Senior Applied AI Engineer — Production AI & Client Impact

scaleai; Greater London; Presencial; GBP 120.000 - 180.000; Jornada completa

Descripción de la vacante

Scale AI is seeking a Senior Applied AI Engineer for its Global Public Sector team in the United Kingdom. You will own the AI behaviour of production systems, including agents, evaluations, and backend integrations for client use.

You will lead delivery for your workstream, design robust evaluations, and mentor engineers while working directly with clients to explain model trade-offs and outcomes in live data scenarios.

Formación

• Backend engineering experience with AI/ML systems in production.
• Ownership of AI behaviour of a production system end to end.
• Hands-on evaluation design tying model behaviour to real-world outcomes.
• Comfort explaining model behaviour to non-technical stakeholders.

Responsabilidades

• Own the AI layer of production systems for public sector clients, including agents, model integration, and the backend services they run on.
• Build production agents from established architectural patterns, with reliable tool calling, guardrails, and observability.
• Select and adapt evaluation methods, and design new evaluations for client-specific risks.
• Apply context engineering, retrieval-augmented generation, model adaptation, or inference optimisation.
• Investigate regressions in the systems you own, lead root‑cause analysis, and implement preventative changes.
• Lead project planning for your workstream and manage client expectations on scope, risk, and delivery.
• Codify recurring client work into reusable tooling, evaluation components, or guidance that other engineers adopt.
• Mentor engineers through code review, pairing, and delegated ownership.

Descripción del empleo

Scale AI is seeking a Senior Applied AI Engineer for its Global Public Sector team in the United Kingdom. You will own the AI behaviour of production systems, including agents, evaluations, and backend integrations for client use.

You will lead delivery for your workstream, design robust evaluations, and mentor engineers while working directly with clients to explain model trade-offs and outcomes in live data scenarios.