Data & Cloud Foundations Lead AI Platforms

Luminous Executive Advisory & Strategy

Greater London

Hybrid

GBP 80,000 - 110,000

Full time

9 days ago

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Job summary

Luminous Executive Advisory & Strategy is building robust data platforms and cloud foundations to enable reliable, responsible AI. You will own the data platform and cloud infrastructure that supports analytics, modeling, and future intelligence.

You will design and operate cloud infrastructure for AI workloads, drive ML feature generation, and ensure data validation, privacy, and reliability while collaborating with AI engineers to shape dataset design.

Qualifications

  • Design and operate cloud infrastructure optimized for AI workloads.
  • Machine learning and feature generation.
  • Longitudinal and time-based analysis.
  • Cross-domain integration.
  • Data validation, lineage, monitoring, and reliability controls.
  • Privacy-aware data handling.

Responsibilities

  • Design and operate cloud infrastructure optimized for AI workloads.
  • Perform ML feature generation and dataset-ready preparation.
  • Conduct longitudinal and time-based analyses for models.
  • Enable cross-domain data integration for analytics.
  • Implement data validation, lineage, monitoring, and reliability controls.
  • Ensure privacy-respecting data handling across datasets.
  • Collaborate with AI and modeling engineers on dataset design.
  • Partner with teams to ensure scalable foundations for future intelligence.

Skills

Python
SQL
Data modeling
Data engineering
Production ML/AI experience
Data governance

Job description

You build the data and cloud foundations that make reliable, responsible AI possible.
The quality, safety, and usefulness of all intelligence depends directly on your work.

What You’ll Build & Own

You own the data platform and cloud infrastructure that supports analytics, modeling, and future intelligence.

Key Responsibilities

Design and operate cloud infrastructure optimized for AI workloads

Machine learning and feature generation

Longitudinal and time-based analysis

Cross-domain integration

Implement data validation, lineage, monitoring, and reliability controls

Ensure privacy-aware, consent-respecting data handling

Partner closely with AI and modeling engineers on dataset and feature design

Who You Are

Experienced data engineer or platform engineer

Strong Python, SQL, and data modeling skills

Experience supporting ML/AI systems in production environments

Deep respect for data correctness, reliability, and security

Thinks in terms of foundations that must endure and evolve

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