Applied AI Engineer, Enterprise

Scale AI; City of Westminster; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading AI solutions provider in the UK seeks an Applied AI Engineer to develop innovative ML solutions for enterprise clients. You will own and optimize AI functionalities, translating business needs into technical solutions, and collaborating across teams. Ideal candidates have a strong engineering background, experience with cloud technologies, and proficiency in Python. This role promises to work on cutting-edge projects that significantly impact the future of AI applications.

Qualifications

• Bachelor's degree or equivalent strong engineering background.
• Experience in data-driven machine learning model iteration.
• Familiarity with cloud technology stack and ML model development.

Responsibilities

• Own and optimize AI for Enterprise customers' technical problems.
• Build advanced AI agents leveraging SGP.
• Gather business requirements and translate them into technical solutions.
• Collaborate cross-functionally with customer teams.

Skills

Strong engineering background

Deep familiarity with data-driven ML models

Experience with cloud technology (AWS or GCP)

Proficiency in Python

Education

Bachelor's degree in Computer Science, Mathematics, or related field

Job 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!

Responsibilities

• Own, plan, and optimize the AI behind our Enterprise customers' 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 customers' and Scale's codebases
• Be able and willing to multi‑task and learn new technologies quickly
• 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

Qualifications

• 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 (e.g., AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (e.g., 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.

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 such as 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.