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Machine Learning Geospatial Jobs in Florida (NOW HIRING)

SOSi

Senior Ontology Expert/Project Manager

Doral, FL · On-site

Oversee task execution, ensuring that all ontology development, machine learning governance, and ... DoD geospatial and all-source analysis. * Proficient in SysEngOps, DevSecOps, version control ...

Nalley Consulting

Project Manager - Sr

Doral, FL · On-site

Oversee task execution, ensuring that all ontology development, machine learning governance, and ... DoD geospatial and all-source analysis * Proficient in SysEngOps, DevSecOps, version control ...

Nalley Consulting

Project Manager - Sr

Miami, FL · On-site

Oversee task execution, ensuring that all ontology development, machine learning governance, and ... DoD geospatial and all-source analysis * Proficient in SysEngOps, DevSecOps, version control ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/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 ...

Worth AI

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 ...

Worth AI

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 ...

Worth AI

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/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 ...

GRVTY

Data Scientist

Doral, FL

Experience applying machine learning or statistical modeling techniques (e.g., regression ... Experience developing new geospatial tradecraft, methods, and technologies from an operations ...

GRVTY

Data Scientist

Doral, FL · On-site

Experience applying machine learning or statistical modeling techniques (e.g., regression ... Experience developing new geospatial tradecraft, methods, and technologies from an operations ...

GRVTY

Data Scientist

Doral, FL

Experience applying machine learning or statistical modeling techniques (e.g., regression ... Experience developing new geospatial tradecraft, methods, and technologies from an operations ...

Caeus

Software Engineer

Orlando, FL

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

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All JobsMachine Learning Geospatial JobsMachine Learning Geospatial Jobs in Florida

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 specialist, and why are they important?

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 Florida? For Machine Learning Geospatial jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Machine Learning Geospatial jobs in Florida look for? The top searched job categories for Machine Learning Geospatial jobs in Florida are:
What cities in Florida are hiring for Machine Learning Geospatial jobs? Cities in Florida with the most Machine Learning Geospatial job openings:
Machine Learning Geospatial jobs near you
Conservation GIS Analyst

Conservation GIS Analyst

Florida State University

Tallahassee, FL • On-site

Full-time

Retirement

Posted 17 days ago

Florida State University rating

7.7

Company rating: 7.7 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

228th of 555 rated colleges and universities

Job description

Department
Florida Natural Areas Inventory (FNAI)
Responsibilities
The Florida Natural Areas Inventory (FNAI) at Florida State University is seeking a spatial conservation analyst with a strong personal interest in supporting conservation in Florida through systematic planning work. Work will involve a wide variety of data analysis and processing work including mapping, modeling, and spatial prioritization to guide land acquisition and land management decision making. We invite applications from people of all natural resource backgrounds (planning, biology, forestry, etc) who also have strong multi-platform GIS skills and an analytical mindset. This position will be approved for up to two days per week of remote work.
  • Conduct and assist in assessments of spatial conservation priorities for natural resources, particularly biodiversity, natural communities, and landscape integrity. Develop measures and tools to evaluate the success of conservation decisions and actions compared to conservation priorities.
  • Prepare reports, presentations, data analysis, and summaries for GIS-related departmental projects; conduct outreach with entities outside of FNAI for data and information.
  • Provide technical expertise and make recommendations in development and application of geospatial analysis, design, database implementation, procedures, and quality assurance/quality control for departmental projects.
  • Develop species and ecosystem spatial models using a variety of methods ranging from expert-driven to machine-learning algorithms (e.g., Maxent, Random Forest, etc.).
  • Develop scripts and tools to facilitate workflow efficiency, data consistency, and reproducible analysis.
  • Develop and maintain natural resource-based GIS layers and conduct spatial analyses for state and regional conservation planning
  • Assist with acquisition, organization, and maintenance of the program's base GIS data and other databases.
  • Provide technical GIS support for FNAI operations; assist with GIS training for staff; assist with GIS software maintenance
  • Develop data dictionaries, data models, and metadata for geospatial applications, including web-based applications.

