ZipRecruiter

Log In

2

Hourly Remote Machine Learning Jobs in Missouri (NOW HIRING)

Jobgether

$80K - $110K/yr

Join a fully remote, mission-driven climate technology environment where machine learning and satellite imagery are used to address critical infrastructure challenges. As part of the Vegetation ...

Catawiki

The Data Team, which covers the full data spectrum of Machine Learning, Analysis and Data ... Where you'll be This role is based in Amsterdam but we can offer remote work from the following ...

Kohl's

$95K - $131K/yr

Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. The successful candidate ...

Third-Party Job Posts

Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you will play a key role in building and implementing features that empower lodging customers to make data ...

Jobgether

$159K - $215K/yr

This is a high-impact engineering leadership role at the intersection of machine learning, data ... Fully remote work environment with a globally distributed team. * Opportunity to lead a ...

Jobgether

$100K - $120K/yr

Competitive annual salary of $100,000-$120,000 . * Full-time opportunity with a remote working model . * Opportunity to work on cutting-edge AI, machine learning, and GenAI solutions. * Hands-on ...

New

Bunge North America

Data Scientist

Chesterfield, MO · On-site +1

Translate complex business problems into data-driven analytics and machine learning tasks, then ... Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

Bunge

Data Scientist

Chesterfield, MO · On-site +1

Translate complex business problems into data-driven analytics and machine learning tasks, then ... Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

Jobgether

... remote opportunity for an independent researcher who wants their work to move quickly from the lab into clinical practice. Accountabilities * Design, develop, train, and evaluate machine learning ...

Jobgether

You'll work closely with experienced engineers in a remote, collaborative environment where ... Demonstrated experience taking a machine learning model from raw data through experimentation and ...

Jobgether

Fully remote working model. * Opportunity to work with modern LLM, RAG, machine learning, and AI platform technologies. * Significant technical ownership and influence over enterprise AI architecture ...

Jobgether

$79K - $104K/yr

The role spans managed AWS machine learning services, open-source ML tooling, model serving ... This is a fully remote independent contractor opportunity within a globally distributed team, with ...

Third-Party Job Posts

Remote (Europe) How You'll Make an Impact: As a Staff Software Engineer in Revenue Intelligence ... processing, machine-learning workflows, and production infrastructure. We value pragmatic ...

Jobgether

$49 - $67.25/hr

Knowledge of GPU clusters and techniques for optimizing machine learning workloads. * Working ... Remote working flexibility and significant ownership over your work. * Career growth and continuous ...

New

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 ...

next page

Showing results 1-20

All JobsHourly Machine Learning JobsHourly Remote Machine Learning JobsHourly Remote Machine Learning Jobs in Missouri

Hourly Remote Machine Learning information

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

AspectHourly Remote Machine LearningHourly Remote Data Scientist
Required CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are commonRequires a degree in statistics, data science, or related fields; certifications in data analysis or statistical modeling are beneficial
Work EnvironmentRemote, project-based, often involves developing algorithms and modelsRemote, analytical focus, involves data analysis, visualization, and insights generation
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, tech firms

Hourly Remote Machine Learning professionals focus on developing algorithms and models, often requiring specialized AI knowledge, while Hourly Remote Data Scientists analyze data to generate insights. Both roles are remote, but their core tasks and industry applications differ slightly.

What are the most commonly searched types of Remote Machine Learning jobs in Missouri?

The most popular types of Remote Machine Learning jobs in Missouri are:

What are popular job titles related to Hourly Remote Machine Learning jobs in Missouri?

For Hourly Remote Machine Learning jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Machine Learning jobs in Missouri look for?

The top searched job categories for Hourly Remote Machine Learning jobs in Missouri are:

What cities in Missouri are hiring for Hourly Remote Machine Learning jobs?

Cities in Missouri with the most Hourly Remote Machine Learning job openings:

Hourly Remote Machine Learning jobs near you
Infographic showing various Hourly Remote Machine Learning job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Geospatial Machine Learning Engineer

Jobgether

On-site, Remote

$80K - $110K/yr

Full-time

Posted 20 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Geospatial Machine Learning Engineer based in Netherlands.

