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Machine Learning Software Engineer Jobs in Virginia

You will build software with AI/ML at its core, ranging from classical statistical methods to ... software engineering and/or machine learning research experience (or equivalent experience ...

You will build software with AI/ML at its core, ranging from classical statistical methods to ... software engineering and/or machine learning research experience (or equivalent experience ...

You will build software with AI/ML at its core, ranging from classical statistical methods to ... software engineering and/or machine learning research experience (or equivalent experience ...

You will build software with AI/ML at its core, ranging from classical statistical methods to ... software engineering and/or machine learning research experience (or equivalent experience ...

Machine Learning Engineer

Arlington, VA

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 2+ years of experience with artificial intelligence, data science, software engineering, or machine learning engineering, including developing and deploying models * Experience with ...

Showing results 21-40

Machine Learning Software Engineer information

See Virginia salary details

$63K

$146.3K

$203.7K

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

As of Aug 18, 2026, the average yearly pay for machine learning software engineer in Virginia is $146,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $171,500.00 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 as a machine learning software engineer?

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.

Is machine learning software engineer a high paying job?

Machine learning software engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming languages like Python and experience with frameworks like TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

What job categories do people searching Machine Learning Software Engineer jobs in Virginia look for?

The top searched job categories for Machine Learning Software Engineer jobs in Virginia are:

What cities in Virginia are hiring for Machine Learning Software Engineer jobs?

Cities in Virginia with the most Machine Learning Software Engineer job openings:

What are popular job titles related to Machine Learning Software Engineer jobs in VA?

For Machine Learning Software Engineer jobs in VA, the most frequently searched job titles are:

Infographic showing various Machine Learning Software Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $146,258 per year, or $70.3 per hour.

Machine Learning Engineer

CACI International, Inc.

Chantilly, VA • On-site

$131K - $290K/yr

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago


Job description

Job Title: Machine Learning Engineer
Job Category: Information Technology
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:
CACI is seeking a Software Developer with AI experience to join our dynamic team. This role will focus on developing and implementing AI solutions to enhance our enterprise-level IT operations. The Developer will work closely with cross-functional teams to design, develop, and deploy AI-driven applications that improve efficiency, automate processes, and provide valuable insights.
Responsibilities:
Develop and maintain machine learning pipelines and applications using Python and modern ML frameworks
• Implement and optimize algorithms for large language model (LLM) integration and deployment
• Build RESTful APIs and microservices to serve ML models in production environments
• Write clean, maintainable, and well-documented code following object-oriented programming principles
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions
• Work with databases (SQL,NoSQL and Vector) to manage training data, model artifacts, and application state
• Containerize ML applications using Docker for consistent deployment across environments
• Utilize Git for version control and participate in code reviews to maintain code quality
• Conduct testing and debugging of ML applications to ensure reliability and accuracy
• Support the deployment and monitoring of AI/ML models in cloud environments
• Stay current with emerging trends in machine learning, LLMs, and AI engineering best practices
Qualifications:
Required:
• Active TS/SCI clearance with Poly
• Bachelor's degree in computer science, Software Engineering, Data Science, or related technical field with 5 years of professional experience in software development or machine learning engineering
• Strong proficiency in Python programming with solid understanding of object-oriented programming (OOP) concepts, design patterns, data structures, and algorithms
• Experience with development tools and practices including Git version control, Docker containerization, and database management (SQL and/or NoSQL)
• Knowledge of LLM technologies including exposure to Large Language Models, orchestration frameworks (LangChain, LangGraph),
• Understanding of RAG architectures and vector databases (ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems
• Strong problem-solving abilities, attention to detail, excellent communication skills, and eagerness to learn in a collaborative team environment
Desired:
• Master's degree in computer science or related field
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and knowledge of MLOps practices for ML model deployment and monitoring
• Experience with container orchestration and DevOps including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible
• Familiarity with enterprise platforms such as ServiceNow, SAP, Tableau, or Splunk
• Contributions to open-source ML projects and familiarity with Agile development methodologies
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.