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MINML in London seeks a Project Geologist to translate model flagged targets into actionable drill targets, building geological cases and guiding field teams.
You will oversee day-to-day field operations, data collection, and supervision of drilling programs, ensuring safety and alignment with technical objectives.
The role blends traditional geology with machine learning, requiring 3+ years in mineral exploration, exposure to diverse deposits, and proficiency in QGIS, ArcGIS, Leapfrog, and ioGAS.
MINML is reimagining exploration. We are building the technology to find the critical minerals the clean energy transition depends on, faster and with more precision than the industry has ever had, and we will never work in oil and gas.
Our proprietary machine learning model analyzes geological, geophysical, and geochemical datasets to generate prospectivity maps and ranked drill targets. We are Cambridge Earth Scientists, and the model is built from the ground up to reflect that: every input feature is grounded in the geological processes that drive ore formation, and every output is explainable.
We raised our pre-seed round and moved beyond proving the model. We are now raising our Seed round. MINML has live client and partner relationships across multiple regions, and we are scaling delivery, owning projects, and exploring our own land. We are a small, ambitious team building something the industry has not seen before.
You will turn ranked ground into drill targets: pulling apart what the model has flagged, building the geological case for and against it, taking the survivors into the field, and bringing mapping, sampling, and assay results back so the next run of the model is better than the last.
You will also be responsible for overseeing the day-to-day coordination of field and drilling activities, data collection and supervision of field teams to ensure programs are delivered safely, efficiently, and in alignment with technical objectives.
This position suits a geologist who is looking to operate at the forefront of the mineral exploration industry where traditional geological techniques meet machine learning.
The ideal candidate will have:
Education:
Requirements:
This position is full-time and based in our London office.