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Engineering Manager, ML Infrastructure, London

London, United Kingdom💼 Full-time🗓 2026-08-19 → 2026-09-28

Core

Lead teams building Apple's cloud AI inference stack for Apple Intelligence, ensuring privacy-preserving generative AI delivery across heterogeneous hardware.

Role type

Senior Engineering Manager, ML Infrastructure

Builds

Cloud inference services, model runtimes, and orchestration layers for Apple Intelligence

Domain

Consumer tech, Generative AI, Distributed Systems

Deliverable

production ML models

Required skills

Engineering management, distributed systems, infrastructure ownership, roadmap planning, cross-team collaboration, privacy-by-design, technical credibility

Preferred skills

LLM inference at scale, GPU/custom-accelerator optimization, platform API stewardship, SRE practices, developer experience tooling, systems languages (C++, Rust, Go), privacy-preserving systems

Technologies

Apple silicon, industry-standard accelerators, Python, Swift, C++, Rust, Go

Responsibilities

Hire, coach, and retain high-performing teams; own delivery and technical direction of inference stack components; set and defend technical roadmaps; partner across engineering, research, hardware, and security teams; enforce rigorous engineering and privacy standards; advocate for team resources to leadership.

Seniority

Senior, hands-on IC with management responsibilities

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