Apple
Machine Learning Engineer (Applied Machine Learning), AI & Data Platforms (AiDP)
Found: March 5, 2026
This role is based in London, England.
Responsibilities:
- Design and deploy production ML/GenAI systems that drive measurable business outcomes across Apple's product ecosystem.
- Build next-generation infrastructure leveraging distributed systems, hardware acceleration, and optimization techniques.
- Partner with cross-functional teams to translate groundbreaking research into user-centric products.
- Solve uniquely challenging problems in privacy-preserving ML and efficient inference at scale.
- Champion ML engineering excellence through robust testing, monitoring, and documentation that meets Apple's quality bar.
Minimum Qualifications:
- Bachelor of Science in Machine Learning, Data Science, Computer Science or a related quantitative field or equivalent experience.
- Demonstrated experience in Machine Learning engineering with solid experience in Python.
- Hands-on experience with LLMs and generative AI systems.
- Experience building enterprise-grade ML pipelines in cloud environments or on-prem infrastructure.
Preferred Qualifications:
- Contributions to major open-source ML frameworks or research communities.
- MS in Computer Science, Machine Learning, or a related quantitative field.
- Solid grasp of NLP techniques and multimodal AI.