Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

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

Apple Inc.
London
11 months ago
Applications closed

Related Jobs

View all jobs

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/ML & Data Science Developer — Hybrid, Stevenage

AI/ML Lead: Scalable Models, MLOps & NLP

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.