Machine Learning Software Engineer – London

About the role

Apple is building ML‑inference applications and services on Apple Silicon for its Private Cloud Compute platform. As a Machine Learning Software Engineer you will help improve stability and performance while adding new generative‑AI functionality.

Key responsibilities

• Engineer continuous improvements in stability and performance for private‑cloud compute services.
• Implement new functionality emerging from the research community in collaboration with product teams.
• Write performant, scalable frameworks in Swift and C++ to distribute and coordinate ML inference tasks across hardware acceleration blocks.
• Integrate inference code into a full service stack to ensure reliable, high‑throughput user traffic.
• Develop clean, maintainable code that is safe to update and monitor.

Required profile

• Experience as a software engineer on large production systems.
• Proficiency in Swift, C, C++ and development on iOS/macOS or Xcode.
• Practical experience running machine‑learning models and evaluating quality and performance metrics.

Required skills

• Swift
• C / C++
• iOS/macOS development (Xcode)
• Apple ML stack (ANE, CoreML, MPS/Metal)
• Distributed ML frameworks (PyTorch‑distributed, NCCL)
• High‑throughput inter‑chip communication systems
• On‑device iOS development