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Senior Data & AI Engineering Leader · Edinburgh

Where rigorous
engineering
meets data led
innovation.

I design and deliver AI and analytics systems that organisations can trust — at scale, under governance, and with measurable outcomes. From NLP pipelines processing hundreds of thousands of interactions per day, to cloud platforms serving tens of thousands of colleagues, my work closes the gap between data potential and operational reality.

See the work Get in touch Career history
Abstract composition in blues and terracotta
NLP at Scale
0
digital interactions analysed
Platform Adoption
0
colleagues served via secure platforms
Cycle-time Reduction
0
regulatory reporting automation
Sectors Delivered
0
Finance · Energy · Media · Defence · Legal
Core stack Python PySpark Azure Databricks Neo4j OpenAI / Anthropic Delta Lake Apache Spark Flask Power BI PRINCE2
What I bring

A rare combination
of depth of learning
and efficnent right first time delivery

Proud to have led spplication of NLP, LLM, ML and cloud computing in the UK since 2012 onwards.

Engineering precision

Production-grade pipelines built with lineage, quality assertions, scheduling and clear ownership. Code that colleagues can operate, audit and extend without the original author in the room.

AI that earns trust

NLP and ML systems designed with explainability and governance at their core. Stakeholders receive clear uncertainty communication alongside actionable outputs — not black boxes.

Cross-functional leadership

Fluent at the boundary between technical and business. I translate between engineering teams and senior stakeholders — managing expectations, shaping requirements and maintaining momentum.

Commercial impact

Analytics work anchored in outcomes: cycle-time reduction, cost avoidance, regulatory compliance and adoption at scale. Delivery that stakeholders can point to in a board report.

Governance by design

Deep experience in regulated sectors — financial services, energy, defence — where data quality, audit trails and access controls are non-negotiable. Compliance is built in, not added later.

Proven at scale

800k+ NLP interactions, 20k-user platforms, 96% cycle-time reduction. Infrastructure designed to grow — built to be inherited, not rebuilt when requirements inevitably change.

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Case Studies

Selected
delivery work

Regulated-sector projects where the bar for accuracy, auditability and stakeholder confidence is high — and the margin for error is low.

All NLP & ML Automation Cloud Governance
Large-scale NLP · Energy

Conversation analytics at operational scale

End-to-end NLP pipeline processing over 800,000 digital customer interactions — robust text preparation, multi-label classification and keyword extraction, with stakeholder-ready dashboards anchored to traceable definitions. Governance controls ensured outputs were suitable for regulatory reporting alongside day-to-day team use.

Outcome Organisation-wide visibility into customer sentiment and conduct risk — previously unavailable at this scale or consistency
Regulatory Automation · Finance

Month-end reporting transformed to daily delivery

Rearchitected a high-stakes regulatory reporting workflow using Python automation, statistical quality controls and exception-handling frameworks. Full audit trail and escalation path for anomalies — outputs accepted directly by compliance teams without manual review.

Outcome 96% reduction in cycle time — from several weeks to same-day delivery, with improved accuracy and auditability
ML Prioritisation · Programme Delivery

Surfacing risk signals for programme leadership

NLP and feature engineering applied to structured and unstructured RAID-style data across a complex, multi-workstream programme. Explainability and uncertainty quantification were central — decision-makers needed to understand confidence, not just outputs. Surfaced issues that manual review consistently missed.

Outcome Earlier identification of delivery risk, adopted as a standing analytical input to leadership planning cycles
Cloud Engineering · Data Platform

Lakehouse architecture for enterprise analytics

Production-grade ingestion and transformation pipelines on Azure / Databricks: data lineage, scheduled execution, quality assertions and documented ownership. Designed from the outset for handover — observable, testable and extendable by other teams.

Outcome Reliable, self-operating analytics infrastructure adopted across multiple teams with minimal ongoing support overhead
Secure Platforms · Financial Services

Analytics platform for 20,000 colleagues

Designed and operationalised a secure internal analytics and MI platform serving a large, dispersed workforce. Governance-aligned access controls, resilient scheduling and comprehensive documentation enabled a clean operational handover. Dashboards became the primary source of truth for senior leadership.

Outcome Trusted organisation-wide MI platform adopted as the definitive reporting source by senior leadership
Real-time BI · Media

Automated live insight for high-visibility reporting

Automated reporting pipelines feeding real-time dashboards for a national broadcaster. Engineered for predictable refresh behaviour, minimal manual effort and rapid interpretation by non-technical stakeholders. Custom geospatial clustering informed strategic decisions previously made on intuition alone.

