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Machine Learning Geospatial Jobs in Florida (NOW HIRING)

Leidos

AI Data Science Intern

Orlando, FL · On-site

$48.10K - $86.95K/yr

... Machine Learning (ML) , and Large Language Models (LLMs) * Support the development of multimodal AI systems that combine visual, textual, geospatial, and sensor data * Assist in designing data ...

Leidos

AI Data Science Intern

Orlando, FL · On-site

$48.10K - $86.95K/yr

... Machine Learning (ML) , and Large Language Models (LLMs) * Support the development of multimodal AI systems that combine visual, textual, geospatial, and sensor data * Assist in designing data ...

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 ...

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 ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106.90K - $128.40K/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

Graph DBA

Miami, FL · On-site +1

$47.75 - $59.75/hr

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

Tampa, FL · On-site +1

$108.20K - $129.90K/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

Graph DBA

Orlando, FL · On-site +1

$46.75 - $58.25/hr

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 · On-site

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

Detect

AI Engineer - Computer Vision

Miami, FL · On-site

We build cutting-edge solutions that fuse technology, geospatial intelligence, and automation to ... Experience building and deploying machine learning or computer vision solutions in real-world ...

DeTect

AI Engineer - Computer Vision

Miami, FL · On-site

We build cutting-edge solutions that fuse technology, geospatial intelligence, and automation to ... Experience building and deploying machine learning or computer vision solutions in real-world ...

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 · 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 · On-site

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

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All JobsMachine Learning Geospatial JobsMachine Learning Geospatial Jobs in Florida

Machine Learning Geospatial information

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 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 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 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 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
AI Data Science Intern

AI Data Science Intern

Leidos

Orlando, FL • On-site

$48.10K - $86.95K/yr

Part-time

Posted 22 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

58th of 424 rated business services

Job description

Leidos is seeking a university student to join our Orlando-based team as Software Development Interns supporting Internal Research and Development (IRAD) efforts. This internship offers an opportunity to contribute to exploratory projects in Artificial Intelligence (AI), data engineering, and advanced software development - all in support of Leidos' internal innovation and national security customer missions. We welcome applicants from a variety of academic backgrounds who have strong interest or experience in computing, data, or AI. This role emphasizes hands-on, applied research and prototyping in modern software and AI ecosystems.

Primary Responsibilities

  • Contribute to IRAD projects involving Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs)
  • Support the development of multimodal AI systems that combine visual, textual, geospatial, and sensor data
  • Assist in designing data pipelines that transform structured and unstructured data into AI/ML-ready formats
  • Prototype AI applications and perform experimental evaluations, including AI safety and reliability testing
  • Collaborate with multidisciplinary teams on simulation, modeling, and decision support tools
  • Document findings, write test code, and iterate based on feedback and research outcomes

Basic Qualifications

  • Actively enrolled in an undergraduate or graduate program at the University of Central Florida
  • U.S. citizenship and the ability to obtain and maintain a Secret security clearance
  • Strong interest in or exposure to programming, AI/ML, or data science
  • Familiarity with one or more modern programming languages (e.g., Python, Java, C++, JavaScript)

Preferred Qualifications

  • Coursework, projects, or hands-on experience in areas such as:
    • Artificial Intelligence or Machine Learning
    • Computer Vision or Multimodal Models
    • Natural Language Processing or Large Language Models
    • Data engineering or data wrangling
  • Familiarity with data labeling, data cleaning, or preparing training sets for AI
  • Interest in AI safety, bias mitigation, or explainability
  • Creative problem-solving skills and eagerness to work on exploratory, research-driven efforts

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:November 6, 2025

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 $48,100.00 - $86,950.00

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.

What Leidos employees say

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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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