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Machine Learning Geospatial Jobs in Illinois (NOW HIRING)

Senior Robotics Engineer

Chicago, IL

$107K - $147K/yr

It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic - Excited about learning the ag industry, understanding what's important to farmers and ...

Senior Robotics Engineer

Chicago, IL · On-site

$90 - $120/hr

It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic - Excited about learning the ag industry, understanding what's important to farmers and ...

It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic Excited about learning the ag industry, understanding what's important to farmers and ...

Robotics Engineer

Chicago, IL · On-site

$80 - $120/hr

It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag‑gnostic - Excited about learning the ag industry, understanding what's important to farmers ...

Senior Robotics Engineer

Chicago, IL · On-site

$107K - $147K/yr

It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic Excited about learning the ag industry, understanding what's important to farmers and ...

Senior Robotics Engineer

Chicago, IL · On-site

$107K - $147K/yr

It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic - Excited about learning the ag industry, understanding what's important to farmers and ...

It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic - Excited about learning the ag industry, understanding what's important to farmers and ...

It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic - Excited about learning the ag industry, understanding what's important to farmers and ...

It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Experience working with geospatial data * Experience working with Docker-based software

It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Experience working with geospatial data * Experience working with Docker-based software

Showing results 41-60

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 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 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 job categories do people searching Machine Learning Geospatial jobs in Illinois look for?

The top searched job categories for Machine Learning Geospatial jobs in Illinois are:

What cities in Illinois are hiring for Machine Learning Geospatial jobs?

Cities in Illinois with the most Machine Learning Geospatial job openings:

Infographic showing various Machine Learning Geospatial job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 58% Full Time, 34% Part Time, 1% Temporary, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist - Mid Level active TS/SCI

Leidos

Glen Carbon, IL • On-site

$59K - $106K/yr

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

78th of 494 rated business services


Job description

Description

Leidos is actively seeking a Data Scientist to join our growing team in St. Louis, MO.

This interesting work requires staff qualified to have a basic understanding of GEOINT integration work but also act as a Data Scientist for NGA. The work requires a basic understanding of GEOINT from collection, exploitation, analysis and product delivery capabilities.

Primary Responsibilities

  • Provide data management and automation support to a specialized imagery and geospatial analysis division within a government or enterprise organization.

  • Assist with developing a modernized data management workflow supporting multiple organizational programs.

  • Collaborate with senior data scientists, database developers, and analysts to implement and sustain updated database processes and workflows.

  • Research and document existing data management practices, procedures, and system dependencies.

  • Help design improved workflows with automation incorporated from the outset.

  • Ensure new workflows integrate effectively with modern database applications and enterprise-level application programming interfaces.

  • Enhance existing models and simulations involving production, monitoring, and change-detection data.

  • Support additional data management and modernization initiatives as required.

  • Develop code and scripts, including the conversion of legacy applications written in multiple programming languages into Python-based solutions.

  • Implement enterprise database management standards, processes, and controls.

  • Automate repetitive data preparation, validation, transformation, and reporting tasks.

  • Deliver technical solutions that apply industry best practices to modernize existing operational processes.

  • Conduct data investigations using applied statistics, algorithm development, and collaboration with subject-matter experts.

  • Translate complex analytical findings and operational realities into clear explanations for non-technical audiences.

  • Create visualizations and dashboards from diverse data sources that are accessible and understandable to non-technical users.

Basic Qualifications

  • 3-6 years’ experience in programming languages such as Python or R (statistical analysis), data preprocessing, and basic machine learning algorithms.

  • Active TS/SCI with willingness to be approved for a Polygraph

  • Bachelor’s Degree in related field (additional years of experience can be considered in lieu of degree)

  • Working knowledge of ArcGIS, ArcSDE, ArcPro

  • Familiarity with: common data science libraries and frameworks, plus:

    • PostgreSQL, Postgis, PgAdmin

    • Application programming interfaces (APIs)

Preferred Qualifications

  • Experience with workflow management systems, such as Flowable, and

  • Working knowledge of MapInfo/ MapBasic GIS/ database software

  • Experience with data visualization software such as Tableau

#GEOINTMISSION

 #NSBA

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 14, 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 $59,150.00 - $106,925.00

The Leidos pay range for this job level is a general guideline only and 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.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.


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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