LLMOps & ML Evaluation Engineer

Lex; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Apple is seeking an Applied Machine Learning Engineer to join the Developer Publications Intelligence team in London. You will work with ML and software engineers to integrate ML models into Apple tools for third-party developers, ensuring cross-functional collaboration and high-quality outputs.

The role emphasizes MLOps/LLMOps excellence, building evaluation pipelines, model quality tracking, and active participation in code reviews and architecture discussions.

Qualifications

• Strong programming skills (Python, Swift, Go or other language).
• Experience with MLOps/LLMOps toolkits and frameworks.
• Hands-on experience with LLM evaluations.
• Willingness to learn and improve collaboratively.

Responsibilities

• Drive MLOps/LLMOps excellence including evaluation pipelines and deployment practices.
• Build and maintain LLM evaluation pipelines to assess model quality and regressions.
• Engage in code reviews, pair programming and architecture discussions.

Skills

Python

Swift

Go

ML/Ops

LLM evaluations

Education

BS/MS/PhD in CS/AI/ML (or equivalent)

Tools

Xcode

Job description

Apple is seeking an Applied Machine Learning Engineer to join the Developer Publications Intelligence team in London. You will work with ML and software engineers to integrate ML models into Apple tools for third-party developers, ensuring cross-functional collaboration and high-quality outputs.

The role emphasizes MLOps/LLMOps excellence, building evaluation pipelines, model quality tracking, and active participation in code reviews and architecture discussions.