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Senior Applied AI/ML Engineer (TS/SCI)

Vantor

Springfield, VAFull-time$140–206K/yrPosted 4w agoStill listed today

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At a glance

Compensation
$140–206K/yr
Location
Springfield, VA
Schedule
Full-time
Work Authorization
US work authorization required

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

TS/SCI clearance, requiredBachelor's degree, required

Job overview

Vantor seeks a Senior Applied AI/ML Engineer to support Special Operations users on a small, multidisciplinary team. The role spans end-to-end data and machine learning capabilities, including data pipelines, analytics, model deployment, and analyst-facing applications. The ideal candidate brings data engineering, applied data science, and software development experience, and can take solutions from large-dataset ingestion through production services and tools for mission users.

Skills & qualifications

RequiredNice to have

Skills

Python, requiredPySpark, requiredSQL, requiredProduction Data Pipelines, requiredAnalytics Applications, requiredMachine Learning Applications, requiredData Modeling, requiredETL/ELT, requiredData Quality, requiredData Transformation, requiredAnalytical Data Stores, requiredSearch-Oriented Data Stores, requiredProblem Solving, requiredCollaboration, requiredDistributed Data Engineering, nice to haveApache Spark, nice to haveHDFS, nice to haveDelta Lake, nice to haveElasticsearch, nice to haveModel Deployment, nice to haveModel Operations, nice to haveGeospatial Analysis, nice to haveH3 Indexing, nice to haveGraph Analytics, nice to haveComputer Vision, nice to haveOCR, nice to haveNatural Language Processing, nice to haveLarge Language Models, nice to haveFastAPI, nice to haveDjango, nice to haveReact, nice to haveTypeScript, nice to haveCloud Computing, nice to haveDevOps, nice to haveOrchestration, nice to haveAWS, nice to haveAzure, nice to haveOpenStack, nice to haveDocker, nice to haveNomad, nice to have

Qualifications

Active TS/SCI and CI Polygraph, requiredBachelor's in Related Field, required8+ Years Related Experience, requiredU.S. Citizenship, requiredWilling to Work at Customer Site, required

Benefits

401(k) Match

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.

Vantor is seeking a Senior Applied AI/ML Engineer to work in an agile and fast-paced customer environment supporting users whose mission is to solve unique and challenging problems for Special Operations. The selected candidate will be part of a small, multi-disciplinary team responsible for building end-to-end data and machine learning capabilities. This includes developing scalable data pipelines, applying advanced analytics and machine learning, deploying models and services into production, and delivering analyst-facing applications and tools.

The ideal candidate combines strong data engineering fundamentals with applied data science and software development experience. This role requires someone who can work across the full lifecycle of a solution—from ingesting and transforming large datasets to developing models, exposing capabilities through APIs, and delivering reliable tools directly to mission users.

Minimum Requirements:

  • Must have a current/active TS/SCI and a CI polygraph.
  • Bachelor's degree in Computer Science, Data Science, Information Science, Mathematics, Statistics, Engineering, or a related field.
  • At least 8 years of related experience in data engineering, data science, machine learning engineering, software engineering, or a combination thereof.
  • Strong programming experience with Python, PySpark, and SQL.
  • Experience designing, developing, and optimizing production data pipelines that process large-scale or complex datasets.
  • Experience developing and deploying analytics, machine learning, or data-intensive applications and services.
  • Experience with data modeling, ETL/ELT, data quality, transformation logic, and analytical or search-oriented data stores.
  • Ability to translate ambiguous mission or customer problems into practical data, analytics, and software solutions.
  • Must be a highly motivated, self-driven team player who can collaborate effectively with customers, analysts, software engineers, and technical leadership.
  • Must be willing to work at a customer site in Northern VA.

Preferred Skills:

  • Experience with distributed data engineering using Apache Spark/PySpark, HDFS, Delta Lake, Elasticsearch, or similar technologies across large-scale datasets.
  • Experience deploying and operating machine learning models and inference services at scale across GPU/CPU clusters or containerized environments.
  • Experience applying advanced analytics, including geospatial analysis, H3 indexing, graph analytics, computer vision, OCR, natural language processing, or large language models.
  • Experience developing analyst-facing data and machine learning applications using FastAPI, Django, React, TypeScript, or similar technologies.
  • Experience with cloud, DevOps, and orchestration tools such as AWS, Azure, OpenStack, Docker, Nomad, Kubernetes, GitLab, CI/CD, or Ansible.
  • Experience building APIs or production services using technologies such as FastAPI, Django, Java, or equivalent frameworks.

#cjpost #LI-CJ1 #LI-Onsite

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.

  • The base pay for this position within the Washington, DC metropolitan area is: $140,000.00 - $187,000.00 - $205,700.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

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.

How this job compares

Set against the 6,294 open Machine Learning Engineer jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This posting$140–206K/yr
  • Virginia median$143–219K/yr227 salary ranges
  • US median$150–246K/yr5,154 salary ranges

This range's midpoint, $173K, is 4% below the Virginia median midpoint ($181K) — in the middle half of Machine Learning Engineer salary ranges in Virginia.

Openings
Olive Jobs lists 263 open Machine Learning Engineer jobs in Virginia and 6,294 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Virginia
Experience
This posting asks for at least 8 years of experience — more than three in four Machine Learning Engineer postings that state a minimum ask for (median 5 years, across 5,032 postings).
Education
This posting asks for a bachelor's degree; 2,031 of the 6,294 open Machine Learning Engineer jobs (32%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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