Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Apple is where individual imaginations gather together, committing to values that lead to great work. Every new product is the result of making each other’s ideas stronger, driven by a diverse and inclusive team that inspires innovation. Joining the Developer Publications Intelligence team as an Applied Machine Learning Engineer, you will collaborate with passionate Machine Learning and Software engineers to build and integrate ML models into tools for third-party developers. You will contribute to architecture discussions, code reviews, and proposals, working alongside domain experts and cross-functional teams across Apple. Your responsibilities will include building and maintaining large language model (LLM) evaluation pipelines to assess model quality, track regressions, and support continuous improvement cycles. You will design and implement agentic workflows and on-device model solutions, ensuring production-grade ML systems are scalable and reliable. This role requires a commitment to excellence and quality in all outputs.

Experience
- Strong engineering fundamentals with robust knowledge of Large Language Models (LLMs), agentic workflows, and LLM evaluations at scale
- Experience building and maintaining production-grade ML systems
- Experience with agentic or multi-step LLM-based systems
- Strong programming skills in Python; additional experience in Swift, C++, or similar languages
- Experience developing for Apple’s platforms using Xcode and Swift
- Experience with on-device LLMs

About you
You are a creative and passionate engineer who thrives in a multidisciplinary environment. You enjoy collaborating with domain experts and cross-functional teams, contributing to architecture and code quality. You are motivated by continuous improvement and delivering high-quality solutions that impact developers worldwide.

Qualifications
BS, MS, or PhD in Computer Science, Artificial Intelligence, Machine Learning, or equivalent experience