Senior Applied AI Engineer: Governance & MLOps

Scale AI; City Of London; In loco; GBP 150.000 - 210.000; Tempo pieno

Descrizione del lavoro

Scale AI is seeking a Staff Applied AI Engineer in the UK to raise the bar for how AI is built, governed, and evaluated across the Global Public Sector team. You will set standards for responsible AI, model governance, and production MLOps, while guiding senior engineers on safety, data integrity, and client-facing decisions.

You will lead architectural decisions, shape the technical roadmap, and coach engineers to deliver scalable, production-ready AI systems.

Competenze

• 7+ years of engineering experience owning AI/ML systems in production.
• Experience evaluating training data quality, selecting adaptation methods, and balancing serving cost, latency, and quality.
• Experience owning an AI-powered product end to end, including AI behavior.
• Track record of establishing standards (evaluation methodology, MLOps practice, architectural patterns).
• Comfort operating with executive-level clients and leadership, defending technical positions under pressure.

Mansioni

• Define standards for responsible AI, model governance, and production MLOps across Scale's Global Public Sector team.
• Build or validate high-risk AI components and establish reusable capabilities and evaluation methodologies.
• Architect AI systems to prevent systemic failure and lead resolution of incidents tied to model safety or data integrity.
• Advise on which new AI developments are worth adopting and shape the technical roadmap.
• Act as senior technical partner to client leadership on AI strategy and coach engineers to deliver safer AI.

Conoscenze

AI/ML systems ownership

Production-grade systems

Evaluation methodologies

MLOps practices

Executive stakeholder communication

Strumenti

MLOps tooling

Architectural patterns

Descrizione del lavoro

Scale AI is seeking a Staff Applied AI Engineer in the UK to raise the bar for how AI is built, governed, and evaluated across the Global Public Sector team. You will set standards for responsible AI, model governance, and production MLOps, while guiding senior engineers on safety, data integrity, and client-facing decisions.

You will lead architectural decisions, shape the technical roadmap, and coach engineers to deliver scalable, production-ready AI systems.