Senior Engineering Program Manager: Apple Music, AI/ML

Apple; Greater London; Remote; GBP 90,000 - 150,000; Full time

Job summary

Apple Inc. in London is seeking an Engineering Program Manager to drive ML-related programs from planning to launch.

You will partner with ML engineers and stakeholders to define requirements for model development, evaluation, and deployment within Apple Music. You will collaborate across Engineering, Design, Product, QA, Legal, Finance, Privacy, Marketing, and Operations to support AI/ML capabilities and infrastructure while translating technical work into clear executive updates and risk

Qualifications

• Substantial experience as an Engineering Program Manager.
• Strong technical program manager with a proven track record in driving software development initiatives.
• Strong ML fluency: hands-on experience driving ML programs with understanding of model training, evaluation and serving.
• Demonstrated ability to manage complex dependency chains across multiple engineering organisations.

Responsibilities

• Lead projects/programs through the software development lifecycle from planning to launch.
• Partner with stakeholders and ML engineers to define requirements for model development, evaluation, and deployment.
• Collaborate with Engineering, Design, Product, QA, Legal, Finance, Privacy, Marketing, Operations, and other orgs to support AI/ML capabilities in Apple Music.
• Translate technical work, such as model readiness, into clear executive updates and risk assessments.
• Flexible working with teams across US timezones.
• Help establish processes to improve how our products are built and executed.

Skills

Engineering program management

ML fluency

Cross-functional collaboration

Stakeholder management

Education

Computer Science or Engineering degree

Job description

Selection changes the language of the page/content

London, England, United Kingdom Machine Learning and AI

Apple Services is an exciting environment and a dynamic development organization. With customers around the world, we are a fast-growing marketplace for music, movies, TV shows, books, podcasts, and apps. We're looking for people who can partner with our stakeholders and Engineering teams to ship complex AI/ML-powered music experiences, driving programs from model development through evaluation, serving, and launch. You will bring deep technical domain expertise to drive server-side initiatives under tight release cycles, moving fluidly between ML research, engineering, and production infrastructure. This is not a task-based job; you will be responsible for successful outcomes and delivery. Strong fundamentals are a requirement but you have more. You take responsibility; you feel a personal stake in the product you ship; you communicate responsibilities and scope clearly; you value integrity; you thrive in conflict; you know how things work; you work for the success of the entire Program Management team; you thrive in uncertainty and strive to bring order to it; you have deep wisdom and judgment; you keep your eye on the ball; you build strong relationships; you are aware of politics but do not get mired in them; you are constantly looking to improve yourself and your team; and you ship code which millions of customers will use.

Description

• Lead projects/programs through the software development lifecycle from planning (which includes scoping, prioritizing, resource allocation, and timelines) to launch.
• Partner with stakeholders and ML engineers to define functional and technical requirements for model development, evaluation, and deployment, including data and serving infrastructure.
• Collaborate with Engineering, Design, Product, QA, Legal, Finance, Privacy, Marketing, Operations, and other organizations both inside and outside of Apple to support AI/ML capabilities and foundational infrastructure in Apple Music.
• Translate deeply technical work, such as model readiness, into clear executive updates and risk assessments.
• Flexible working with teams across US timezones.
• Help establish processes to improve how our products are built and executed.

Minimum Qualifications

• Substantial experience as an Engineering Program Manager.
• Strong technical program manager with a proven track record in driving software development initiatives.
• Strong ML fluency: hands-on experience driving ML programs, with a working understanding of model training, evaluation, and serving (e.g., offline/online metrics, offline/online evaluation, deployment tradeoffs).
• Demonstrated ability to manage complex dependency chains across multiple engineering organisations.

Preferred Qualifications

• Experienced program manager with a proven track record in driving GenAI, machine learning, and software development initiatives.
• Experience in the music industry, including working with music labels, is a plus.
• Understanding of waterfall and agile project management methodologies.
• Strong facilitation skills to drive complex, cross-functional, and comprehensive projects.
• Exceptional verbal and written communication, including presentation skills to all levels of an organisation.
• Experience with establishing processes and/or team culture.
• Passionate about protecting privacy while delivering key product insights.
• Prior software development experience is a plus.
• Computer Science or Engineering majors preferred.

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.

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.