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Staff Applied AI Engineer

Scale AILondon, UKGPS Engineering
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Salary
Not listed
Job type
Full-time
Posted
30 Jul 2026
Status
Open · checked 7d ago

About this role

Scale AI is hiring a Staff Applied AI Engineer in London, UK to lead the development and governance of artificial intelligence systems for public sector clients. This position is ideal for an experienced engineering professional with a strong background in production machine learning who wants to shape AI strategy and standards.

Role Overview

Operating within the Global Public Sector engineering group, the professional in this position will elevate how artificial intelligence solutions are built, evaluated, and governed. The individual will serve as a primary technical voice for critical client decisions, defining best practices that other technical teams adopt. Responsibilities include shaping the technical roadmap, advising leadership, and ensuring the safety and reliability of complex deployments.

Key Responsibilities

Establish and promote team-wide standards for responsible artificial intelligence, model governance, and production MLOps.
Construct or validate high-risk components of strategic artificial intelligence architectures to set organizational benchmarks.
Architect systems designed to prevent systemic failures and lead responses to severe safety or data integrity incidents.
Create reusable capabilities, including fine-tuned models and agent implementations, for engineers and clients.
Partner directly with client leadership to guide artificial intelligence strategy and defend technical positions under pressure.
Mentor senior engineering colleagues, delegate ownership of specific domains, and support external recruitment efforts.

Requirements

Seven or more years of professional engineering background, featuring a proven history of managing artificial intelligence and machine learning systems in production environments.
Demonstrated capability in evaluating training data quality, selecting model adaptation methods, and balancing cost, latency, and performance.
Comprehensive history of owning artificial intelligence products end-to-end, including direct responsibility for model behavior.
Track record of creating lasting engineering standards, such as evaluation methodologies or MLOps practices.
Deep familiarity with regulated, sovereign, or on-premise deployments, focusing on auditability and hallucination mitigation.
Ability to meet local vetting requirements, which may include BPSS screening, SC, or DV clearance depending on specific assignments.

Skills and Tools

MLOps
Model Governance and Evaluation
Fine-Tuning and Agent Architectures
Regulated and On-Premise Deployment

About the Company

Scale AI builds reliable artificial intelligence systems to help enterprises and government organizations manage critical decisions. The enterprise supplies high-quality data and full-stack technology powering leading models globally. Clients include major corporations, healthcare institutions, and international government bodies.

How to Apply

Interested candidates should visit the official Scale AI careers page to submit an application and review assignment-specific eligibility details.

Skills and tech stack

MLOps

Questions candidates ask

Where is this job located?

This position is based in London, United Kingdom, though location, travel, and vetting requirements can vary depending on the specific assignment.

What level of experience is required?

Candidates must have 7+ years of engineering experience, featuring a multi-year track record of owning AI and ML systems in production environments.

What security clearances might be needed?

Depending on the assignment, some UK roles require BPSS screening, and may also require Security Check (SC) or Developed Vetting (DV) clearance.

Is there a waiting period to reapply if previously rejected?

Yes, company policy requires a 90-day waiting period before reconsidering candidates for the same role.

Ready to apply?

The application is on the official Scale AI careers page.

Apply on company site