
IntelliSense.io helps mining companies run safer, more efficient, and more sustainable operations by delivering continuous, data-driven process optimization. It does this via a real-time…

IntelliSense.io helps mining companies run safer, more efficient, and more sustainable operations by delivering continuous, data-driven process optimization. It does this via a real-time…
Sector: Industrial AI for mining & metals
Product: brains.app Decision Intelligence platform + process optimization apps
HQ: Cambridge, United Kingdom
Founded: 2014
Notable investor: BASF Venture Capital
Process optimization and control for minerals and metals producers (mining value chain).
2014
Software Development
Press announcement of BASF Venture Capital investing; described as a strategic investment.
“BASF Venture Capital as a strategic/lead investor; other named investors include Stephen Kelly”
Join IntelliSense.io as a Mining Technology Engineer! Shape the Future of Mining with IntelliSense.io
Are you a mining geologist looking to gain AI experience and work on technology solutions that revolutionize stockpile management, material tracking and reconciliation?
IntelliSense.io is seeking a talented and motivated Production Geologist to act as a technical expert and fill the role of We are pioneers in integrating fundamental physics with objective AI for a novel approach to material tracking and mineral processing. We deliver for the mining industry. Our technology delivers recommendations to humans as their role-specific augment human intelligence or direct to the execution systems (machines) making operations .
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With a global, remote-first workforce and regional hubs in the UK, Australia, Chile, and Ireland, we are now expanding our presence in the Middle East, particularly in Saudi Arabia — a global leader in mining development under Vision 2030.
Your Responsibilities
What You Bring
A degree in Geology or Earth Sciences (essential).
3–5+ years of mine production geology experience, particularly in:
Ore control
Stockpile management
Mine-to-mill reconciliation
Strong understanding of:
Reconciliation factors and their calculation
Dilution and ore loss analysis
Resource modelling processes (experience not required, but understanding essential)
Mine planning processes (planning experience not required)
Fleet management systems and their impact on material tracking and stockpiles
Proven ability to conduct root cause analysis on reconciliation or performance variances.
Experience assessing QA/QC systems, sampling protocols, and assay lab performance.
Ability to interpret and communicate complex material movement and data workflows.
Strong analytical mindset with high attention to data integrity and governance.
Excellent communication skills, with the ability to engage audiences across technical disciplines, industries, and countries.
Openness to travel to the United Kingdom for onboarding and training.
Have lead or supported ore control and production geology initiatives
Have analysed and optimised mine-to-mill reconciliation, identifying variances and driving continuous improvement.
Have conducted root cause analysis on reconciliation gaps, stockpile performance discrepancies, dilution, and ore loss.
What We Offer
Be Part of the Future
If you're excited about the intersection of AI, mining, and industrial innovation, we’d love to hear from you.