Machine learning background, including model evaluation, fine-tuning, or applied ML beyond prompt ... BIM, and geospatial data in the browser. * Strategic transformation opportunity: You will help ...
Machine learning background, including model evaluation, fine-tuning, or applied ML beyond prompt ... BIM, and geospatial data in the browser. * Strategic transformation opportunity: You will help ...
Machine learning background, including model evaluation, fine-tuning, or applied ML beyond prompt ... BIM, and geospatial data in the browser. * Strategic transformation opportunity: You will help ...
Machine learning background, including model evaluation, fine-tuning, or applied ML beyond prompt ... BIM, and geospatial data in the browser. * Strategic transformation opportunity: You will help ...
Data Scientist
Doral, FL · On-site
Knowledge of data visualization, feature selection, and geospatial analytics is required. Personnel ... Azure Machine Learning, and in implementing models into operational workflows. Education: * A ...
Data Scientist
Doral, FL · On-site
Knowledge of data visualization, feature selection, and geospatial analytics is required. Personnel ... Azure Machine Learning, and in implementing models into operational workflows. Education: * A ...
Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat ... Experience with geospatial data analysis, trajectory modeling, or pattern of life analytics in ...
Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat ... Experience with geospatial data analysis, trajectory modeling, or pattern of life analytics in ...
Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat ... Experience with geospatial data analysis, trajectory modeling, or pattern of life analytics in ...
Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat ... Experience with geospatial data analysis, trajectory modeling, or pattern of life analytics in ...
Data Scientist
Tampa, FL · On-site
Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat ... Experience with geospatial data analysis, trajectory modeling, or pattern of life analytics in ...
Data Scientist
Tampa, FL · On-site
Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat ... Experience with geospatial data analysis, trajectory modeling, or pattern of life analytics in ...
Postdoctoral Scholar - Florida Center for Prevention Research (Full-time, OPS) (Multiple Vacancies)
Tallahassee, FL · On-site
... geospatial modeling, or machine learning). * Experience with data management and secondary analysis of large administrative, health services, or population-based datasets (e.g., Medicaid/claims data ...
Postdoctoral Scholar - Florida Center for Prevention Research (Full-time, OPS) (Multiple Vacancies)
Tallahassee, FL · On-site
... geospatial modeling, or machine learning). * Experience with data management and secondary analysis of large administrative, health services, or population-based datasets (e.g., Medicaid/claims data ...
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 ...
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 ...
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 ...
Quick apply
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 ...
Oversee task execution, ensuring that all ontology development, machine learning governance, and ... DoD geospatial and all-source analysis. * Proficient in SysEngOps, DevSecOps, version control ...
Oversee task execution, ensuring that all ontology development, machine learning governance, and ... DoD geospatial and all-source analysis. * Proficient in SysEngOps, DevSecOps, version control ...
Oversee task execution, ensuring that all ontology development, machine learning governance, and ... supporting DoD geospatial and all-source analysis Proficient in SysEngOps, DevSecOps, version ...
Oversee task execution, ensuring that all ontology development, machine learning governance, and ... supporting DoD geospatial and all-source analysis Proficient in SysEngOps, DevSecOps, version ...
Oversee task execution, ensuring that all ontology development, machine learning governance, and ... DoD geospatial and all-source analysis. * Proficient in SysEngOps, DevSecOps, version control ...
Oversee task execution, ensuring that all ontology development, machine learning governance, and ... DoD geospatial and all-source analysis. * Proficient in SysEngOps, DevSecOps, version control ...
Oversee task execution, ensuring that all ontology development, machine learning governance, and ... DoD geospatial and all-source analysis. * Proficient in SysEngOps, DevSecOps, version control ...
Oversee task execution, ensuring that all ontology development, machine learning governance, and ... DoD geospatial and all-source analysis. * Proficient in SysEngOps, DevSecOps, version control ...
Knowledge of AI or machine learning techniques that can assist with predictive policing or incident trend analysis * Experience with ArcGIS ESRI maps and Geospatial mapping * Previous experience in ...
Quick apply
Knowledge of AI or machine learning techniques that can assist with predictive policing or incident trend analysis * Experience with ArcGIS ESRI maps and Geospatial mapping * Previous experience in ...
