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Peter Milne
CTO / Engineering Leader
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Open to CTO, Head of Engineering, and senior leadership roles

Peter Milne

CTO / Engineering Leader — AI & Data Systems

I build, scale, and lead high-impact engineering organisations, specialising in data-intensive platforms, AI-driven products, and complex technical domains such as Energy and Analytics. I take responsibility for systems that survive contact with reality.

  • 20+ years delivering production software
  • 10+ years leading engineering teams & organisations
  • Former Director of Software Development — S&P Global & IHS Markit
FOCUS

What I Do

I work at the intersection of engineering, data, and leadership — turning complex, real-world problems into scalable systems that organisations can build, operate, and evolve with confidence. I’ve spent most of my career in environments where correctness, reliability, and domain understanding matter more than novelty.

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.

EVIDENCE

Selected Platforms & Systems

A few representative categories of work. I optimise for impact, operational reality, and long-term maintainability — not demo theatre.

Energy & Market Analytics Platforms

Led engineering teams delivering production-grade analytics platforms used across energy markets, supporting decision-making under real operational and commercial constraints

LeadershipData PlatformsEnergy

AI-Driven Forecasting & Modelling Systems

Designed and delivered predictive modelling pipelines for noisy, real-world signals, with an emphasis on calibration, explainability, and operational usefulness over vanity metrics

AI/MLForecastingMLOps-ish (Pragmatic)

End-to-End Product Delivery

Built and shipped full-stack products with a strong bias toward maintainability, performance, and long-term system health. Calm systems beat clever systems.

ArchitectureFull StackShipping
LEADERSHIP

Experience

Condensed on purpose. If you want the full chronology, it’s in the CV — this is the signal layer.

Director of Software Development
S&P Global
Aberdeen, UK
Director of Software Development
IHS Markit
Aberdeen, UK
Associate Director
IHS / Rushmore Reviews
Aberdeen, UK

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.

TOOLING & DEPTH

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
HUMAN

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 don’t ship chaos unless someone forces me at gunpoint.

What you can expect

  • High ownership, calm delivery, and honest trade-offs
  • Systems thinking: performance, cost, reliability
  • AI & data used as leverage, not decoration