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Gis Machine Learning Jobs (NOW HIRING)

Esri

GIS Solution Engineer - AEC

Redlands, CA · On-site

Esri is a company that specializes in GIS technology, and they are seeking a GIS Solution Engineer ... machine learning concepts • Programming and scripting experience with languages such as Python ...

Esri

GIS Solution Engineer - Airports

Charlotte, NC · On-site

Experience incorporating real-time information streams with existing GIS data and IT infrastructure * Basic understanding of artificial intelligence/machine learning concepts * Programming and ...

Esri

GIS Solution Engineer - AEC

Denver, CO · On-site

The GIS Solution Engineer will leverage their expertise to demonstrate the value of GIS, build ... machine learning concepts • Programming and scripting experience with languages such as Python ...

Core4ce

AI/Machine Learning Specialist

Springfield, VA · On-site +1

Core4ce is seeking a highly experienced AI/Machine Learning Specialist to develop innovative AI ... Apply AI/ML techniques to large-scale and complex data problems, including GEOINT, GIS, geospatial ...

Socket.dev

WI · On-site

Core4ce is seeking a highly experienced AI/Machine Learning Specialist to develop innovative AI ... Apply AI/ML techniques to large-scale and complex data problems, including GEOINT, GIS, geospatial ...

Core4ce

AI/Machine Learning Specialist

Springfield, VA · On-site

$250K - $300K/yr

Core4ce is seeking a highly experienced AI/Machine Learning Specialist to develop innovative AI ... Apply AI/ML techniques to large-scale and complex data problems, including GEOINT, GIS, geospatial ...

Esri

GIS Solution Engineer - AEC

San Antonio, TX · On-site

Experience incorporating real-time information streams with existing GIS data and IT infrastructure * Basic understanding of artificial intelligence/machine learning concepts * Programming and ...

Esri

GIS Solution Engineer - AEC

Redlands, CA · On-site

Experience incorporating real-time information streams with existing GIS data and IT infrastructure * Basic understanding of artificial intelligence/machine learning concepts * Programming and ...

Esri

GIS Solution Engineer - AEC

Denver, CO · On-site

Esri is a leading company in GIS technology, seeking a GIS Solution Engineer to join their team ... machine learning concepts • Programming and scripting experience with languages such as Python ...

Esri

GIS Solution Engineer - Defense

Vienna, VA · On-site

$79K - $130K/yr

Experience incorporating real-time information streams with existing GIS data and IT infrastructure * Basic understanding of artificial intelligence/machine learning concepts * Master's degree in ...

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Gis Machine Learning information

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$14

$28

$48

How much do gis machine learning jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for gis machine learning in the United States is $28.52, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.65 per hour, depending on experience, location, and employer.

What is a GIS Machine Learning job?

GIS Machine Learning jobs involve applying machine learning techniques to geographic information systems (GIS) data to analyze spatial patterns, make predictions, and solve complex geospatial problems. Professionals in this field use algorithms and models to process location-based data, automate mapping tasks, and extract insights from satellite imagery or sensor data. These roles often require skills in programming, data analysis, and an understanding of both GIS principles and machine learning methodologies. GIS Machine Learning specialists can work in industries like urban planning, environmental monitoring, agriculture, and disaster management.

What are common challenges when integrating machine learning models with GIS data, and how can they be addressed?

One common challenge in GIS machine learning roles is handling the complexity and diversity of spatial data, which often comes in various formats and resolutions. Ensuring data quality and alignment is crucial, as inconsistencies can negatively impact model performance. Another challenge is computational efficiency, since spatial datasets can be very large. Collaboration with data engineers and GIS analysts is often necessary to preprocess data effectively and optimize workflows. Staying updated with advancements in geospatial libraries and cloud-based solutions can help address these challenges.

What are the key skills and qualifications needed to thrive as a GIS Machine Learning specialist, and why are they important?

To thrive as a GIS Machine Learning Specialist, you need expertise in geospatial analysis, machine learning algorithms, and a background in GIS-related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, Python, R, and libraries such as scikit-learn and TensorFlow, as well as experience with spatial databases, is crucial. Strong problem-solving, critical thinking, and effective communication skills help translate complex data into actionable insights. These abilities enable professionals to develop innovative geospatial solutions and drive informed decision-making in diverse sectors.

What is the difference between Gis Machine Learning vs GIS Analyst?

AspectGis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related; knowledge of machine learningBachelor's in Geography, GIS, or related; GIS certifications often preferred
Work EnvironmentData science teams, software development, research projectsUrban planning, environmental agencies, government offices
Employer & Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, consulting firms, urban planning departments
Common Search & Comparison IntentUnderstanding technical skills and data modelingAnalyzing spatial data for projects and reports

Gis Machine Learning focuses on applying machine learning techniques to spatial data, often requiring programming and data science skills. In contrast, GIS Analysts primarily work with spatial data analysis, mapping, and reporting within various industries. While both roles involve GIS, Gis Machine Learning emphasizes advanced data modeling, whereas GIS Analysts focus on spatial data management and visualization.

More about Gis Machine Learning jobs

What cities are hiring for Gis Machine Learning jobs?

Cities with the most Gis Machine Learning job openings:

What states have the most Gis Machine Learning jobs?

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What other helpful pages are available for Gis Machine Learning?

Other pages related to Gis Machine Learning:

Infographic showing various Gis Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $59,329 per year, or $28.5 per hour.

GIS Solution Engineer - Airports

Philadelphia, PA • On-site

Esri
Scientific Research and Development Services • 1 - 5K employees
Learn more about Esriexternal

Full-time

Re-posted 20 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Job description

Overview

As a GIS subject matter expert, you're a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.

At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

  • Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Support your team as you help plan and execute sales strategies.
  • Be an expert. Become a subject matter expert of the airport industry as well as a technical expert of ArcGIS. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for your customers anticipating their needs and the technology trends that may impact them.
  • Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver strategies to customers that align Esri technology with their business.
  • Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non-technical customers. Provide best practices related to the use, deployment, and administration of Esri technology. Present at conferences and trade shows.

Requirements

  • 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
  • 1+ years of experience working in or supporting the airport industry
  • Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
  • Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
  • Experience with geodatabases and underlying DBMS technology
  • Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
  • Remarkable presentation, interpersonal, and listening skills
  • Ability to travel domestically or internationally 25-50%
  • Bachelor's degree in geography, computer science, or a related field
  • Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S

Recommended Qualifications

  • Ability to troubleshoot client issues related to Esri application deployment and system architecture
  • Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
  • Experience incorporating real-time information streams with existing GIS data and IT infrastructure
  • Basic understanding of artificial intelligence/machine learning concepts
  • Programming and scripting experience with languages such as Python and JavaScript
  • Master's degree in geography, computer science, or a related field

Questions about our interview process? We have answers.

#LI-KR1

#LI-ONSITE

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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