Competitive candidates will demonstrate a strong record of research in areas such as Geospatial Artificial Intelligence (GeoAI), machine learning, and spatial statistics. Candidates who bridge ...
Competitive candidates will demonstrate a strong record of research in areas such as Geospatial Artificial Intelligence (GeoAI), machine learning, and spatial statistics. Candidates who bridge ...
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 · 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 · 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 · 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
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 ...
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 ...
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 ...
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 ...
Experience applying machine learning or statistical modeling techniques (e.g., regression ... Experience developing new geospatial tradecraft, methods, and technologies from an operations ...
Experience applying machine learning or statistical modeling techniques (e.g., regression ... Experience developing new geospatial tradecraft, methods, and technologies from an operations ...
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?
| Aspect | Machine Learning Geospatial | GIS Analyst |
|---|---|---|
| Required Credentials | Bachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial data | Bachelor's in Geography, GIS, or related fields; proficiency in GIS software |
| Work Environment | Tech companies, data science teams, research institutions | Government agencies, urban planning, environmental firms |
| Industry Usage | Data-driven geospatial analysis, predictive modeling, AI applications | Mapping, 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:
Full-time
Medical, Dental, Vision, Retirement
Posted 24 days ago
Kimley-Horn rating
8.9
Based on 84 frontline employees who took The Breakroom Quiz
33rd of 356 rated engineering
Job description
Overview
Kimley-Horn is looking for a Software Developer - 3D Visualization in our Jacksonville, Florida (FL) office! The position could also be located in Tampa, St. Petersburg, Sarasota, or Orlando. This is an office-based opportunity.
Responsibilities
Kimley-Horn's Technology and Innovation team builds internal software that helps civil engineers deliver projects faster, more consistently, and with higher quality. Our work spans full-stack web applications, system integrations, AI-powered features, and interactive visualizations, ranging from focused utilities that streamline daily workflows to platforms that render CAD models, engineering data, and geospatial scenes in the browser.
In this role, you will build full-stack applications with a strong emphasis on interactive 3D and visualization. Some are conventional web applications with discrete geometric or mapping features; others are visualization-forward platforms with WebGL pipelines, CAD model viewers, or 3D geospatial scenes at their core. You will work directly with practicing engineers to understand real problems, ship solutions end-to-end, and refine them based on adoption. Additionally you will:
Qualifications
Preferred
Why This Role
Why Kimley-Horn?
At Kimley-Horn, we do things differently. People, clients, and employees are at the forefront of who we are. Clients know we prioritize achieving their goals and growing their success. Employees know our culture and approach to business are built on a desire to provide an environment for everyone to flourish. Our commitment to quality is only as good as the people behind it- that's why we welcome and develop passionate, hardworking, and proactive employees. We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn's placement on the Fortune "100 Best Companies to Work" list for 19 years!
Key Benefits at Kimley-Horn
Kimley-Horn is looking for a Software Developer - 3D Visualization in our Jacksonville, Florida (FL) office! The position could also be located in Tampa, St. Petersburg, Sarasota, or Orlando. This is an office-based opportunity.
Responsibilities
Kimley-Horn's Technology and Innovation team builds internal software that helps civil engineers deliver projects faster, more consistently, and with higher quality. Our work spans full-stack web applications, system integrations, AI-powered features, and interactive visualizations, ranging from focused utilities that streamline daily workflows to platforms that render CAD models, engineering data, and geospatial scenes in the browser.
In this role, you will build full-stack applications with a strong emphasis on interactive 3D and visualization. Some are conventional web applications with discrete geometric or mapping features; others are visualization-forward platforms with WebGL pipelines, CAD model viewers, or 3D geospatial scenes at their core. You will work directly with practicing engineers to understand real problems, ship solutions end-to-end, and refine them based on adoption. Additionally you will:
- Build full-stack web applications that solve real workflow problems for civil engineers, ranging from focused utilities to firm-wide platforms.
- Develop interactive visualizations that render CAD geometry, BIM models, geospatial scenes, and engineering data in the browser for review, analysis, and decision-making.
- Develop reliable backend services and modern, responsive front ends, integrating with CAD, engineering platforms, document stores, and structured and unstructured data.
