Machine Learning Engineer

London, 4 or 5 days onsite

Upto £120,000 + meaningful equity

To meet global demand, the world needs to mine as much copper in the next 25 years as in all of human history. Current methods cannot scale to this challenge. We are a venture-backed university spin-out developing frontier technology to fix this, starting with the core of every mining company: the understanding of the orebody

.
Using explainable AI and value-of-information analysis, our uncertainty-aware models map subsurface resources from multimodal data. This allows mining companies to make faster, better-evidenced drilling decisions, halving costs and accelerating time to productio

n.
The R

oleAs our Founding Engineer, you will build and own the pipelines that move data through our system and the infrastructure that turns our models into a reliable, auditable product. You will have full ownership over how our data and ML platform architecture evolves as we sca

le.
Key Responsibili

• tiesRun MLOps by building and maintaining infrastructure for scalable training and inference, frictionless ML development, and reproducible, traceable mo
• delsShip clean, easy-to-debug pipeline code that is highly extensible for new workf
• lowsAlign with product engineers to ensure seamless integration of new models into the pro

duct
Abou

• t YouMission-driven and energized by solving hard, ambiguous problems in foundational indus
• triesSelf-directing with a proven track record of executing projects end-to-end and prioritizing ruthl
• esslyExpert Python skills and deep knowledge of modern data-pipeline to
• olingProven experience owning production-grade ML workflows and standing up cloud infrastru
• ctureBonus points if you have experience with geospatial ML platforms, scientific computing stacks, or making ML reproducible in high-stakes environ

ments