Applied Machine Learning Engineer - Developer Publications
Apple· Software and Services
Hybrid (London)Posted 5mo ago
About the role
Applied ML Engineer on the Developer Publications Intelligence team at Apple, focusing on building and integrating ML models and LLM-based workflows into tools for third-party developers. Responsible for LLM evaluation pipelines, agentic workflows, on-device model solutions, and collaboration with cross-functional teams and subject-matter experts.
Responsibilities
- Building and maintaining LLM evaluation pipelines to assess model quality, track regressions, and support continuous improvement cycles.
- Designing and implementing agentic workflows and on-device model solutions.
- Engaging in code reviews, pair programming, and architecture discussions with other members of the team.
Qualifications
- Strong programming skills in Python, with additional experience in Swift, C++, or similar languages.
- Comprehensive knowledge and hands-on experience with LLM evaluations.
- Experience building and maintaining production-grade ML systems at scale.
- Experience with agentic or multi-step LLM-based systems.
- BS, MS, or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience).
- Experience developing for Apple's platforms using Xcode and Swift.
- Experience with on-device LLMs.
Skills
Required:PythonLLM evaluations
Nice to have:SwiftC++
Last updated Aug 7, 2026. Interested? Apply on the company site.
About Apple
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Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
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