Join a fully remote, mission-driven climate technology environment where machine learning and satellite imagery are used to address critical infrastructure challenges.
As part of the Vegetation Modeling team, you will build advanced ML solutions that identify vegetation-related risks before they contribute to wildfires or power outages.
You will work with large-scale geospatial datasets, satellite and aerial imagery, computer vision, and deep learning to create production-ready intelligence products.
The role combines hands-on engineering with technical ownership, giving you the opportunity to lead projects from initial planning through delivery.
You will collaborate with teams across Europe and the Americas, influencing data pipelines, platform architecture, model evaluation, and product delivery.
Your work will directly contribute to improving grid resilience while applying technology to complex environmental and climate challenges.
This is an opportunity for a senior ML professional who wants meaningful technical challenges and measurable real-world impact.

Accountabilities
  • Develop and deploy new vegetation intelligence products using machine learning, deep learning, computer vision, geospatial Python libraries, and large-scale satellite or aerial imagery.
  • Explore geospatial datasets, identify opportunities for model improvement, optimize existing ML solutions, and troubleshoot production issues.
  • Maintain and enhance existing vegetation modeling products to improve accuracy, reliability, scalability, and overall impact.
  • Lead technical projects end-to-end, from defining objectives and planning implementation through execution, delivery, and evaluation.
  • Develop measurement frameworks, evaluation tooling, and performance metrics that enable data-driven decisions about model quality and impact.
  • Monitor production models and investigate performance issues using appropriate observability, monitoring, and debugging tools.
  • Work closely with upstream data ingestion teams to influence data pipelines, processing workflows, and platform architecture.
  • Partner with downstream product and delivery teams to ensure geospatial ML outputs can be effectively integrated into customer-facing solutions.
  • Use tools such as QGIS, Dagster, Sentry, Grafana, or equivalent platforms to analyze data, manage workflows, monitor systems, and diagnose issues.
  • Communicate technical findings, project progress, model performance, and business impact clearly to technical and non-technical stakeholders.
  • Contribute to engineering and ML best practices across a distributed team working across Europe and the Americas.
  • Help translate complex environmental and geospatial problems into scalable machine learning solutions that support climate resilience and critical infrastructure.
Requirements:
  • 5+ years of professional experience as a Machine Learning Engineer, Data Scientist, or in a closely related role, with demonstrated experience building and deploying production machine learning or deep learning models.
  • Proven experience developing computer vision or deep learning models using satellite or aerial imagery.
  • Strong proficiency in Python and geospatial Python libraries such as rasterio, geopandas, shapely, GDAL, or equivalent technologies.
  • Solid understanding of geospatial data structures, formats, processing workflows, and analysis techniques.
  • Professional experience with ML and deep learning frameworks such as PyTorch, TensorFlow, scikit-learn, or comparable tools.
  • Experience designing, implementing, or maintaining data pipelines using orchestration and workflow tools such as Dagster, Airflow, dbt, or equivalent systems.
  • Experience with QGIS or comparable geospatial visualization and analysis software.
  • Strong understanding of model evaluation, performance measurement, monitoring, and debugging in production environments.
  • Ability to work effectively with large-scale, complex datasets and translate technical findings into practical product or business decisions.
  • Strong project ownership skills, with the ability to independently drive initiatives from planning through execution and delivery.
  • Excellent communication and collaboration skills, particularly in distributed and cross-functional environments.
  • Experience with multispectral or hyperspectral satellite imagery is a strong advantage.
  • Background in vegetation analysis, forestry, agriculture, environmental monitoring, or related geospatial applications is highly valued.
  • Familiarity with observability and monitoring tools such as Grafana, Sentry, Prometheus, or similar platforms is a plus.
  • A genuine interest in climate technology, environmental applications, and using advanced technology to solve complex real-world problems is highly desirable.
  • Candidates should be comfortable working in a fully remote environment and collaborating across multiple time zones.
Benefits:
  • Fully remote working environment.
  • Opportunity to work on technology with direct applications in climate action, wildfire prevention, and electrical grid resilience.
  • Meaningful ownership of machine learning products and the opportunity to lead projects from concept through production.
  • Collaboration with a geographically distributed team spanning Europe and the Americas.
  • Exposure to advanced satellite imagery, geospatial data, computer vision, and large-scale machine learning systems.
  • High-impact technical challenges involving real-world environmental and infrastructure problems.
  • Competitive senior-level compensation package expected, commensurate with experience.
  • Opportunity to contribute to the development of production ML systems rather than purely experimental or research-focused models.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
#LI-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply