Senior Geospatial Machine Learning Engineer
Clera
Senior Geospatial Machine Learning Engineer at Clera is a full time role based in Remote. Listed skills: Engineering. It was published on 7 August 2026 and was open at last check.
| Role | Senior Geospatial Machine Learning Engineer |
|---|---|
| Company | Clera |
| Location | Remote |
| Employment type | Full Time |
| Skills listed | Engineering |
| Published | 7 August 2026 |
| Status | Open at last check |
About the Role
Join a fast-growing, mission-driven climate tech company using AI and advanced satellite imagery to help electric utilities manage vegetation risks — preventing wildfires, reducing outages, and building a more resilient energy grid. You'll be part of a multidisciplinary Vegetation Modeling team working at the intersection of geospatial data, machine learning, and real-world environmental impact.
As a Senior Geospatial Machine Learning Engineer, you'll spend most of your time working within small, focused groups to experiment with, build, and improve algorithms that help understand how vegetation affects utility infrastructure. Past work has included co-registering imagery, locating critical energy infrastructure, and identifying tree species, heights, and health. Current work spans maintaining and improving these solutions as well as developing new features to assess wildfire risk and evaluate vegetation management strategies.
What You'll Do
- Develop new vegetation intelligence products using standard geospatial Python libraries alongside machine learning and deep learning tools.
- Support existing products through data exploration, model improvements, and bug fixes — working regularly with QGIS, Dagster, Sentry, and Grafana.
- Lead projects and initiatives end-to-end: own planning, execution, and delivery, ensuring the value of contributions is clearly communicated to stakeholders across the organisation.
- Build tooling and processes to measure the performance and business value of your team's work, supporting data-driven prioritisation decisions.
- Collaborate closely with upstream data ingestion teams and downstream delivery/refinement teams throughout the full scientific product lifecycle.
- Contribute to shaping team culture, processes, and technical direction at an early-stage, high-growth company.
What We're Looking For
Required
- 8–10+ years of relevant experience in machine learning engineering, geospatial engineering, or a closely related field.
- Strong proficiency in Python, with hands-on experience using geospatial libraries: GDAL, Rasterio, Shapely, Fiona, GeoPandas.
- Experience with scientific Python tools: NumPy, SciPy, scikit-learn, Pandas.
- Practical experience with deep learning frameworks: PyTorch and/or TensorFlow.
- Comfortable working with satellite or aerial imagery and raster/vector geospatial datasets.
- Experience with workflow orchestration tools (e.g. Dagster or similar).
- Ability to lead projects independently and communicate technical work clearly to non-technical stakeholders.
- Passion for climate action and solving complex environmental challenges through technology.
Nice to Have
- Familiarity with vegetation science, forestry, or utility/energy infrastructure domains.
- Experience with observability tooling such as Sentry or Grafana.
- Background working at a climate tech, geospatial AI, or remote sensing company.
Location & Work Arrangement
- Fully remote — primary hiring location is Portugal, with team members also based across Europe and the Americas.
- Visa sponsorship is not available for this role.
About the Team & Culture
The team is 15+ nationalities strong and includes outdoor enthusiasts, musicians, artists, athletes, and adventurers. What brings everyone together is a deep commitment to solving complex problems and using technology as a force for good. You'll work cross-functionally with product, design, engineering, and platform teams — and have a genuine opportunity to influence the direction and culture of the organisation as it scales.
Create your free OnJob profile to apply — we'll take you to Clera's application after sign-up. · Posted 7 Aug 2026.
Senior Geospatial Machine Learning Engineer at Clera — questions answered
What does the Senior Geospatial Machine Learning Engineer role at Clera pay?
Clera does not publish a salary on this Senior Geospatial Machine Learning Engineer listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Senior Geospatial Machine Learning Engineer role at Clera based?
Clera lists this Senior Geospatial Machine Learning Engineer role in Remote, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Clera before you apply.
What skills does the Senior Geospatial Machine Learning Engineer role at Clera require?
The Senior Geospatial Machine Learning Engineer at Clera listing names Engineering. Those are the skills the employer put on the posting itself, so they are the ones worth matching in your profile and covering first in an interview.
Is the Senior Geospatial Machine Learning Engineer role at Clera still open?
The Senior Geospatial Machine Learning Engineer posting at Clera was open at OnJob's last check of the employer's careers page, having been published on 7 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Senior Geospatial Machine Learning Engineer role at Clera?
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