Apple
Principal Machine Learning Engineer, AI & Data Platforms (AiDP)
Found: Today
This role is based in London, England, United Kingdom.
Responsibilities:
- Lead the end-to-end development and productionisation of LLM-based systems, from upstream training and reinforcement learning through fine-tuning, alignment, and deployment.
- Design and implement comprehensive LLM evaluation and benchmarking frameworks.
- Architect production inference infrastructure that meets Apple's performance and reliability standards.
- Drive model customisation and adaptation strategies.
- Build end-to-end AI-powered products and features.
- Establish engineering excellence across the ML development lifecycle.
- Mentor and elevate ML engineers across the team.
Minimum Qualifications:
- Extensive hands-on Machine Learning engineering experience.
- Deep expertise in LLM fine-tuning and customisation.
- Strong software engineering proficiency across Python, Swift, and Java.
- Experience building and operating enterprise-grade ML pipelines.
Preferred Qualifications:
- Demonstrated ability to deliver end-to-end AI products.
- Published papers in top conferences in ML/Statistics/Maths/compsci.
- Expertise in reinforcement learning techniques for model alignment.
