Top 1570 ai/ml engineer Jobs in falls church va

Applied Geospatial ML Engineer
Vantor —Herndon, VA
- $185,000 - $228,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
- 401(k) matching
- Pet insurance
Hybrid Cloud Platform Engineer
General Dynamics Information Technology —Springfield, VA
- $124,950 - $169,050 a year
- 5 years
- AWS
- Senior level
- Paid time off
- 401(k) matching
Agentic AI Solution Engineer
CORAS.AI —McLean, VA
- $80,000 - $90,000 a year
- Full-time
- Hybrid work
- System design
- Continuous improvement
- JavaScript
- Health insurance
- Dental insurance
Quick Apply
AI Engineer Consultant
Deloitte —McLean, VA
- $93,000 - $171,300 a year
- Full-time
- Azure
- Oracle
- Computer Science
Forward Deployed Engineer- Agentic AI
Deloitte —McLean, VA
- Full-time
- Azure
- Computer Science
- Up to 50% travel
12d
AI/ML Engineer
Vantor —McLean, VA
- $113,000 - $188,000 a year
- Full-time
- 6 years
- Doctoral degree
- Computer Science
- 401(k) matching
- Pet insurance
8d
AI / ML Engineer
Accenture Federal Services —Chantilly, VA
- $120,500 - $221,800 a year
- Mid-level
- SQL
- Bachelor's degree
4d
ML Engineer
Innovien Solutions —Falls Church, VA
- Background check
- Azure
- Mid-level
6d
Agentic AI Engineer
General Dynamics Information Technology —Falls Church, VA
- $195,500 - $264,500 a year
- Hybrid work
- Azure
- Computer Science
- Office
- Paid time off
- 401(k) matching
AI Engineer – Entry Level
Centennial Technologies —Tysons Corner, VA
- Full-time
- Hybrid work
- Azure
- Computer Science
- HIPAA
- Paid training
- Paid holidays
AI Engineer - ICAM
General Dynamics Information Technology —Falls Church, VA
- $153,000 - $207,000 a year
- Remote
- Azure
- Research
- AWS
- Paid time off
- 401(k) matching
2d
Software Developer
General Dynamics Information Technology —Falls Church, VA
- $93,662 - $116,634 a year
- Full-time
- Remote
- Computer Science
- Research
- Mid-level
Data Engineer
Pantheon Data —Falls Church, VA
- $115,000 - $130,000 a year
- Full-time
- Computer science
- Microsoft Excel
- Azure
- Tuition reimbursement
Quick Apply
Artificial Intelligence (AI) Engineer
TechSur Solutions —Reston, VA
- Full-time
- Hybrid work
- Computer Science
- Research
- Mid-level
Quick Apply
Machine Learning Engineer
Steampunk —McLean, VA
- $115,000 - $150,000 a year
- Remote
- Azure
- Computer Science
- Customer service
AI/ML Engineer
Booz Allen —McLean, VA
- $55,200 - $126,000 a year
- Full-time
- Computer science
- Doctoral degree
- Computer Science
- Health insurance
- Flexible spending account
Data Scientist
Agile Defense —Falls Church, VA
- Azure
- Mid-level
- Office
Quick Apply
Data Scientist (Generative AI)
Steampunk —McLean, VA
- $125,000 - $160,000 a year
- Azure
- Computer Science
- Customer service
Agentic AI Engineer
Booz Allen —McLean, VA
- $112,800 - $257,000 a year
- Full-time
- Azure
- Computer Science
- Office
- Health insurance
- Flexible spending account
7d
Artificial Intelligence/Machine Learning (AI/ML) Engineer
Obviant —Arlington, VA
- $140,000 - $200,000 a year
- Weekends as needed
- Hybrid work
- 5 years
- Office
- Analysis skills
- Dental insurance
- Work from home

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ai/ml engineer jobs near falls church va