- Partner with engineers and domain experts to identify high-impact opportunities, prototype solutions, refine with feedback, and productionize for firm-wide adoption.
- Maintain engineering-grade quality through testing, version control, CI/CD, and supportable releases as platforms and underlying tools evolve.
Qualifications
- 3+ years of professional post-grad software development experience building applications used by others.
- Full-stack development experience with strong C#/.NET/TypeScript on the backend and a modern front-end framework (React, Blazor, Angular, or equivalent).
- Strong SQL and/or NoSQL skills with sound data modeling instincts.
- Experience with Azure Cosmos DB, including data modeling and querying for application backends.
- Hands-on experience building interactive 3D or visualization-heavy applications using Three.js, Babylon.js, WebGL, or equivalent web rendering technologies.
- Experience working with spatial, geometric, or geospatial data such as CAD geometry, BIM models, point clouds, or GIS/mapping data.
- Demonstrated use of AI-assisted coding tools (Claude Code, OpenAI Codex, or equivalent) to accelerate delivery while maintaining code quality.
- Strong communication skills and the ability to partner directly with practicing engineers, translating ambiguous needs into shipped software.
Preferred
- Experience with AEC platform SDKs such as Autodesk Platform Services (Forge), Bentley iModel.js, or IFC.js.
- Experience with applied AI development, including multi-agent workflows, RAG systems, or platforms like Azure AI Foundry and Azure AI Search.
- Python proficiency, particularly for ML, data, or AI workflows.
- Machine learning background, including model evaluation, fine-tuning, or applied ML beyond prompt-based systems.
- Experience with data lakes, lakehouses, or modern data platforms (Azure Data Lake, Microsoft Fabric, Databricks, or similar).
- Background in civil engineering or familiarity with AEC workflows (CAD/BIM, GIS, plan production, site/roadway/drainage design).
Why This Role
- Enterprise impact: Your software will be used daily by engineers delivering real infrastructure projects across the country.
- Range of work: Your day-to-day moves between standard full-stack development, system integration, and interactive visualization, building both the everyday tools engineers rely on and the more ambitious platforms that render CAD, BIM, and geospatial data in the browser.
- Strategic transformation opportunity: You will help define how a 10,000-person engineering firm builds, adopts, and scales internal software, including how interactive visualization gets woven into engineering practice.
- High ownership: You will shape architecture, influence priorities, and see your work in active use end-to-end.
Why Kimley-Horn?
At Kimley-Horn, we do things differently. People, clients, and employees are at the forefront of who we are. Clients know we prioritize achieving their goals and growing their success. Employees know our culture and approach to business are built on a desire to provide an environment for everyone to flourish. Our commitment to quality is only as good as the people behind it- that's why we welcome and develop passionate, hardworking, and proactive employees. We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn's placement on the Fortune "100 Best Companies to Work" list for 19 years!
Key Benefits at Kimley-Horn
- Exceptional Retirement Plan: 2-to1- company match on up to 4% of eligible compensation (salary + bonus) and additional profit-sharing contribution.
- Comprehensive Health Coverage: Low-cost medical, dental, and vision insurance options.
- Time Off: Personal leave, flexible scheduling, floating holidays, and half-day Fridays.
- Financial Wellness: Student loan matching in our 401(k), and performance-based bonuses.
- Professional Development: Tuition reimbursement and extensive internal training programs.
- Family-Friendly Benefits: New Parent Leave, family building benefits, and childcare resources.
What Kimley-Horn employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Kimley-Horn
Sourced by ZipRecruiter
We are a full-service consulting firm that provides a wide range of infrastructure and land development planning and engineering services to both public and private clients. Though we have more than 6,000 employees in 100+ offices, we pride ourselves on our small company feel. At Kimley-Horn, we do things differently. People--clients and employees--are at the forefront of our business. Clients know we are laser-focused on their success. Employees know our culture and approach to business are built on a desire to see our staff flourish, one and all. Both groups know that with Kimley-Horn, they can expect more and experience better.
Industry
Specialized design services
Company size
5,001 - 10,000 Employees
Headquarters location
Raleigh, NC, US
Year founded
1967