Scale AI is seeking an Applied AI Engineer for their Enterprise team in London, UK. The role involves working with clients to build advanced AI agents and ML solutions using the Scale Generative Platform (SGP), focusing on enterprise needs such as cybersecurity and genomics. Responsibilities include owning AI strategy, leveraging SGP for agent development (including multimodal and tool-calling features), gathering business requirements, collaborating with clients and internal teams, and deploying production code. The ideal candidate has a strong engineering background, Python proficiency, and experience with cloud ML development. Familiarity with Generative AI in production is a plus.

Applied AI Engineer for Scale AI's Global Public Sector team, focusing on building custom end-to-end AI applications for public sector clients, generating training data for LLMs, and providing AI advisory services. The role involves deploying AI solutions, creating datasets, fine-tuning models, and establishing evaluation frameworks.

Staff Full-Stack Software Engineer to lead technical strategy and architect production-grade AI applications for public sector clients, integrating UIs, backends, and AI models at scale. This role involves guiding cloud infrastructure evolution, directing core platform development, and bridging field lessons into reusable patterns.

This role focuses on designing and developing the production lifecycle of full-stack AI applications for international government partners, ensuring end-to-end system reliability, inference observability, data orchestration, security, and resilient cloud infrastructure. It involves owning production outcomes, scaling feedback loops, navigating global compliance, leading incident response, and driving product evolution based on field learnings.

This role focuses on the production lifecycle and operational reliability of full-stack AI applications for international government partners, emphasizing system integrity, inference observability, security, and compliance within regulated environments. It involves scaling feedback loops, incident command, and translating technical metrics for stakeholders.

Engineering Manager for Scale AI's Global Public Sector team, focusing on leading engineering efforts to power custom AI applications, AI agents, evaluation tooling, and automation for public sector clients. The role involves managing teams, driving technical delivery, and working across the product lifecycle.

Software Engineer role focused on building and scaling backend systems and infrastructure for enterprise Generative AI products, ensuring reliability, performance, and efficient integration of AI models and data.