Qualifications
Bachelor's degree and two years of experience or a Master's degree.
Preferred Qualifications
  • A strong personal interest in developing a career in conservation
  • Experience with ESRI ArcGIS software
  • Demonstrable experience using at least one scripting language for data analysis and presentation (Python, R, or both)
  • Familiarity with the strengths and weaknesses of AI tools for code development
  • Strong digital organization skills and a commitment to reproducible analysis methods
  • Some experience in the use of remote sensing
  • Ability to communicate well in person and in writing.
  • Ability to work well with FNAI staff scientists.
  • Ability to work independently and meet deadlines.
  • Ability to serve as a representative of FNAI and interface well with professional colleagues and the public
  • Bachelor's degree in GIS, Geography, Environmental Science, Biology, Forestry, Urban Planning, or a related field and a minimum of two years of experience or an MS in one of these same fields
  • Some background in statistical analysis
  • Familiarity with geospatial foundation models and their potential conservation applications
  • Experience conducting analysis with Google Earth Engine
  • Familiarity with use of UAVs (drones) and processing UAV collected data
  • Familiarity with databases and SQL
  • Experience in species habitat or distribution modeling
  • Experience with natural community and habitat interpretation from aerial photographs, satellite imagery, and soil surveys.
  • Familiarity with Florida's natural communities, flora, and fauna
  • Familiarity with Florida's current and recent state conservation and land use planning programs, including land acquisition.
  • Awareness of major conservation issues, challenges, and opportunities in Florida.

Other Information
The Florida Natural Areas Inventory (FNAI) is Florida's Natural Heritage Program and state member of the NatureServe network. We are housed within the Florida Resources and Environmental Analysis Center at Florida State University . FNAI maintains a spatial database of information on Florida's rarest species and conservation lands and works on an array of applied research projects to inform conservation and land management decisions. Our funding is provided by contracts and grants from state and federal agency partners.
Contact Info
For questions, or more information, contact Frank Price , FNAI Director or Jon Oetting , Chief of Conservation Planning Services.
University Information
One of the nation's elite research universities, Florida State University preserves, expands, and disseminates knowledge in the sciences, technology, arts, humanities, and professions, while embracing a philosophy of learning strongly rooted in the traditions of the liberal arts and critical thinking. Founded in 1851, Florida State University is the oldest continuous site of higher education in Florida. FSU is a community steeped in tradition that fosters research and encourages creativity. At FSU, there's the excitement of being part of a vibrant academic and professional community, surrounded by people whose ideas are shaping tomorrow's news!
Learn more about Florida State University and our campuses .
Anticipated Salary Range
Starting at $52,000.
FSU Total Rewards
FSU offers a robust Total Rewards package. Visit our FSU Total Rewards website to learn more about our Compensation, Benefits, Wellness, Recognition, and Employee Development programs.
Use our FSU Total Compensation Calculato r to calculate Total Compensation options based on potential salary, benefits and retirement contributions, earned leave, and other employment-related perks.
How To Apply
If qualified and interested in a specific job opening as advertised, apply through the FSU Careers site (jobs.fsu.edu). If you are a current FSU employee, apply through myFSU Self Service.
Applicants are required to complete the online application with all applicable information. Applications must include all work history up to ten years, and education details even if attaching a resume.
Considerations
This is an A&P position.
This position requires successful completion of a criminal history background check .
Equal Employment Opportunity
FSU is an Equal Employment Opportunity Employer.

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About Florida State University

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One of the nation's elite research universities, Florida State University preserves, expands, and disseminates knowledge in the sciences, technology, arts, humanities, and professions, while embracing a philosophy of learning strongly rooted in the traditions of the liberal arts and critical thinking. Founded in 1851, Florida State University is the oldest continuous site of higher education in Florida. FSU is a community steeped in tradition that fosters research, encourages creativity, and embraces diversity. At FSU, there's the excitement of being part of a vibrant academic and professional community, surrounded by people whose ideas are shaping tomorrow's news!

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Tallahassee, FL, US

Year founded

1851

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