Peter Milne
Principal Software Engineer — Data Platforms, Geospatial Analytics & AI Systems
I build and scale high-impact data platforms, geospatial analytics systems, and AI-driven products across complex industrial and scientific domains. With 20+ years across Oil & Gas, analytics, and cloud-native systems, I specialise in translating difficult real-world problems into scalable, production-grade software.
- 20+ years across Oil & Gas, analytics & industrial systems
- Geospatial decision-support & scientific data workflows
- Former Director of Software Development — S&P Global & IHS Markit
What I Do
I work at the intersection of engineering, data, and domain-heavy problem solving — building systems that support real-world decision making across energy, analytics, and scientific workflows. I optimise for clarity, reliability, and systems that survive production reality.
Build platforms that earn their keep
Architecture, reliability, performance, and the boring-but-critical disciplines that keep products alive at scale.
Apply AI where it pays
Pragmatic ML and analytics: measurable improvements, strong evaluation, and no worshipping models for their own sake.
Lead teams through delivery pressure
Calm execution, clear priorities, and systems-level thinking — especially when timelines and complexity collide.
Bridge business ↔ engineering
Translate outcomes into plans, plans into systems, and systems into repeatable delivery.
Selected Platforms & Systems
A few representative categories of work. I optimise for impact, operational reality, and long-term maintainability — not demo theatre.
Geospatial Analytics & Decision Support
Designed and delivered production-grade geospatial analytics platforms for offshore well planning, subsurface modelling, and spatial analogue forecasting using map-based workflows and technical decision tooling.
Energy Benchmarking & Asset Intelligence
Led engineering across large-scale benchmarking, production analytics, and asset valuation platforms including systems aligned with Rushmore and Vantage workflows used across global energy portfolios.
AI-Driven Forecasting & Platform Engineering
Built production ML pipelines, telemetry platforms, and cloud-hosted forecasting systems focused on operational reliability, explainability, and measurable business impact.
Experience
A concise summary of selected leadership and engineering roles. The full chronology is available in the CV.
I’ve led cross-functional engineering teams delivering complex, data-driven systems in high-stakes environments — including post-merger integration, organisational change, and sustained delivery under pressure.
Core Capabilities
Grouped as capabilities (what you can rely on me to deliver), not a keyword buffet.
Engineering & Architecture
- System design, platform thinking, distributed services
- Backend & APIs, reliability, performance
- Full-stack delivery when it matters
AI & Data
- Data-intensive products, pipelines, analytics platforms
- Predictive modelling & applied ML
- Pragmatic evaluation: what improves outcomes, not hype
Leadership
- Org design, team scaling, delivery execution
- Technical strategy, governance, simplification
- Post-merger integration & cross-team alignment
Cloud & Platforms
- AWS, Azure
- CI/CD, DevOps practices
- Observability mindset
How I Work
I’m pragmatic, curious, and fairly allergic to nonsense. I like clean interfaces, calm systems, and teams that enjoy delivering.
I care about building systems that survive contact with reality, teams that enjoy working together, and software that earns its keep. I’m comfortable in ambiguity, ruthless about clarity, and I prioritise calm, maintainable systems that remain reliable under pressure.
What you can expect
- High ownership, calm delivery, and honest trade-offs
- Systems thinking: performance, cost, reliability
- AI & data used as leverage, not decoration