Job Detail

Applied AI Engineer, Enterprise

Data Science and AI Full–time
ID: #10594
Posted: 2026-03-08
Salary

Description

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • 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 Ideally you'd have: • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals • Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background. • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment • Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas) Nice to haves: • Strong knowledge of software engineering best practices • Have built applications taking advantage of Generative AI in real, production use cases • Familiarity with state of the art LLMs and their strengths/weaknesses PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Hard Skills 8
Skill Source Confidence
Python llm_hard
100%
Pandas llm_hard
100%
NumPy llm_hard
100%
Large Language Models (LLMs) llm_hard
100%
Model Deployment llm_hard
100%
MLOps llm_hard
100%
AWS (SageMaker, EC2, S3) llm_hard
80%
Google Cloud AI llm_hard
80%
Soft Skills 6
Skill Source Confidence
Cross-Functional Communication llm_soft
100%
Collaboration llm_soft
100%
Problem-Solving llm_soft
100%
Critical Thinking llm_soft
100%
Adaptability llm_soft
80%
Learning Agility llm_soft
80%
Apply Options
Publisher Direct Link
Built In London Yes Apply
Indeed No Apply
Startup Jobs No Apply
SpaceTalent Job Board No Apply
Accel Job Board No Apply
LinkedIn No Apply
Adzuna No Apply
Built In Yes Apply
Built In London No Apply
API Logs for this Job
Query Country Status Response ms Created
Applied AI Engineer, Enterprise extracted 7293 2026-03-22 02:30
Applied AI Engineer, Enterprise classified 452 2026-03-21 21:01
junior deep learning engineer in London gb duplicate 8628 2026-03-21 17:11
junior AI engineer in London gb duplicate 14347 2026-03-21 17:04
junior AI engineer in United Kingdom gb duplicate 21364 2026-03-21 17:04
junior machine learning engineer in London gb processed 9822 2026-03-21 16:57
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