Senior Machine Learning Engineer, Agentic Workflows - Software Delivery
Apple · London, United Kingdom · Software and Services
About this role
Apple is hiring a senior-level Machine Learning Engineer based in London, United Kingdom. The posting calls out experience with LLMs, Distributed Systems, System Design, API Development.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Location
- London, United Kingdom
- Department
- Software and Services
- Posted
- May 13, 2026
More roles at Apple
Job description
from Apple careersDo you want to help define the future of delivering Apple software to customers? Join the Insight & Release Technologies team to work on new technologies that will be used to deliver Apple platforms to millions of customers.
Our team has a passion for innovation and engineering and is looking for individuals with a genuine enthusiasm for collaborating with others to solve sophisticated problems with a focus on the user experience.
You will join a team working on the next generation of software release workflows that enable the software development lifecycle for an ever-growing number of platforms and teams contributing to software products. Our applications integrate with developers’ workflows to enable the software development lifecycle from integrating source code all the way to releasing Apple platforms and assets to customers.
In this role, you will work on bringing AI to our developer productivity tools. You will be at the forefront of building intelligent, agentic systems that help Apple engineers write better, higher-quality code. You will collaborate closely with data, platform, and infrastructure teams to identify high-impact opportunities where ML can meaningfully improve developer workflows.
<h3>Minimum Qualifications</h3>Experience in ML engineering and software development, including experience in system design, architecture, and shipping scalable software products.
Strong software engineering fundamentals (APIs, system design, distributed systems, frameworks architecture)
Experience leading technical project strategy and optimizing ML infrastructure.