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Machine Learning Geospatial Jobs in Chicago, IL (NOW HIRING)

In this role, you will combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges. You will develop ...

Experience with geospatial, mapping, sensor or high-volume event data. * Familiarity with GPU workloads, model serving or ML evaluation systems. * Experience supporting AI or simulation products in ...

Experience with geospatial, mapping, sensor or high-volume event data. * Familiarity with GPU workloads, model serving or ML evaluation systems. * Experience supporting AI or simulation products in ...

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

... Science, AI, Machine Learning, or related field. - 3-5 years of experience in deep learning ... geospatial tooling, or synthetic-data production flows - Experience with Unreal Engine or related ...

The solutions we create apply exciting technologies such as geospatial visualization and analytics ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

The solutions we create apply exciting technologies such as geospatial visualization and analytics ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

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

$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 ...

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

$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 ...

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Showing results 1-20

Machine Learning Geospatial information

See Chicago, IL salary details

$19

$30

$48

How much do machine learning geospatial jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for machine learning geospatial in Chicago, IL is $30.03, according to ZipRecruiter salary data. Most workers in this role earn between $23.27 and $34.90 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 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 Chicago, IL look for?

The top searched job categories for Machine Learning Geospatial jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Machine Learning Geospatial jobs?

Cities near Chicago, IL with the most Machine Learning Geospatial job openings:

Infographic showing various Machine Learning Geospatial job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $62,455 per year, or $30 per hour.

Data Scientist, Consultant (Utilities)

Guidehouse

Chicago, IL

$89K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago


Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


Clearance Required:

None

What You Will Do

  • Perform data analysis and develop analytical solutions using tools such as Python, R, Snowflake, SQL, Databricks, Power BI, GIS, and other modern analytics platforms to address complex client business challenges.

  • Partner with utility clients and Guidehouse subject matter experts to define business objectives, analytical approaches, technical requirements, and actionable recommendations.
  • Design, develop, test, and implement data, analytics, and AI-enabled solutions that support utility clients' business objectives.
  • Translate business needs into scalable analytical workflows, data products, dashboards, visualizations, and decision-support tools.
  • Present findings and recommendations to technical and non-technical audiences, helping clients gain confidence in data-driven decisions.

What You Will Need

  • Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or a related quantitative discipline

  • ONE (1) or more years of professional experience applying data analytics, business intelligence, data science, or related quantitative techniques to solve complex business problems

  • Experience with analytical and data management tools such as Python, SQL, R, Databricks, Power BI, Tableau, GIS, or similar technologies.

  • Experience working with large and complex datasets and developing analytical solutions from concept through implementation.

What Would Be Nice To Have

  • Experience supporting electric, gas, water, or other energy-sector organizations.

  • Strong communication and consulting skills, including the ability to translate technical concepts into business insights and recommendations.

  • Ability to manage multiple priorities while collaborating effectively with clients, stakeholders, and multidisciplinary teams.

  • Familiarity with utility business functions such as customer programs, DERs, electrification, asset management, operations, regulatory planning.

  • Experience with cloud-based analytics platforms, data engineering, AI, machine learning, geospatial analytics, or optimization techniques.

  • Experience developing dashboards, data products, or decision-support applications for business users.

  • Experience working in a consulting or client-facing environment.

  • Master's degree or relevant certifications in analytics, cloud technologies, or data engineering.

#LI-DNI

The annual salary range for this position is $89,000.00-$148,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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