Applied Machine Learning Engineer - Developer Publications in London
Applied Machine Learning Engineer - Developer Publications

Applied Machine Learning Engineer - Developer Publications in London

London Full-Time 60000 - 80000 £ / year (est.) No home office possible
Apple

At a Glance

  • Tasks: Join a creative team to build and integrate ML models for Apple’s developer tools.
  • Company: Apple, a leader in innovation and diversity.
  • Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
  • Other info: Dynamic environment with a focus on collaboration and career development.
  • Why this job: Make a real impact on technology that changes lives for the better.
  • Qualifications: Strong programming skills and experience with LLM evaluations.

The predicted salary is between 60000 - 80000 £ per year.

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives.

Our Developer Publications Intelligence team seeks a creative engineer who has a robust knowledge of large language models (LLMs), Machine Learning infrastructure, and experience with LLM‑evaluations at scale. Strong engineering fundamentals are required.

As an Applied Machine Learning Engineer in the Developer Publications Intelligence team, you will join a multi‑discipline team of passionate Machine Learning and Software engineers to build and integrate ML models into existing and future tools produced by Apple for third‑party developers. We strive for excellence and believe strongly in the quality of our output. As a member of the team, you will work alongside a team of domain experts in specific core subject areas, enable cross functional collaboration with other departments at Apple, contribute to architecture discussions, code review and proposals.

Responsibilities:
  • Driving MLOps/LLMOps excellence within the team: including evaluation pipelines, monitoring, observability, and deployment best practices
  • Building and maintaining LLM evaluation pipelines to assess model quality, track regressions, and support continuous improvement cycles
  • Engaging in code review, pair programming and architecture discussions with other members of the team
Minimum Qualifications:
  • Strong programming skills (Python, Swift, Go or other language)
  • Experience with MLOps/LLMOps toolkits and frameworks
  • Comprehensive knowledge and hands‑on experience with LLM evaluations
  • A learning attitude to continuously improve self and team
Preferred Qualifications:
  • BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)
  • Experience with: Xcode, Swift and developing for Apple’s platforms
  • Familiarity with on‑device LLMs

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.

Applied Machine Learning Engineer - Developer Publications in London employer: Apple

Apple is an exceptional employer that fosters a culture of innovation and collaboration, where diverse ideas come together to create groundbreaking products. As an Applied Machine Learning Engineer, you will benefit from a supportive environment that prioritises employee growth through continuous learning and cross-functional teamwork, all while working in a location renowned for its commitment to accessibility and inclusivity. With a focus on excellence and quality, Apple empowers its employees to make meaningful contributions that change lives for the better.
Apple

Contact Detail:

Apple Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Applied Machine Learning Engineer - Developer Publications in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Apple. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and MLOps. This is your chance to shine and demonstrate what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with Python, Swift, or Go.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team.

We think you need these skills to ace Applied Machine Learning Engineer - Developer Publications in London

Large Language Models (LLMs)
Machine Learning Infrastructure
MLOps/LLMOps
Python
Swift
Go
LLM Evaluations
Evaluation Pipelines
Monitoring and Observability
Deployment Best Practices
Code Review
Pair Programming
Architecture Discussions
Continuous Improvement

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for machine learning and engineering shine through. We want to see that you’re not just qualified, but genuinely excited about the role and what we do at Apple.

Tailor Your CV: Make sure your CV is tailored to highlight your experience with LLMs and MLOps. We love seeing relevant projects and skills that align with the job description, so don’t hold back on showcasing your best work!

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share specific examples of your past experiences and how they relate to the responsibilities listed in the job description. We want to know you better!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to navigate!

How to prepare for a job interview at Apple

✨Know Your LLMs

Make sure you brush up on your knowledge of large language models. Be prepared to discuss their applications, strengths, and weaknesses. Having specific examples of how you've worked with LLM evaluations will show your expertise and passion for the field.

✨Show Off Your Coding Skills

Since strong programming skills are a must, practice coding in Python, Swift, or Go before the interview. You might be asked to solve a problem on the spot, so being comfortable with coding challenges will help you shine.

✨Engage in Team Dynamics

Apple values collaboration, so be ready to talk about your experiences with code reviews, pair programming, and architecture discussions. Highlight how you’ve contributed to team projects and how you can bring that collaborative spirit to their Developer Publications Intelligence team.

✨Emphasise Continuous Learning

Demonstrate your learning attitude by discussing how you keep up with the latest trends in machine learning and MLOps. Mention any courses, workshops, or personal projects that showcase your commitment to self-improvement and staying ahead in the field.

Applied Machine Learning Engineer - Developer Publications in London
Apple
Location: London

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>