Applied Geospatial ML Engineer

Vantor -
Herndon, VA

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Job Details

Full-time
$185,000 - $228,000 a year

Benefits

401(k) matching
Loan assistance
Pet insurance

Qualifications

AI models
Version control
Content creation for technical audiences
Predictive modeling analysis
Technical documentation
Testing and evaluation
Presentations for conferences or internal meetings
Amazon SageMaker
AI platforms (beyond public GPTs)
Machine learning cloud services
Machine intelligence
Remote sensing mapping analysis
Bachelor's degree
Model deployment
Continuous integration
Satellite imagery analysis
Participating in conferences
Software testing
Satellite data analysis
Linux
Cloud solution engineering
Machine learning libraries
Technical writing within technology
Remote sensing observations
Machine learning frameworks

Full Job Description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level.

Do you have a head for numbers and enjoy being an integral part of solving mission-critical, real-world problems? Do you like working with geospatial intelligence (GEOINT) data? If so, you’ll love working with us! Our solutions require innovative approaches that integrate bespoke capabilities and tools to solve our customers most complex challenges. We’re seeking an experienced AI/ML engineer to work across the full analytical workflow—from data acquisition and model development to pipeline evaluation, application prototyping, and hardware-based solution implementation.

Responsibilities:

Contribute to multi-discipline AI/ML engineering teams using multi-INT data (with emphasis on GEOINT) to design, implement, and evaluate machine learning solutions
Engineer and transform diverse data types to support all phases of the AI/ML workflow
Architect, develop, and integrate novel AI/ML models (e.g., semantic activity detection, geospatial analytics, signal processing, and computer vision)
Design, implement, and assess various geospatial AI/ML solutions across hardware and software stacks
Stay current on AI/ML advances from industry and academia, applying them to government mission challenges
Provide subject matter expertise, mentoring, and strategic advice to government and internal teams on AI/ML trends, approaches, and delivery strategies
Communicate progress, results, risks, and challenges to government clients, partners, and project leadership
Support program execution by integrating diverse data science skillsets, managing sprint projections, assessing risks, and occasionally traveling for meetings and demonstrations

Minimum Qualifications:

Must be a U.S. citizen with an active TS/SCI and the ability to obtain a CI polygraph.
B.S. in Data Science, Engineering, Math, Physics, Computer Science, or related field
5+ years designing, developing, testing, and deploying AI/ML models across diverse data types
Minimum 2 years of experience with low-shot learning, robust ML, spatial trajectory analytics, and cloud-based platforms (e.g., AWS, Azure) and AI/ML services (e.g., SageMaker, Watson Studio)
Experience working with remote sensing and geospatial datasets, including EO/SAR imagery, sensor-based data streams and familiarity with government collection platforms.
Experience with modern development practices, including version control, and CI/CD
Strong communication skills demonstrated through technical writing and speaking engagements (e.g., briefings, conference presentations), with excellent organizational skills and attention to detail
Competence with Linux environments

Preferred Qualifications:

Advanced degree (M.S. or Ph.D.) in Data Science, Engineering, Math, Physics, Computer Science, or a related field
Proficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent
Experience with a designing and implementing a wide variety of geospatial trajectory processing, analysis (e.g., forecasting), and visualization approaches
Ability to design and implement compute hardware and infrastructure solutions to support both client and backend AI/ML applications

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:

$185,000.00 - $228,000.00

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

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ai/ml engineer jobs in falls church va

Applied Geospatial ML Engineer

Hybrid Cloud Platform Engineer

Agentic AI Solution Engineer

AI Engineer Consultant

Forward Deployed Engineer- Agentic AI

AI/ML Engineer

AI / ML Engineer

ML Engineer

Agentic AI Engineer

AI Engineer – Entry Level

AI Engineer - ICAM

Software Developer

Data Engineer

Artificial Intelligence (AI) Engineer

Machine Learning Engineer

AI/ML Engineer

Data Scientist

Data Scientist (Generative AI)

Agentic AI Engineer

Artificial Intelligence/Machine Learning (AI/ML) Engineer

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