Scale AI

About the Company

At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data.

The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.

Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea.

Listed Jobs

Company Name

Scale AI

Job Title

Applied AI Engineer, Global Public Sector

Job Description

Job Title: Applied AI Engineer, Global Public Sector Role Summary: Build, deploy, and iterate end‑to‑end AI applications for public sector clients, creating custom datasets, evaluation pipelines, and production‑ready models that serve millions of citizens globally. Expectations: Partner with government stakeholders, translate requirements into scalable AI solutions, and contribute to the public sector AI ecosystem through knowledge sharing and repeatable engineering practices. Key Responsibilities: - Design, develop, and deploy AI applications using latest open‑source and proprietary models. - Create and curate high‑quality training datasets in collaboration with data annotation specialists. - Construct and maintain evaluation frameworks to validate model performance and reliability. - Engage with clients throughout project life‑cycle, including requirement gathering, demos, and stakeholder communication. - Participate in periodic travel to client sites (≈2 weeks per quarter). - Mentor and support cross‑functional teams, translating technical insights into actionable business outcomes. Required Skills: - Strong programming foundation in Python; proficiency in TypeScript/JavaScript, Java, or C++. - 7+ years of engineering experience with proven delivery of production AI systems. - 2+ years applying AI/ML in production: deep learning deployments, generative or agentic AI, evaluation pipelines. - Experience with cloud ML platforms: AWS, GCP, or Azure. - Data‑driven problem solving; iterative model and dataset refinement. - Excellent written and verbal communication for cross‑functional collaboration. Required Education & Certifications: - Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience).

London, United kingdom

On site

Senior

18-03-2026