Applied AI Engineer: Frontier Agents for Enterprise

Scale AI, Inc.; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

ScaleAI's Applied AI Engineer role focuses on delivering ML solutions for enterprise clients using Scale Generative Platform. You will work on cutting-edge AI cybersecurity, journalism AI experiences, and genomic model applications, collaborating with clients to translate requirements into technical ML solutions.

The role emphasizes software engineering rigor, cloud experience, and a strong ML background, with opportunities to work across multiple industries and client sites.

Qualifications

• Love solving complex technical problems with ambiguity using AI to meet client goals.
• Bachelor's degree in CS, Math, or related field or equivalent engineering background.
• Data-driven approach; understand how data changes affect model results.
• Experience with cloud stacks (AWS or GCP) and ML models in the cloud.
• Proficiency in Python with libraries (numpy, pandas).

Responsibilities

• Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems.
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more.
• Have experience gathering business requirements and translating them into technical solutions.
• Meet regularly with customer teams onsite and virtually, collaborating cross‑functionally with all teams responsible for their data and ML needs.
• Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
• Be able and willing to multi‑task and learn new technologies quickly.

Skills

Complex problem solving

Engineering background

Data-driven ML

Cloud ML

Python

Education

Bachelor's in CS/Math/Quant

Tools

AWS

GCP

Python

Job description

ScaleAI's Applied AI Engineer role focuses on delivering ML solutions for enterprise clients using Scale Generative Platform. You will work on cutting-edge AI cybersecurity, journalism AI experiences, and genomic model applications, collaborating with clients to translate requirements into technical ML solutions.

The role emphasizes software engineering rigor, cloud experience, and a strong ML background, with opportunities to work across multiple industries and client sites.