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Machine Learning Geospatial Jobs in College Park, MD

BAE Systems

Imagery Anst Sr

Sterling, VA · On-site

$95K - $161K/yr

Responsibilities for this position include providing imagery and geospatial analysis services in the Machine Learning disciplines to facilitate the creation, review, and verification of training data ...

BAE Systems

Imagery Anst Sr

Falls Church, VA · On-site

$95K - $161K/yr

Responsibilities for this position include providing imagery and geospatial analysis services in the Machine Learning disciplines to facilitate the creation, review, and verification of training data ...

Akima

Data & Geospatial Standards Specialist

Springfield, VA · On-site

$59K - $72K/yr

... machine learning, artificial intelligence, entity extraction, and automated taxonomy generation ... Systems, Geospatial Science, Computer Science, or related field. • 8+ years of progressive ...

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How much do machine learning geospatial jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for machine learning geospatial in College Park, MD is $28.81, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $33.51 per hour, depending on experience, location, and employer.

What does a Machine Learning Geospatial professional do?

A Machine Learning Geospatial professional uses machine learning techniques to analyze and interpret geospatial data, such as satellite imagery, maps, and GPS data. Their work involves building and training models to detect patterns, make predictions, and solve spatial problems in fields like agriculture, urban planning, disaster response, and environmental monitoring. These professionals often collaborate with data scientists and GIS (Geographic Information Systems) specialists to extract actionable insights from large and complex geospatial datasets. Their skills are crucial for automating tasks such as image classification, land cover mapping, and object detection in geographic contexts.

What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?

Machine Learning Geospatial professionals often encounter challenges such as managing large and complex spatial datasets, ensuring data quality and consistency, and handling spatial autocorrelation that can bias model results. Additionally, integrating diverse data sources—like satellite imagery, sensor data, and GIS layers—requires advanced pre-processing and domain knowledge. Collaborating with GIS analysts and domain experts is usually essential to develop robust models that provide actionable insights.

What is the difference between Machine Learning Geospatial vs GIS Analyst?

AspectMachine Learning GeospatialGIS Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial dataBachelor's in Geography, GIS, or related fields; proficiency in GIS software
Work EnvironmentTech companies, data science teams, research institutionsGovernment agencies, urban planning, environmental firms
Industry UsageData-driven geospatial analysis, predictive modeling, AI applicationsMapping, spatial data management, spatial analysis

Machine Learning Geospatial professionals focus on applying machine learning techniques to analyze geospatial data, often working with large datasets and developing predictive models. GIS Analysts primarily handle spatial data management, mapping, and analysis using GIS software. While both roles work with geospatial data, Machine Learning Geospatial roles emphasize data science and AI, whereas GIS Analysts focus on spatial information management and visualization.

What are the key skills and qualifications needed to thrive as a Machine Learning Geospatial professional?

To thrive as a Machine Learning Geospatial specialist, you need a strong background in machine learning, geospatial analysis, programming (Python, R), and a relevant degree in computer science, geography, or a related field. Familiarity with GIS software (e.g., ArcGIS, QGIS), remote sensing tools, and cloud platforms like Google Earth Engine or AWS is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for developing accurate geospatial models and delivering actionable insights from complex spatial data.
What job categories do people searching Machine Learning Geospatial jobs in College Park, MD look for? The top searched job categories for Machine Learning Geospatial jobs in College Park, MD are:
Machine Learning Geospatial jobs near you
Infographic showing various Machine Learning Geospatial job openings in College Park, MD as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $59,930 per year, or $28.8 per hour.

Imagery Anst Sr

BAE Systems

Sterling, VA • On-site

$95K - $161K/yr

Full-time

Re-posted 28 days ago

BAE Systems rating

8.4

Company rating: 8.4 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

10th of 49 rated military and defense

Job description


BAE Systems is seeking a motivated, experienced Sr Imagery Analyst to join our team supporting the National Geospatial-Intelligence Agency (NGA). Candidates must demonstrate the ability to understand intelligence issues, military affairs, and use GIS skills and software to create, edit, and review geospatial intelligence and imagery products.
Responsibilities for this position include providing imagery and geospatial analysis services in the Machine Learning disciplines to facilitate the creation, review, and verification of training data for use in Artificial Intelligence platforms. Candidates must apply photointerpretation skills to available imagery, multi-INT, and other source data sources to properly identify, categorize, and annotate target objects. Candidates are expected to possess strong order of battle subject matter expertise. Additionally, candidates must possess experience training and conveying knowledge and experience to junior team members, as well as strong communication and collaboration skills.
Required Skills and Education
  • 8+ years of demonstrated imagery or geospatial analysis experience in the Intelligence Community at the national level, and/or military operational level, including GEOINT exploitation and reporting.
  • ORDER OF BATTLE experience
  • Experience and proficiency using GIS or imagery viewing and exploitation software such as SOCET GXP, ArcGIS, QGIS, RemoteView, ERDAS IMAGINE, ENVI, Google Earth.
  • Attended a certified imagery schoolhouse or the Geospatial Intelligence Training Program.
  • Experience with Machine Learning training data creation, annotation, and review as well as Structured Observation Management
  • Extensive order of battle knowledge including air, sea, and ground equipment and infrastructure.
  • Knowledge of the intelligence collection process.
  • Experience in targeting and precision point mensuration.
  • Demonstrated good oral and written communication skills.
  • Knowledge of common office software to include Adobe, MS Office 365 to support the building of slide presentations, spreadsheets, word processing.
  • Ability to work in a very dynamic and demanding work environment.
  • Ability to attain and maintain GPC-F and IA-II certifications.
  • Experience training and mentoring junior and upcoming team members.

About BAE Systems Intelligence & Security
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference.
Intelligence & Security (I&S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do-from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.
Preferred Skills and Education
  • Working with multi-int information and data.
  • Experience with multi-modal imagery exploitation.
  • Experience using ESRI ArcPro and extensions for analytical support.
  • Experience using, creating, updating, and maintaining geodatabases.
  • Bachelors in GIS, Geography, or related major.
  • Experience with Python scripting and geospatial modeling.

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