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Remote Marine Engineer Jobs in Missouri (NOW HIRING)

Jobgether

$80K - $110K/yr

... Engineer based in Netherlands ... Join a fully remote, mission-driven climate technology environment where machine learning and ...

ITW Evercoat

Market Development Manager

Saint Louis, MO · On-site +1

$85K - $110K/yr

Market Development Manager (Remote, US Based role) Drive Growth Beyond the Expected We're looking ... Bachelor's degree in Business, Marketing, Engineering, or related field * Proven success in ...

MasterCard

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

Title and Summary Senior AI Engineer Overview The Security Solutions Data Science team develops AI and machine learning capabilities that help protect the global payments ecosystem from fraud and ...

Digital FastForward, Inc.

Senior Innovation Engineer

MO · On-site +1

$95K - $145K/yr

The Senior Innovation Engineer supports development and delivery of digital transformation using Pegasystems capabilities, which include intelligent automation, artificial intelligence, robotic ...

Parsons

Senior Roadway Engineer

Kansas City, MO · On-site +1

$88K - $154K/yr

Parsons is now hiring for a Senior Roadway Engineer to join our Kansas City Transportation team. In this role, you will have the opportunity to expand in your technical skillset, working alongside a ...

Trilon Group

Regional Lead - Rail Engineer

Kansas City, MO · On-site +1

$140K - $200K/yr

Regional Lead - Rail Engineer Department: Transportation Employment Type: Full Time Location: Kansas City, MO Compensation: $140,000 - $200,000 / year Description At Horrocks, we believe the best ...

J.S. Held LLC

Forensic Mechanical Engineer

Kansas City, MO · On-site +1

$130K - $170K/yr

Our engineers routinely perform forensic investigations, provide consultation, and serve as expert witnesses. Our practice areas include commercial, industrial, manufacturing, and residential ...

The Timberline Group

Engineering Tech Lead

Saint Louis, MO · On-site +1

$99K - $131K/yr

Prior experience in a senior engineer or architect role * Experience with Agile / SCRUM methodologies * Expertise in at least one of the following areas: PHP, Service Oriented Architecture, back-end ...

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Showing results 21-40

All JobsMarine Engineer JobsRemote Marine Engineer JobsRemote Marine Engineer Jobs in Missouri

Remote Marine Engineer information

What is a remote marine engineer?

Remote marine engineers are professionals who design, maintain, and repair marine vessels or structures while working from locations away from the ship or offshore site. They leverage digital tools and remote monitoring systems to oversee operations, troubleshoot technical issues, and provide guidance to on-site crews. This role combines traditional marine engineering expertise with advanced communication technology, allowing engineers to support maritime operations from anywhere in the world. Remote marine engineers are increasingly important as the maritime industry adopts more automation and remote management solutions.

What are the key skills and qualifications needed to thrive as a remote marine engineer?

To thrive as a Remote Marine Engineer, you need a solid background in marine engineering principles, strong problem-solving abilities, and a relevant engineering degree or certification. Familiarity with CAD software, remote monitoring systems, and marine-specific diagnostics tools is essential. Outstanding communication, autonomy, and adaptability are crucial soft skills to effectively manage projects and coordinate with teams from a distance. These skills and qualities are important to ensure the safe, efficient, and compliant operation of marine vessels and systems, even when working remotely.

What are some common challenges faced by remote marine engineers and how can they be addressed?

Remote marine engineers often face challenges such as limited access to on-site equipment, time zone differences when collaborating with global teams, and ensuring reliable connectivity for monitoring and troubleshooting. To address these, it's important to develop strong communication skills, become proficient with remote diagnostic tools, and maintain a well-organized workflow. Proactively scheduling regular check-ins with vessel crews and leveraging digital collaboration platforms can also help bridge the gap and ensure smooth project execution.

What is the difference between Remote Marine Engineer vs Marine Technician?

AspectRemote Marine EngineerMarine Technician
CredentialsEngineering degree, certifications like STCW, marine engineering licensesTechnical certifications, vocational training, on-the-job experience
Work EnvironmentDesign, planning, remote troubleshooting, office or home-basedOnboard ships, maintenance yards, or dockside facilities
Employer & IndustryShipping companies, maritime engineering firms, offshore operatorsShip operators, maintenance companies, port authorities

Remote Marine Engineers focus on designing, planning, and remotely troubleshooting marine systems, often working from an office or home. Marine Technicians are hands-on professionals who perform maintenance and repairs onboard ships or at port facilities. Both roles require technical skills, but their work environments and daily tasks differ significantly.

What are the most commonly searched types of Marine Engineer jobs in Missouri?

The most popular types of Marine Engineer jobs in Missouri are:

What are popular job titles related to Remote Marine Engineer jobs in Missouri?

For Remote Marine Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Marine Engineer jobs in Missouri look for?

The top searched job categories for Remote Marine Engineer jobs in Missouri are:

What cities in Missouri are hiring for Remote Marine Engineer jobs?

Cities in Missouri with the most Remote Marine Engineer job openings:

Remote Marine Engineer jobs near you
Infographic showing various Remote Marine Engineer job openings in Missouri as of June 2026, with employment types broken down into 63% Full Time, 25% Part Time, and 12% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Senior Geospatial Machine Learning Engineer

Jobgether

On-site, Remote

$80K - $110K/yr

Full-time

Posted 12 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.
 
 
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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.
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