AIML - Site Reliability Engineer (SRE), Siri Knowledge Platforms

Apple Inc.
London
1 year ago
Applications closed

Related Jobs

View all jobs

Applied AIML Lead- Python & Data Science Engineering

Applied AIML Lead & Python Data Science Engineer

Applied AIML Lead- Python & Data Science Engineering

Lead AI/ML Engineer — LLMs, Python & Data Science

Applied AIML Lead- Python & Data Science Engineering

Model Risk Data Scientist: AI/ML Validation & Automation

AIML - Site Reliability Engineer (SRE), Siri Knowledge Platforms

Play a meaningful role in revolutionising how people use their computers and mobile devices, build ground breaking technology for algorithmic search, machine learning, natural language processing & artificial intelligence and work with the teams building the most scalable big-data systems in existence.

Description

As an SRE in the AI/ML organisation within Apple, you will be directly responsible for the infrastructure that powers Siri, search, and other high-impact user-facing solutions running on millions of Apple devices worldwide.You will strive to improve the stability, security, efficiency, and scalability of a 24/7 global service. You will participate in on-call rotations—we have geographically distributed SRE teams for follow-the-sun support. Your strong troubleshooting ability will be used daily to isolate issues and resolve the root cause through investigative analysis. The role also requires building and maintaining accurate, up-to-date documentation reflecting configuration, providing code reviews, and mentoring new team members.An ideal candidate is an independent problem-solver who is focused and capable of exhibiting deftness to handle multiple simultaneous competing priorities and deliver solutions in a timely manner.

Minimum Qualifications

  • Demonstrated a strong sense of ownership and integrity demonstrated through clear communication and collaboration.
  • Sophisticated knowledge of one or more of the following: Kubernetes, containerisation systems, and/or public cloud infrastructure (AWS, GCP).
  • Proficiency programming in Go, Python, or similar language to automate tasks.
  • Hands-on experience managing large numbers of diverse systems with configuration management or software delivery platforms (such as Puppet, Chef, Ansible, and Spinnaker).

Preferred Qualifications

  • Working knowledge of multi-tier applications and their dependencies including load balancing, TCP/IP networking, web services, LDAP and DNS.
  • Proficiency with web server administration including Apache and Nginx.
  • Knowledge of database design, support and administration including Postgres, MySQL, and HBase.
  • Network administration and troubleshooting.
  • Good interpersonal skills shown through previous projects or assignments.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.