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Gis Machine Learning Jobs in Houston, TX (NOW HIRING)

Mclaurin Aerospace

GIS Developer

Houston, TX · On-site +1

Employ GIS and remote sensing techniques to Earth, Moon, and other planetary image data in support ... Machine learning, deep learning, neural networks * Mission science integration and operations

Ferrovial

IT Solutions Lead

The Woodlands, TX

Support the research and implementation of Machine Learning and AI capabilities within the organization * Lead development of GIS-based applications using Esri ArcGIS to support business operations

Ferrovial

IT Solutions Lead

The Woodlands, TX · On-site

Support the research and implementation of Machine Learning and AI capabilities within the organization * Lead development of GIS-based applications using Esri ArcGIS to support business operations

The Jupiter Group

Lead Data Engineer

Houston, TX · On-site

$109K - $131K/yr

... machine learning and AI initiatives. * Define data quality standards, validation rules, lineage ... GIS, ERP, and engineering applications is highly desirable.

All JobsGis Machine Learning JobsGis Machine Learning Jobs in Houston, TX

Gis Machine Learning information

See Houston, TX salary details

$13

$27

$46

How much do gis machine learning jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for gis machine learning in Houston, TX is $27.24, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $32.12 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.

What are popular job titles related to Gis Machine Learning jobs in Houston, TX? For Gis Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Houston, TX look for? The top searched job categories for Gis Machine Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Gis Machine Learning jobs? Cities near Houston, TX with the most Gis Machine Learning job openings:
Gis Machine Learning jobs near you

GIS Developer

Mclaurin Aerospace

Houston, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you!

We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA's pursuits in deep space exploration.

We have an exciting opportunity for a GIS Developer to join our JETS II contract team at NASA Johnson Space Center in Houston, TX.

If selected you will:

  • Employ GIS and remote sensing techniques to Earth, Moon, and other planetary image data in support of International Space Station (ISS) and Artemis missions
  • Create, manage, and deploy data pipelines for imagery and geospatial products into web GIS, ArcGIS Enterprise, ArcPortal, and NASA internal applications
  • Develop planetary and Earth-based cartography products for NASA's human space flight missions and operations
  • Develop and manage geodatabases, versioning, data integrity, data catalogs, metadata and other related data information
  • Utilize and recommend automation techniques for dataset and imagery processing
  • Participate in science and imagery mission operations as needed
  • Develop and implement geospatial and data science QA/QC processes
  • Provide science services and technology products to a range of human exploration organizations including Artemis, Gateway, Orion, the lander/ascent systems, spacesuits, EVA, and ISS
  • Interact with scientists, engineers, and managers in a highly dynamic and occasionally time critical environment
  • Perform other duties as required

Qualifications:

This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised.

  • Typically requires a bachelor's degree or equivalent certification in a related area and a minimum of 5 years of experience in the field or in a related area.
  • Geospatial database management, ArcGIS Online, Esri Portal, open-source GIS software, web and desktop-based GIS
  • Strong GIS programming skills
  • Experience with Earth and planetary remote sensing
  • Proficient computer skills (i.e. Microsoft Office suite, Adobe products)
  • Excellent oral and written communication skills and will be expected to effectively interact with teammates, customers, and management at all levels
  • Ability to prepare written documents and presentation to verbally present at various meetings
  • Ability to develop innovative and creative work ideas and work without specific tasking

Preferred Qualifications:

  • BS in geoscience, lunar science, planetary science, image science, GIS, remote sensing, computational science, or relevant science fields with applicable experience
  • Masters in geoscience, lunar science, planetary science, image science, GIS, remote sensing, computational science or relevant science fields with applicable experience
  • 5+ years of work experience
  • Software scripting, command line skills, automation of tasks, programming language - Machine learning, deep learning, neural networks
  • Mission science integration and operations
  • Previous work with NASA and/or in the field of planetary geology

Benefits

  • Competitive pay
  • Positive work-life balance
  • 100% Employer paid insurance including: Medical, dental, vision, life insurance, accidental death and dismemberment, short-term disability, and long-term disability
  • 11 paid holidays annually
  • Generous PTO
  • 401k after 12 months of service with employer match
  • Education assistance
  • Relocation assistance (if applicable)

Mclaurin is a unique organization with a special focus on combining the best features of research and industry in order to foster innovation. Our organization strongly supports research, publication, and engagement with the academic community. We encourage our employees to remain on the cutting edge of new developments in their respective disciplines.

US Citizenship and the ability to pass a comprehensive security background investigation is required.

Mclaurin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

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