Applied Machine Learning Engineer - Developer Publications

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

Summary

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives.

Our Developer Publications Intelligence team seeks a creative engineer who has a robust knowledge of large language models (LLMs), Machine Learning infrastructure, and experience with LLM-evaluations at scale. Strong engineering fundamentals are required.

Description

As an Applied Machine Learning Engineer in the Developer Publications Intelligence team, you will join a multi-discipline team of passionate Machine Learning and Software engineers to build and integrate ML models into existing and future tools produced by Apple for third-party developers. We strive for excellence and believe strongly in the quality of our output. As a member of the team, you will work alongside a team of domain experts in specific core subject areas, enable cross functional collaboration with other departments at Apple, contribute to architecture discussions, code review and proposals.

Responsibilities

• Driving MLOps/LLMOps excellence within the team: including evaluation pipelines, monitoring, observability, and deployment best practices
• Building and maintaining LLM evaluation pipelines to assess model quality, track regressions, and support continuous improvement cycles
• Engaging in code review, pair programming and architecture discussions with other members of the team

Minimum Qualifications

• Strong programming skills (Python, Swift, Go or other language)
• Experience with MLOps/LLMOps toolkits and frameworks
• Comprehensive knowledge and hands‑on experience with LLM evaluations
• A learning attitude to continuously improve self and team

Preferred Qualifications

• BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)
• Experience with: Xcode, Swift and developing for Apple’s platforms
• Familiarity with on‑device LLMs

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Role Number: 200660448-2114