At a Glance
- Tasks: Design and build machine learning pipelines to enhance developer workflows.
- Company: Join Apple’s innovative Insight & Release Technologies team.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on solving complex problems.
- Why this job: Be at the forefront of AI in software delivery, impacting millions of users.
- Qualifications: Experience in ML engineering and strong software development skills required.
The predicted salary is between 80000 - 100000 € per year.
Do 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.
Responsibilities
- Design and build machine learning pipelines.
- Evaluate, integrate, and optimize ML models and agentic workflows.
- Develop intelligent systems that reason over code coverage data to surface meaningful insights, prioritize under‑tested areas, and recommend targeted test strategies.
- Build and improve semantic code search capabilities that allow engineers to find relevant code, patterns, and examples across large‑scale internal codebases using natural language and embedding‑based retrieval.
- Apply ML techniques to advance static analysis tooling, including smarter bug detection, vulnerability identification, and code smell classification, beyond what traditional rule‑based approaches can achieve.
- Partner with platform and product teams to deeply understand engineer pain points and translate them into practical, high‑impact ML solutions.
- Lead the design of generative AI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
- Drive technical direction, facilitate alignment across organizations, and mentor engineers across the team.
Minimum Qualifications
- 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.
Preferred Qualifications
- Experience with GenAI techniques or GenAI‑related concepts.
- Bachelor's degree in Computer Science, Machine Learning, or equivalent practical experience.
At Apple, we believe in treating all applicants fairly and equally. We are a registered Disability Confident employer and 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.
Senior Machine Learning Engineer, Agentic Workflows - Software Delivery in London employer: Apple
Apple is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Senior Machine Learning Engineers to thrive. With a commitment to employee growth, you will have access to cutting-edge technologies and the opportunity to work alongside talented professionals in a dynamic environment. Located in a vibrant tech hub, Apple offers competitive benefits and a supportive atmosphere that encourages creativity and meaningful contributions to the future of software delivery.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer, Agentic Workflows - Software Delivery in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Apple or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. We love seeing what you've built!
✨Tip Number 3
Prepare for interviews by practising common ML engineering questions and coding challenges. Mock interviews with friends or using online platforms can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who want to make a difference in software delivery.
We think you need these skills to ace Senior Machine Learning Engineer, Agentic Workflows - Software Delivery in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Machine Learning Engineer role. Highlight your experience in ML engineering, software development, and any relevant projects that showcase your ability to design and build machine learning pipelines.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your passion for innovation and collaboration. Share specific examples of how you've tackled complex problems in the past and how you can contribute to enhancing developer workflows at Apple.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Include your experience with APIs, system design, and any GenAI techniques you've worked with. This will help us see how you can lead technical project strategies and optimise ML infrastructure.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at Apple
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially those relevant to software development and system design. Be ready to discuss your experience with ML pipelines and how you've optimised models in past projects.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, prepare examples of how you've successfully collaborated in the past. Highlight any experiences where you translated complex technical issues into practical solutions for non-technical stakeholders.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of APIs, distributed systems, and architecture. Practise explaining your thought process when designing scalable software products, as this will demonstrate your problem-solving skills.
✨Demonstrate Your Passion for Innovation
Apple values innovation, so be prepared to discuss your enthusiasm for new technologies and how you've applied them in your work. Share any insights on how AI can enhance developer productivity and improve workflows, as this aligns with the team's goals.