Outcome Live, trusted analytics adopted as a strategic planning tool — manual reporting overhead eliminated entirely
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Career

A sustained record
of delivery

Sector-diverse experience — finance, energy, media, defence, legal tech — with a consistent theme: trusted analytical products, delivered with engineering rigour and stakeholder confidence.

2024+
Financial services
Secure platforms
Operational reporting

Senior MI / Analytics Engineer

Delivered enterprise MI and secure analytics infrastructure for a regulated financial services organisation — from initial architecture through to operational handover.
  • Architected and delivered a secure internal analytics platform with role-based access controls and management dashboards, adopted by a workforce of over 20,000.
  • Built an end-to-end automated daily pipeline producing compliance-ready reporting outputs — eliminating manual effort and establishing a clear audit trail for regulatory purposes.
  • Acted as the primary technical interface to senior stakeholders, translating complex engineering constraints into accessible delivery commitments and timelines.
2021+
Energy sector
NLP at scale
Cloud engineering

Senior Data Engineer

Led design and delivery of large-scale NLP analytics and cloud data infrastructure in a customer-facing energy business, working across multiple product and data teams.
  • Introduced production NLP analytics across 800,000+ digital customer interactions — delivering consistent, governance-aligned insight into conduct risk, sentiment and agent performance.
  • Designed sensitive-language detection and vulnerability identification models, directly supporting regulatory compliance and safeguarding objectives across the business.
  • Delivered lakehouse-style data pipelines on Azure and Databricks with strong lineage, scheduling and quality controls, adopted by multiple downstream teams.
  • Led agile delivery across cross-functional teams — managing senior stakeholder expectations and translating analytical findings into strategic decisions.
2019+
Asset management
Regulatory reporting
Python automation

Project Management & Data Science Associate

Joined to solve a specific high-stakes problem: the company's regulatory reporting cycle was unsustainably slow. Left having transformed it.
  • Reduced regulatory reporting publication time from one month to one day — a 96% cycle-time reduction — using Python automation and statistical quality controls.
  • Redesigned data flows to reduce fragility and improve reproducibility across a high-volume, FCA-scrutinised reporting process.
  • Delivered under PRINCE2-aligned governance, reporting directly to the programme management office.
2018+
Media & broadcast
Cloud BI
Geospatial analytics

Senior Data Analyst

Delivered cloud analytics and BI infrastructure for a national broadcaster, working at pace in a fast-moving publishing and editorial environment.
  • Built cloud-based analytics workflows and automated dashboards for high-visibility real-time reporting — removing manual effort from editorial and commercial teams entirely.
  • Developed custom geospatial clustering (distance + density) to inform strategic location planning decisions, replacing subjective judgement with analytical evidence.
  • Coached colleagues in Python and data engineering practices, building lasting capability within the analytics function.
Earlier
Legal tech · Defence
Nuclear · Finance
Consulting

Data Science & Analytics Consulting

Prior engagements across legal technology, defence and financial services — building graph analytics, NLP applications and regulatory MI systems.
  • Built a Neo4j knowledge graph over UK legislation and case law for a legal technology platform, enabling complex statutory relationship queries unavailable in any commercial product.
  • Delivered data engineering and project management support for British Nuclear Fuels within PRINCE2 frameworks on safety-critical programme reporting.
  • Investment, fund accounting, pensions and retail banking engagements covering regulatory MI (MiFID II, PRIIPs), data quality assurance and reporting automation.
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Skills

Experience map

An interactive map of industries, skill categories and individual techniques.

Education & Formation

Education
and lifelong learning

An engineering background and early international R&D experience.

Degree

BEng Electronic Engineering (Hons) — 2:1

Final year project in turbo coding for wireless standards (MATLAB / Simulink), awarded a first-class project grade. Engineering fundamentals — signal theory, systems thinking, mathematical rigour — remain a foundation of the analytical approach.

International Placement

R&D Programmer · Test Systems, Stuttgart

Embedded within a German R&D environment, programming measurement and test systems using PCI hardware and C++ tooling. Produced ISO-aligned procedures subsequently adopted across the wider team.

Professional Development

PRINCE2 · Agile delivery · LLM engineering

Formal PRINCE2 certification applied across defence, financial services and energy engagements. Ongoing development in LLM engineering, RAG architecture and responsible AI system design.

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