Music AI/ML QE Engineer

Apple; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Apple is seeking a Tools and Automation Engineer to design scalable automated test plans for music machine learning features, partnering with engineering and stakeholder teams to ensure reliable, high-quality deliverables.

The role emphasizes ownership, clear communication of scope and tradeoffs, and building tooling that benefits millions of customers, with a focus on automation reliability and quality.

Qualifications

• BSc in Computer Science or equivalent work experience.

Responsibilities

• Developing and maintaining automated test frameworks, scripts, and tools for functional, regression, integration, and performance testing.

Skills

Python

Java

QA test planning

Communication skills

Independent worker

Data Visualization

Stochastic Automation

Loss Pattern Analysis

ML concepts

LLMs

Education

BSc in Computer Science

Tools

SQL

Databases

Job description

Summary

Posted: 22 Jul 2026

Weekly Hours: 35

Role Number: 200673335-2114

Apple Services sits at the heart of Apple's most beloved experiences, a place where the culture of curiosity, creativity, and relentless attention to detail that defines Apple is channelled into shipping features that reach hundreds of millions of people every day. We're looking for a Tools and Automation Engineer to partner with our Engineering and Stakeholder teams to build the automation, tooling, and testing infrastructure behind complex, customer-facing music recommendation systems (e.g., the dynamically personalised Home tab in Apple Music) under demanding timelines. Bonus points for experience supporting new product introductions. This is not a task-based job; you will be responsible for successful outcomes and delivery. Strong fundamentals in Python or Java are required. Experience with agentic testing, LLMs, or an understanding of stochastic automation is preferred but not essential, we care more about how you think than which specific tools you've used. You take ownership of what you build; you feel a personal stake in the reliability and quality of the systems you ship; you communicate scope and tradeoffs clearly; you value integrity; you thrive in ambiguity and bring order to it; you understand how systems actually work under the hood; you build strong relationships across engineering teams; you are constantly looking to improve your tools, your team, and yourself; and you ship automation that millions of customers benefit from, even if they never see it.

Description

The work will involve designing and implementing scalable automated test plans for music machine learning features. Some of the key responsibilities in this role will include:

• Developing and maintaining automated test frameworks, scripts, and tools for functional, regression, integration, and performance testing
• Invent, build and evaluate novel methods for automating quality analysis of large complex machine learning products
• Investigate issues impacting and discovered by automated tests ensuring issues are accurately identified and resolved
• Create systems that can perform loss pattern analysis on issues identified via automation
• Collaborate cross functionally with various teams to achieve strategic quality goals
• An excellent candidate will have passion for music and value great end-user experiences

Minimum Qualifications

• BSc in Computer Science or equivalent work experience
• Experience developing in Python, Java or similar
• Deep knowledge of QA test planning, bug lifecycle, engineering & release strategies
• Excellent communication skills
• Driven self-starter that can work independently and values collaboration

Preferred Qualifications

• Understanding of Machine Learning and LLMs
• Data Visualisation
• Stochastic Automation
• Loss Pattern Analysis
• Experience with databases and SQL

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

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