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Machine Learning Geospatial Jobs in Haines City, FL

Senior Software Engineer

Orlando, FL · On-site

$114K - $150K/yr

Experience with geospatial and image-processing technologies such as GDAL, PDAL, CGAL, OpenCV, ArcGIS, QGIS,Assimp, orOpenSceneGraph. * Experience with artificial intelligence, machine learning ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Data Platform Engineer

Orlando, FL · Remote

$117K - $140K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial data processing and visualization (GDAL, PDAL, PostGIS, Geoserver, OpenLayers, Leaflet, Cesium)

Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial data processing and visualization (GDAL, PDAL, PostGIS, Geoserver, OpenLayers, Leaflet, Cesium)

Machine Learning Geospatial information

See Haines City, FL salary details

$16

$25

$40

How much do machine learning geospatial jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for machine learning geospatial in Haines City, FL is $25.50, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $29.66 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 cities near Haines City, FL are hiring for Machine Learning Geospatial jobs? Cities near Haines City, FL with the most Machine Learning Geospatial job openings:

Senior Software Engineer

Leidos

Orlando, FL • On-site

$114K - $150K/yr

Full-time

Posted 24 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

77th of 483 rated business services


Job description

TheNational Solutions Business Areaat Leidos currently has an opening for aSenior Software Engineerto support advanced software development efforts inOrlando, FL. This is an exciting opportunity toleverageyourexpertisedeveloping innovative software solutions that support mission-critical capabilities for the Department of Defense and Intelligence Community.

In this role, you will serve as a senior technical contributor and technical leader responsible for designing, developing, and delivering high-performance software solutions that address complex engineering challenges. You will work with multidisciplinary teams to develop next-generation capabilities spanning high-performance computing, computer vision, image and mesh processing, geospatial analytics, artificial intelligence, modeling and simulation, and advanced visualization.

The successful candidate willpossessdeepexpertisein modern software engineering principles and advanced programming techniques while helping define technical strategy, mentoring engineering teams, and collaborating with government customers to transition innovative research into operational capability. This position requires the ability to solvehighly complextechnical problems, influence architectural decisions, and contribute to the strategic direction of critical programs

Primary Responsibilities:

  • Design, develop, test, integrate, andmaintaincomplex software systems throughout the complete software development lifecycle.

  • Architect and implement high-performance software applications.

  • Develop scalable algorithms for computer vision, image processing, computational geometry, mesh processing, photogrammetry, and geospatial data exploitation.

  • Design andoptimizeGPU-accelerated software using CUDA and parallel computing technologies.

  • Develop software frameworks, reusable libraries, APIs, and services supporting mission applications.

  • Perform software architecture, design reviews, code reviews, debugging, profiling, and performance optimization.

  • Collaborate with scientists, engineers, mathematicians, and government customers to develop innovative technical solutions for complex mission challenges.

  • Lead technical planning, software architecture decisions, risk identification, and implementation strategies for large, complex software efforts.

  • Mentor software engineers and provide technical leadership across multiple development teams.

  • Research emerging technologies and evaluate their applicability to customer missions.

  • Support customer demonstrations, technical interchange meetings, design reviews, and program milestones.

  • Develop andmaintaintechnical documentation, software design artifacts, interface documentation, and engineering reports.

  • Ensure software quality through automated testing, configuration management, continuous integration, andDevSecOpsbest practices.

  • Contribute to technical proposals, innovation initiatives, and research activities supporting future business growth.

Basic Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related STEM discipline with 12-15 years of relevant experience, or a master's degree with 10-13 years of relevant experience.Additionalexperience may be considered in lieu of a degreein accordance withLeidos equivalency guidelines.

  • Advancedproficiencyin one or more programming languages, such as C++, Python, C#, Java, or C.

  • Extensive experience designing, developing, integrating, testing, deploying, andmaintainingcomplex software applications throughout the software development lifecycle.

  • Experience designing software architecture, processing pipelines, plugins, automation tools, or reusable software components.

  • Experience developing software for Windows and Linux environments.

  • Demonstrated ability to resolve complex technical problems, modernize existing software, and applynew technologiesto improve software capabilities and development efficiency.

  • Experience providing senior-level technicalexpertiseand contributing to software design, implementation, integration, and technical approach decisions.

  • Experience working in Agile software development environments and using configuration management tools such as Git, GitHub, or GitLab.

  • Strong written and verbal communication skills, with experience collaborating with government customers and multidisciplinary technical teams.

Preferred Qualifications

  • Experience developing distributed or scalable software-processing workflows for large datasets.

  • Experience with computer vision, image processing, computational geometry, mesh processing, photogrammetry, or point-cloud processing.

  • Experience processing terrain data, imagery, LiDAR, drone imagery, or other large geospatial datasets.

  • Experience with geospatial and image-processing technologies such as GDAL, PDAL, CGAL, OpenCV, ArcGIS, QGIS,Assimp, orOpenSceneGraph.

  • Experience with artificial intelligence, machine learning, neural networks, AI-assisted software development, or workflow automation.

  • Experience developing modeling, simulation, military training, or advanced visualization systems for Department of Defense customers.

  • Experience with distributed processing, cloud technologies, containerization, or related development tools such as AWS and Docker.

  • Experience applying research, emerging technologies, or internally developed capabilities to complex software engineering efforts.

  • Experience supporting software integration, testing, training, demonstrations, or fielded government systems.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:July 29, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $131,300.00 - $237,350.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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