$94K - $124K/yr
... forestry, energy infrastructure, or utility-related technologies. * Familiarity with observability tools such as Sentry and Grafana. * Previous experience in climate tech, geospatial AI, remote ...
$94K - $124K/yr
... forestry, energy infrastructure, or utility-related technologies. * Familiarity with observability tools such as Sentry and Grafana. * Previous experience in climate tech, geospatial AI, remote ...
Remote Utility Forestry information
What is a remote utility forestry?
A Remote Utility Forestry job involves managing and maintaining vegetation near utility lines, such as power lines, often using remote sensing technology or working from remote locations. These professionals assess tree growth, identify hazards, and make recommendations or take action to prevent vegetation from interfering with utility infrastructure. The work may include using GIS mapping, drones, and other digital tools to monitor large or hard-to-reach areas. Remote Utility Foresters play a crucial role in preventing outages, wildfires, and ensuring public safety. This position often allows for flexible, remote work, with field visits as needed.
What is the difference between Remote Utility Forestry vs Remote Utility Vegetation Management?
| Aspect | Remote Utility Forestry | Remote Utility Vegetation Management |
|---|---|---|
| Certifications | Forestry certifications, GIS, safety training | Vegetation management certifications, pesticide licenses, GIS |
| Work Environment | Forestry sites, remote areas, fieldwork | Power lines, utility corridors, remote and urban areas |
| Industry Usage | Forest management, conservation, utility line clearance | Power line clearance, vegetation control, utility maintenance |
Remote Utility Forestry focuses on forest management, conservation, and working in forested areas, often involving tree planting and forest health assessments. Remote Utility Vegetation Management centers on maintaining utility lines by controlling vegetation growth near power lines, often involving pesticide use and clearance activities. While both roles require similar certifications and involve remote work, their primary focus and work environments differ, catering to distinct aspects of utility and environmental management.
What are some common challenges faced by professionals in remote utility forestry roles, and how can they be addressed?
Remote utility forestry professionals often encounter challenges such as working in isolated locations, ensuring effective communication with utility companies and field teams, and adapting to changing environmental conditions. Managing vegetation around utility lines requires strong problem-solving skills and adherence to strict safety protocols. To address these challenges, many teams utilize advanced mapping technology, regular virtual meetings, and ongoing training to stay updated on safety standards and environmental regulations, fostering a collaborative and supportive work environment.
What are the key skills and qualifications needed to thrive as a remote utility forestry professional?
To thrive as a Remote Utility Forestry professional, you need a solid background in forestry, arboriculture, or environmental science, often supported by relevant certifications such as ISA Arborist or Utility Specialist. Familiarity with GIS mapping software, remote sensing tools, and vegetation management systems is typically required. Strong communication, attention to detail, and problem-solving skills help professionals coordinate with utility companies and ensure regulatory compliance. These skills are critical for maintaining utility safety, preventing outages, and supporting sustainable vegetation management in remote areas.
What are the most commonly searched types of Utility Forestry jobs in Missouri? The most popular types of Utility Forestry jobs in Missouri are:
What are popular job titles related to Remote Utility Forestry jobs in Missouri? For Remote Utility Forestry jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Utility Forestry jobs in Missouri look for? The top searched job categories for Remote Utility Forestry jobs in Missouri are:
What cities in Missouri are hiring for Remote Utility Forestry jobs? Cities in Missouri with the most Remote Utility Forestry job openings:
$94K - $124K/yr
Full-time
Posted 4 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.
We are seeking a Senior Geospatial Machine Learning Engineer to develop advanced AI solutions that transform satellite and environmental data into actionable insights.
This role sits at the intersection of machine learning, geospatial technology, and climate innovation, helping solve complex challenges impacting critical infrastructure.
You will work on building and improving algorithms that analyze vegetation, assess risks, and support smarter decision-making for energy systems.
The position offers the opportunity to own impactful projects from experimentation through production while collaborating with multidisciplinary engineering and scientific teams.
You will contribute to the evolution of data-driven products using cutting-edge ML techniques, remote sensing data, and geospatial technologies.
This is an ideal opportunity for an experienced engineer passionate about applying AI to create meaningful environmental impact.
Accountabilities:
The Senior Geospatial Machine Learning Engineer will design, develop, and improve machine learning solutions that leverage geospatial data to deliver innovative environmental intelligence products. This role requires strong technical ownership, collaboration, and the ability to translate complex data challenges into practical solutions.
- Develop new geospatial intelligence products using Python-based geospatial libraries, machine learning, and deep learning techniques.
- Improve existing solutions through data exploration, model optimization, debugging, and performance enhancements.
- Work with satellite and aerial imagery, raster and vector datasets, and geospatial workflows to solve real-world challenges.
- Lead technical projects from planning and experimentation through implementation, delivery, and stakeholder communication.
- Build tools and processes to evaluate model performance, product impact, and data-driven prioritization.
- Collaborate with data engineering, product, platform, and delivery teams throughout the full machine learning product lifecycle.
- Contribute to technical direction, engineering practices, and team culture within a fast-growing environment.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
The ideal candidate is an experienced machine learning or geospatial engineer with strong expertise in Python, scientific computing, and applied AI. They should be comfortable working independently, leading projects, and applying advanced technology to environmental and infrastructure challenges.
- 8-10+ years of experience in machine learning engineering, geospatial engineering, remote sensing, or a closely related technical field.
- Strong Python programming skills with hands-on experience using geospatial libraries such as GDAL, Rasterio, Shapely, Fiona, and GeoPandas.
- Experience with scientific Python tools including NumPy, SciPy, scikit-learn, and Pandas.
- Practical experience developing deep learning solutions using frameworks such as PyTorch and/or TensorFlow.
- Strong understanding of satellite imagery, aerial imagery, and geospatial raster/vector data processing.
- Experience with workflow orchestration tools such as Dagster or similar platforms.
- Ability to independently lead initiatives, manage technical projects, and communicate results effectively.
- Passion for climate technology and using machine learning to address complex environmental problems.
Nice-to-have qualifications:
- Experience with vegetation science, forestry, energy infrastructure, or utility-related technologies.
- Familiarity with observability tools such as Sentry and Grafana.
- Previous experience in climate tech, geospatial AI, remote sensing, or environmental data companies.
- Fully remote work environment with flexibility across eligible locations.
- Opportunity to work on impactful climate technology projects using AI and satellite data.
- Ability to influence technical direction, processes, and product development within a growing organization.
- Collaboration with a diverse international team across engineering, product, design, and platform functions.
- Exposure to cutting-edge machine learning, geospatial technologies, and real-world applications.
- Inclusive culture focused on solving meaningful problems through technology.
- Opportunity for professional growth in a mission-driven environment.
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?
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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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