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Machine Learning Geospatial Jobs in Saint Louis, MO

Experience implementing machine learning solutions * Advanced experience with geospatial analysis and data manipulation * Deep understanding of NGA systems including Custom Media Services, NSG ...

Experience implementing machine learning solutions * Advanced experience with geospatial analysis and data manipulation * Deep understanding of NGA systems including Custom Media Services, NSG ...

Experience implementing machine learning solutions * Advanced experience with geospatial analysis and data manipulation * Deep understanding of NGA systems including Custom Media Services, NSG ...

Experience implementing machine learning solutions * Advanced experience with geospatial analysis and data manipulation * Deep understanding of NGA systems including Custom Media Services, NSG ...

This position supports the Geospatial Services & Solutions business area to provide high-quality ... Build predictive models and machine learning algorithms. * Combine models through ensemble modeling.

Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be ... Experience applying machine learning or artificial intelligence techniques to intelligence problems.

Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be ... Experience applying machine learning or artificial intelligence techniques to intelligence problems.

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Machine Learning Geospatial information

See Saint Louis, MO salary details

$18

$28

$45

How much do machine learning geospatial jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for machine learning geospatial in Saint Louis, MO is $28.34, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $32.93 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 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 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 popular job titles related to Machine Learning Geospatial jobs in Saint Louis, MO? For Machine Learning Geospatial jobs in Saint Louis, MO, the most frequently searched job titles are:
What job categories do people searching Machine Learning Geospatial jobs in Saint Louis, MO look for? The top searched job categories for Machine Learning Geospatial jobs in Saint Louis, MO are:
What cities near Saint Louis, MO are hiring for Machine Learning Geospatial jobs? Cities near Saint Louis, MO with the most Machine Learning Geospatial job openings:
Infographic showing various Machine Learning Geospatial job openings in Saint Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $58,943 per year, or $28.3 per hour.

Technology Support Officer (Regulatory Policy & Intel 3) - 29170

Huntington Ingalls Industries

Saint Louis, MO • On-site

$91K - $130K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Huntington Ingalls Industries rating

7.5

Company rating: 7.5 out of 10

Huntington Ingalls Industries

Based on 147 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,130 frontline employees who took The Breakroom Quiz


Job description

Requisition Number: 29170
Required Travel: 0 - 10%
Employment Type: Full Time/Salaried/Exempt
Anticipated Salary Range: $91,631.00 - $130,000.00
Security Clearance: Ability to Obtain
Level of Experience: Mid HI
This opportunity resides with All-Domain Operations (ADO), a business group within HII's Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations.
HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe.
Leadership Mindset at HII - Mission Technologies
Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes-regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities:
  • Know & Grow Your People - Commit to learning and supporting team success.
  • Build Relationships - Communicate openly, collaborate well, and build trust.
  • Take Ownership - Deliver on commitments and take pride in your work.
  • Customer First - Focus on the mission and those we serve.
  • Shape the Future - Bring ideas, curiosity, and continuous improvement.
  • Act with Urgency - Take initiative and follow through with purpose.

These capabilities guide how all employees contribute to our shared success across Mission Technologies.
Job Description
Position Summary: Technology Support Officer
Huntington Ingalls Industries: Mission Technologies Division is currently seeking an Intellectual Property (IP) Technical Specialist to support our work with the National Geospatial-Intelligence Agency. Our ideal candidate is a subject matter expert with experience in computer architecture, artificial intelligence, machine learning, deep learning, computer vision, software engineering, and other computer science and computer engineering fields who can assess inventions in these fields for patentability. The Intellectual Property (IP) Technical Specialist will support the NGA Office of Research and Technology Applications (ORTA) and the Office of General Counsel (OGC) with patent assessments, preparation of patent applications related to inventions, and drafting responses to U.S. Patent and Trademark Office (USPTO) actions. This position will be performed at NGA offices at either St Louis, MO, or Springfield, VA. Remote work capabilities are authorized on an as-needed basis. Can be modified to a part-time position, if required.
Essential Job Responsibilities
  • Conducts patent searches to assess the novelty and patentability of computer architecture, artificial intelligence, and other computer science and computer engineering inventions.
  • Conducts interviews with inventors to capture all required aspects of technologies submitted for the ORTA to make patenting recommendations.
  • Collaborate with inventors and OGC to develop patent prosecution strategy.
  • Works closely with OGC to prepare patent applications, including drafting specifications, drawings, and claims, and ensures technical accuracy of the subject matter in the patent applications.
  • Provides technical and legal research and analysis to assist OGC in support of NGA submissions pending before the USPTO.
  • Assists OGC with preparing responses to USPTO actions and docket management.
  • Ensures procedures are in place to classify and maintain records.
  • Interprets and enforces all documentation formatting, standards, policies, and operating procedure requirements

Minimum Qualifications
  • 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience.
  • 3 years experience related to job responsibilities listed above with Bachelors in related field; 0+ years relevant experience with Masters in related field; 0 years experience with PhD in related field.
  • B.S. in Computer Science, Computer Engineering, or closely related field.
  • Must be a US Citizen (required) and have the ability to obtain a clearnace with the US DoD
  • Able to pass an HSPD-12 background investigation.
  • Demonstrated technical expertise in one or more of the following: computer architecture, artificial intelligence (AI), machine learning, deep learning, computer vision, software engineering, programming, etc.
  • Ability to work independently with minimal guidance.
  • Demonstrated ability of superior writing and analytical skills.
  • Ability to orally communicate with inventors and draft technical specifications.

Preferred Requirements
  • US TS/SCI security clearance
  • Candidates located near NGA offices in either St Louis, MO, or Springfield, VA.
  • Submissions to technical journals and authoring White Papers in the computer science, engineering or related fields.
  • Ability to work in a fast-paced environment with quick turn-around times and with minimal supervision.
  • Familiarization with US Patent Laws and regulations.

Physical Requirements
  • May require working in an office

The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills.
Meet HII's Mission Technologies Division
Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you.
To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072
HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.
Why HII
We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career.
Together we are working to ensure a future where everyone can be free and thrive.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.
Do You Need Assistance?
If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

Working at Huntington Ingalls Industries

About Huntington Ingalls Industries, in their own words

From Huntington Ingalls Industries

Our 44,000-strong team includes skilled tradespeople; artificial intelligence and machine learning experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large employers, we are a values and ethics driven organization that puts people's safety and well-being first. Here you'll find a collaborative environment, competitive benefits, and valuable educational and training programs that span our shipbuilding apprentice schools in Virginia and Mississippi to tuition reimbursement programs that support continual career growth at every stage of your career.

Our values of integrity, safety, respect, engagement, responsibility and performance are the foundation of HII's ethical culture that inspires employees to do the right thing each day, regardless of the circumstances.


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