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Remote Machine Learning Jobs in St Louis, MO (NOW HIRING)

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$160K - $190K/yr

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Proficient in using advanced analytics and machine learning frameworks, including Apache Spark ...

GRVTY

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

$180K - $210K/yr

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

Booz Allen Hamilton, Inc.

Data Engineer

O Fallon, IL · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0245880 Location: O'Fallon,IL,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

The Timberline Group

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

The data in the Warehouse will serve as a foundation for Reporting, Machine Learning Analysis and Generative AI.The ideal candidate will be a strong technical resource with effective communication ...

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Showing results 21-40

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in St. Louis, MO

Remote Machine Learning information

See St Louis, MO salary details

$24.8K

$41.4K

$85.6K

How much do remote machine learning jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote machine learning in St. Louis, MO is $41,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in St. Louis, MO?

The most popular types of Machine Learning jobs in St. Louis, MO are:

What are popular job titles related to Remote Machine Learning jobs in St. Louis, MO?

For Remote Machine Learning jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in St. Louis, MO look for?

The top searched job categories for Remote Machine Learning jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Remote Machine Learning jobs?

Cities near St. Louis, MO with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $41,401 per year, or $19.9 per hour.

Imagery Scientist (EO) - Senior

Saint Louis, MO • On-site, Remote

GRVTY
See more jobs at GRVTYexternal

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Key responsibilities

  • Assist the EO lead in conducting assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms

  • Assess potential differences in metadata, data format, and data structure characteristics in regard to changes to databases, schemas, APIs, and other ETL related processes for data ingestion and movement

  • Determine how to acquire, pre-process, and standardize new data to match existing data standards or transform it into a usable state for labeling and model testing

Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced imagery scientist to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation.  The ideal candidate is an expert imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.

What You'll be Owning

  • Assist the EO lead in conducting assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
  • Assess potential differences in metadata, data format, and data structure characteristics in regard to changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
  • Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains
  • Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • 4+ years of expert EO imagery exploitation and imagery science experience with understanding of collection, phenomenology, image formation process, and exploitation products.
  • Demonstrated experience in:
    • EO collection systems
    • Remote sensing phenomenology
    • Image formation processes
    • Exploitation products and methodologies
  • Experience exploiting EO imagery to:
    • Detect
    • Identify
    • Locate objects of interest
  • Experience developing and evaluating:
    • Algorithms
    • Scientific workflows
    • Exploitation methodologies
  • Experience automating scientific processing workflows
  • Experience developing and evaluating:
    • Algorithms
    • Automated workflows
    • Scientific exploitation methods
  • Understanding of:
    • Remote sensing principles
    • EO imagery processing
    • Advanced exploitation methods
    • Sensor/platform limitations and advantages
  • Proven ability to communicate technical concepts to:
    • Technical audiences
    • Non-technical stakeholders
    • Intelligence users

What Would be Nice to Have

  • Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems

Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

  • The pay range for this position is: $160,000 - $190,000

Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

Virginia Pay Range
$160,000—$190,000 USD

Why Choose GRVTY

The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

•    Robust health plan including medical, dental, and vision  

•    Health Savings Account with company contribution  

•    Annual Paid Time Off and Paid Holidays  

•    Paid Parental Leave   

•    401k with generous company match  

•    Training and Development Opportunities  

•    Award Programs  

•    Variety of Company Sponsored Events

EEO Statement

GRVTY, 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, or status as a protected veteran and will not be discriminated against on the basis of disability. 

Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details.  A member of the HR team will respond to your request within 2 business days. 

Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)  

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.