ML Software Engineer Jobs in Virginia
ML Software Engineer jobs in Virginia are in high demand, with strong hiring concentrated in defense contracting, federal IT services, and commercial cloud infrastructure, drawing candidates from entry-level associate roles through principal and staff engineers. Northern Virginia anchors the market as one of the most active ml hiring corridors in the country, with Reston, McLean, and Arlington home to major employers including Leidos, Booz Allen Hamilton, and Amazon Web Services. The most sought-after specialties in Virginia listings are computer vision, natural language processing, and MLOps engineering. Find a role that fits below and apply directly.
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The Opportunity:
Spe cia lize in tools, techniques, systems, and procedures for developing, deploying, or analyzing wired or wireless transmission of signaling data using Artifi cia l Intelligence and Machine Learning ( AI / ML ) techniques. Apply specific functional knowledge, including working or general industry knowledge. Develop or contribute to solutions to a variety of problems of moderate scope and complexity. Work independently with some guidance, and review or guide activities of more junior employees.
You Have:
- 3+ years of experience with ML sof tware libraries such as TensorFlow, Keras, PyTorch, or Onnx
- 3+ years of experience in sof tware development using programming languages such as Python, C, or C++
- Experience implementing, maintaining, and supporting Agile sof tware development to modernize systems
- Experience with Agile met hodology, sof tware engineering, product management, and sof tware products
- Experience running performance testing and benchmarking of trained neural networks, and optimizing algorithm performance
- Experience creating solutions to complex problems within a collaborative, cross-functional team
- Ability to obtain a TS/SCI clearance with a polygraph
- Bachelor's degree in a STEM field
Nice If You Have:
- Experience with RF theory or digital signal processing algorithms
- Experience with different neural network architectures
- Experience acquiring client requirements and resolving workflow problems through automation optimization
- Ability to work with automated testing tools to perform testing and maintenance
- TS/SCI clearance with a polygraph
- Master's degree in a STEM field
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information .
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided .
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
See All 7 ML Software Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find ML Software Engineer JobsML Software Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
ML Software Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring



What Virginia Employers Look For
The qualifications that appear most often in ML software engineer jobs across Virginia.
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying models in production environments
- Familiarity with cloud platforms, particularly AWS, Azure, or Google Cloud
- Active or obtainable U.S. security clearance, required by many Virginia defense contractors
- Strong understanding of MLOps practices including model monitoring, versioning, and CI/CD pipelines
ML Software Engineer Jobs in Virginia: Frequently Asked Questions
How do you become a ml software engineer in Virginia?
There is no state-issued license required to work as an ml software engineer in Virginia. The standard path is a bachelor's degree in computer science, data science, or a related field, followed by hands-on experience with machine learning frameworks and cloud platforms. Virginia's large defense and federal IT sector means that obtaining a security clearance early, often through an employer-sponsored investigation, significantly broadens the roles available to you.
How much do ML software engineers make in Virginia?
ML software engineers in Virginia earn a median of about $136,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $83,350 for the lowest 10% to over $211,930 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ml software engineers in Virginia?
Employers hiring ml software engineers in Virginia right now include Staffed4U, TIAG, and Workday, based on current listings on Migrate Mate as of August 2026. Virginia's concentration of defense primes, federal agencies, and hyperscale cloud infrastructure operators means hiring tends to be consistent across both commercial and government-adjacent roles.
Which Virginia cities have the most ml software engineer jobs?
The Virginia cities with the most ml software engineer openings are Chantilly, Reston, and McLean. Northern Virginia dominates because it houses the headquarters or major campuses of leading defense contractors and is home to one of the world's largest data center clusters, which drives sustained demand from cloud and infrastructure teams operating out of Reston, McLean, and Arlington.
Are there remote ml software engineer jobs in Virginia?
Yes, and more than most fields. About 80% of ml software engineer openings tied to Virginia are remote or hybrid as of August 2026, reflecting how naturally this work adapts to distributed environments. Model development, experimentation, and data pipeline work are the portions most commonly done fully remote, while roles tied to classified government contracts typically require on-site presence.
How can I get hired as a ml software engineer in Virginia with little or no experience?
The most realistic entry path is through a junior or associate machine learning engineer role at a Virginia-based federal contractor or commercial tech firm. Booz Allen Hamilton and Leidos both run structured new-graduate programs and internship pipelines that convert into full-time positions. Building a portfolio of end-to-end projects on public datasets, earning a cloud certification from AWS or Google Cloud, and targeting roles titled 'associate data scientist' or 'junior ML engineer' are the credentials that move a resume past the screening stage.
Where can I find and apply to ml software engineer jobs in Virginia?
You can find and apply to ml software engineer jobs in Virginia on Migrate Mate, which lists current Virginia openings updated regularly. Find roles that match your experience and apply directly to the ones that fit.
See All 7 ML Software Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find ML Software Engineer Jobs