you are passionate about software development, machine learning, and cloud technologies than this is an ideal role for you!
Responsibilities
  • Data Pipelines: Implement and refactor data pipelines at scale to improve efficiency and code correctness.
  • Tool Enhancement: Monitor and enhance existing data science tools to facilitate the transition from development to production systems.
  • ML Analytics: Design, implement, and enhance machine learning analytics using Python libraries such as PyTorch, NumPy, Pandas, and Scikit-learn.
  • Model Management: Train, test, track, and curate models using industry-standard tools and practices.
  • CI/CD: Integrate GitOps for continuous integration and deployment of models using Docker and Kubernetes.
  • Cloud Services: Utilize AWS services such as EC2, S3, and RDS for building and deploying applications.
  • System Integration: Integrate model and tool outputs within Computer Network Defense (CND) systems to enhance Security Management/Monitoring services.
  • Documentation: Document all processes and code, and provide comprehensive reports on completed tasks.
  • This position sits 50% of the time at our Laurel and 50% at our Linthicum Heights, MD locations.

Qualifications
Required:
  • Active TS/SCI w/ Polygraph
  • Experience with Python
  • Experience with Docker and/or Kubernetes
  • 14 years' experience as a Software Engineer in programs and contracts of similar scope, type, and complexity, or a Bachelor's degree in Computer Science or a related discipline plus 4 years of additional SWE experience.
  • Bachelor's degree in Computer Science or a related discipline from an accredited college or university is required. Alternatively, 4 years of additional Software Engineering experience on projects with similar software processes may substitute for a bachelor's degree.

Desired:
  • Experience with AWS
  • Experience with Machine Learning

This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.
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.