Top 1220 machine learning engineer Jobs in herndon, 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
Data Analyst - AI Trainer
DataAnnotation —Chantilly, VA
- $50 - $100 an hour
- Contract
- Remote
- English
- Mid-level
- Bachelor's degree
- Flexible schedule
Staff Software Engineer - AI Trainer
DataAnnotation —Chantilly, VA
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
Geophysical Data Analyst
Bright Star Solutions LLC —Washington, DC
- $120,000 - $140,000 a year
- Full-time
- Hybrid work
- Background check
- Computer Science
- Mid-level
- Disability insurance
- Health insurance
Quick Apply
AI and Data Science Engineer III
Deloitte —McLean, VA
- $113,100 - $208,300 a year
- Full-time
- Azure
- Oracle
- Doctoral degree
7d
Principal Technical Risk Analyst - AI Technical Lead
Navy Federal Credit Union —Vienna, VA
- $150,100 - $206,450 a year
- Online Application
- Computer science
- Azure
- Computer Science
8d
Databricks Data Engineer
Deloitte —McLean, VA
- $86,700 - $170,900 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
5d
Senior Cloud Cybersecurity Engineer
Leidos —Bethesda, MD
- $131,300 - $237,350 a year
- Full-time
- Computer science
- Computer Science
- Master's degree
- Paid holidays
- Paid time off
1d
Databricks Data Engineer
Deloitte —Arlington, VA
- $86,700 - $170,900 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
5d
Sr Databricks Data Engineer
Deloitte —McLean, VA
- $137,500 - $193,600 a year
- Full-time
- Azure
- Management
- Computer Science
12d
AI Engineer
CGI Group, Inc. —Washington, DC
- $79,600 - $172,400 a year
- Full-time
- Azure
- Computer Science
- Mid-level
- Paid parental leave
- Paid holidays
Sr Databricks Data Engineer
Deloitte —Arlington, VA
- $137,500 - $193,600 a year
- Full-time
- Azure
- Management
- Computer Science
12d
Senior Data Scientist
Leidos —Chantilly, VA
- $154,050 - $278,475 a year
- Full-time
- Computer Science
- 11+ years
- Bachelor's degree
AI Sr. Developer (Secret Clearance Required)
Deloitte —Arlington, VA
- $107,600 - $198,400 a year
- Full-time
- Computer Science
- 5 years
- Travel
4d
Senior Software Engineer / Data Scientist (Training Systems)
Leidos —Chantilly, VA
- $154,050 - $278,475 a year
- Full-time
- Computer Science
- System design
- 8 years
Machine Perception (MP) Engineer – Level 3 or 4
Northrop Grumman —Dulles, VA
- $114,000 - $213,400 a year
- Overtime
- Engineering
- Data analysis skills
- Analysis skills
- Paid holidays
- Disability insurance
AI Engineer (Secret Clearance Required)
CGI Group, Inc. —Washington, DC
- $79,600 - $172,400 a year
- Full-time
- Azure
- Computer Science
- Mid-level
- Paid parental leave
- Paid holidays
Senior Director, Applied Research
Capital One —McLean, VA
- Email
- Computer Science
- 5 years
- AWS
- Health insurance
Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols)
Capital One —McLean, VA
- Email
- Computer Science
- Office
- AWS
- Health insurance
Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance

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Applied Geospatial ML Engineer

Vantor -
Herndon, VA

Apply Now

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.

Apply Now

Refine Your Search

machine learning engineer jobs in herndon, va

Applied Geospatial ML Engineer

Data Analyst - AI Trainer

Staff Software Engineer - AI Trainer

Geophysical Data Analyst

AI and Data Science Engineer III

Principal Technical Risk Analyst - AI Technical Lead

Databricks Data Engineer

Senior Cloud Cybersecurity Engineer

Databricks Data Engineer

Sr Databricks Data Engineer

AI Engineer

Sr Databricks Data Engineer

Senior Data Scientist

AI Sr. Developer (Secret Clearance Required)

Senior Software Engineer / Data Scientist (Training Systems)

Machine Perception (MP) Engineer – Level 3 or 4

AI Engineer (Secret Clearance Required)

Senior Director, Applied Research

Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols)

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

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