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Machine Learning Geospatial Jobs in Maryland (NOW HIRING)

Belay Technologies

Senior Software Engineer

Columbia, MD · On-site

$190K - $240K/yr

Experience with geospatial analysis, pattern-of-life analytics, or time-series analysis. * Experience with data visualization tools and dashboard development. * Experience deploying machine learning ...

Leonardo DRS

Principal Data Scientist

Germantown, MD

$134K - $181K/yr

... and geospatial datasets, ensuring datasets are ready for the ML training pipeline. * Lead ... Strong foundation in applied statistics, analytics, and machine learning * Proven ability to set ...

Leonardo DRS

Principal Data Scientist

Germantown, MD · On-site

$134K - $181K/yr

... and geospatial datasets, ensuring datasets are ready for the ML training pipeline. * Lead ... Strong foundation in applied statistics, analytics, and machine learning * Proven ability to set ...

Leonardo DRS

Principal Data Scientist

Germantown, MD · On-site

$134.33 - $181.35/hr

... geospatial datasets. * Lead classifier evaluation and validation, defining rigorous metrics and ... Solid foundation in applied statistics, analytics, and machine learning. * Proven ability to set ...

Booz Allen Hamilton

Data Scientist

Fort George G Meade, MD · On-site

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ... Experience with data visualization or geospatial tools, such as Tableau, Qlik, Power BI, or ArcGIS

Booz Allen Hamilton

Data Scientist

Fort George G Meade, MD · On-site

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ... Experience with data visualization or geospatial tools, such as Tableau, Qlik, Power BI, or ArcGIS

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Showing results 21-40

All JobsMachine Learning Geospatial JobsMachine Learning Geospatial Jobs in Maryland

Machine Learning Geospatial information

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 are popular job titles related to Machine Learning Geospatial jobs in Maryland? For Machine Learning Geospatial jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Machine Learning Geospatial jobs in Maryland look for? The top searched job categories for Machine Learning Geospatial jobs in Maryland are:
What cities in Maryland are hiring for Machine Learning Geospatial jobs? Cities in Maryland with the most Machine Learning Geospatial job openings:
Machine Learning Geospatial jobs near you
Infographic showing various Machine Learning Geospatial job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Exploitation Specialist/Imagery Scientist (SAR)

BTS

Columbia, MD • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
BTS Software Solutions is seeking an Exploitation Specialist/Imagery Scientist (SAR) to support Department of Defense IC missions. The role involves providing geospatial and imagery expertise, conducting quantitative analysis, and improving data curation for Machine Learning algorithm testing and evaluation.
Responsibilities:
• Experience with Synthetic Aperture Radar imagery analytical products and conducting multi-INT analysis
• Utilize structured, unstructured, and semi-structured data and visualization tools to exploit data through use of programming and scripting, including advanced geospatial skills and an excellent understanding of how to apply evolving technology and methodologies to related issues
• Leverage multi-INT data, with an emphasis on SAR, to curate imagery from the emergent sensors. Curated imagery will be prioritized for creation of labeled data to support the model evaluation and accreditation. Curated imagery should have objects of interest or needed characteristics (e.g., geographic coverage, scene attributes) per Government prioritization
• Based on the characteristics and limitations of the emergent sensor, recommend curation strategies and identify data gaps to develop a diverse, representative dataset for Machine Learning model evaluation
Qualifications:
Required:
• Experience with Synthetic Aperture Radar imagery analytical products and conducting multi-INT analysis
• Utilize structured, unstructured, and semi-structured data and visualization tools to exploit data through use of programming and scripting, including advanced geospatial skills and an excellent understanding of how to apply evolving technology and methodologies to related issues
• 6+ years as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products
• Experience SAR imagery quality metrics and sensor metadata describing impacts of geometry on phenomenology
• Exhibit experience exploiting SAR to determine the occurrence and location of objects of interest
• Exhibit experience communicating with a variety of technical and non-technical audiences on availability and capabilities of SAR imagery products, methodologies, procedures, and algorithms to enhance analysis
• Exhibit an understanding of the principles of remote sensing and imagery processing and advanced exploitation methods
• Experience working with or developing Machine Learning algorithms for exploiting overhead imagery and/or motion imagery products
• Leverage multi-INT data, with an emphasis on SAR, to curate imagery from the emergent sensors
• Based on the characteristics and limitations of the emergent sensor, recommend curation strategies and identify data gaps to develop a diverse, representative dataset for Machine Learning model evaluation
• Clearance Requirement: TS/SCI, must be willing to take a CI Poly in the future
Company:
BTS solves modern security and defense challenges through cutting edge technology and highly-skilled teams. Founded in , the company is headquartered in Columbia, Maryland, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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