# Staff Applied AI Engineer

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** London, United Kingdom
**Role:** ML Engineering
**Experience:** 7+ years
**Skills:** Artificial Intelligence, Machine Learning, MLOps, Model Governance, Responsible Ai, AI Agents, Model Fine-Tuning, Training Data Evaluation, Ai Evaluation, Hallucination Mitigation, On-Premises Deployment, Auditability, Backend Integration, Production Systems
**Posted:** 2026-08-10

> Leads the design, governance, evaluation, and production delivery of AI systems for public-sector clients. The role requires 7+ years of engineering experience, production AI/ML ownership, expertise in regulated deployments, and the ability to establish technical standards and advise executive stakeholders.

## Job Description

## Responsibilities

- Define standards for responsible AI, model governance, and production MLOps across the Global Public Sector team.
- Build or validate high-risk components of strategic AI systems and establish reusable standards.
- Architect AI systems designed to prevent systemic failure and lead resolution of severe incidents involving model safety or data integrity.
- Build reusable AI capabilities, including production-ready agent implementations, fine-tuned models, and evaluation methodologies.
- Advise on AI developments worth adopting and help set the technical roadmap.
- Act as a senior technical partner to client leadership on AI strategy.
- Coach Senior Applied AI Engineers, delegate technical-domain ownership, and develop systems and practices that enable multiple teams to deliver safer AI.
- Contribute to recruiting and represent the company's AI work externally.

## Requirements

- 7+ years of engineering experience, including a multi-year track record owning AI/ML systems in production.
- Experience assessing training-data quality, selecting model-adaptation methods, evaluating fine-tuning results, and balancing serving cost, latency, and quality.
- Experience owning an AI-powered product end to end, including direct involvement in AI behavior.
- Track record of establishing durable standards, such as evaluation methodologies, MLOps practices, or architectural patterns.
- Comfort working with executive-level clients and leadership and defending technical positions under pressure.
- Deep experience with regulated, sovereign, or on-premises AI deployment, including hallucination mitigation and auditability.
- Some UK assignments may require BPSS screening and SC or DV clearance; eligibility depends on the assignment and candidate circumstances.

## Collaboration Scope

- Own production AI behavior, backend integration, and customer-specific evaluation.
- Collaborate with Senior Full-Stack Engineers responsible for user-facing applications and infrastructure, and ML Research Engineers responsible for novel agent architecture and cross-account benchmark methodology.

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