At a Glance
- Tasks: Build and integrate machine learning models while driving MLOps excellence.
- Company: Join Apple’s Developer Publications Intelligence team in a diverse, inclusive environment.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Every voice matters in our dynamic and innovative workplace.
- Why this job: Make an impact with cutting-edge technology and collaborate with talented teams.
- Qualifications: Strong programming skills in Python, Swift, or Go; experience with MLOps toolkits.
The predicted salary is between 60000 - 80000 € per year.
APPLE seeks an Applied Machine Learning Engineer for its Developer Publications Intelligence team in Greater London. The role involves building and integrating machine learning models, driving MLOps excellence, and collaborating with cross-functional teams.
Candidates should have strong programming skills in Python, Swift, or Go and experience with MLOps toolkits. A degree in Computer Science, AI, or equivalent experience is preferred.
The position offers a diverse and inclusive work environment where every voice matters.
Applied ML Engineer — LLM Evaluations & MLOps in London employer: Apple
APPLE is an exceptional employer, offering a vibrant and inclusive work culture in Greater London that values innovation and collaboration. Employees benefit from continuous growth opportunities, access to cutting-edge technology, and the chance to work alongside talented professionals in the field of machine learning. With a commitment to diversity and a focus on employee well-being, APPLE provides a rewarding environment for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Engineer — LLM Evaluations & MLOps in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at APPLE. 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 a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for the interview by brushing up on MLOps tools and Python programming. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Applied ML Engineer — LLM Evaluations & MLOps in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills in Python, Swift, or Go. We want to see how you can apply these skills in real-world scenarios, so don’t hold back on sharing relevant projects or experiences!
Tailor Your Application:Take a moment to customise your application for the Applied ML Engineer role. Mention specific experiences that relate to building and integrating machine learning models, as well as your familiarity with MLOps toolkits. This helps us see how you fit into our team!
Be Yourself:We value diversity and inclusion at StudySmarter, so let your personality shine through in your application. Share your unique perspective and experiences that make you a great fit for our collaborative environment.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Apple
✨Know Your ML Models
Make sure you brush up on the machine learning models you've worked with. Be ready to discuss how you've built and integrated them in past projects, especially in relation to LLM evaluations. This shows your hands-on experience and understanding of the role.
✨Showcase Your MLOps Knowledge
Familiarise yourself with various MLOps toolkits and be prepared to talk about how you've used them to drive excellence in your previous roles. Highlight any specific tools you've implemented and the impact they had on your projects.
✨Programming Proficiency is Key
Since strong programming skills in Python, Swift, or Go are essential, make sure you can demonstrate your coding abilities. Consider preparing a small coding challenge or discussing a project where you utilised these languages effectively.
✨Emphasise Collaboration
As the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others. Discuss any challenges you faced and how you overcame them, showcasing your ability to work well in diverse environments.
