Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance Swift code generation tools and fine-tune machine learning models.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a creative team and make a real impact in developer tools.
- Qualifications: Proficiency in ML toolkits, strong programming skills, and experience with large language models.
- Other info: Be part of a dynamic engineering team with exciting projects.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in Greater London is seeking an Applied ML Engineer to enhance Swift code generation tools. In this role, you will fine-tune machine learning models and collaborate with various teams to ensure excellent software products for third-party developers.
Key qualifications include:
- Proficiency with ML toolkits
- Strong programming skills
- Experience with large language models
The position promises to be a creative and integral part of the engineering team.
Applied ML Engineer - LLM Code Generation for Dev Tools employer: Apple
Contact Detail:
Apple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied ML Engineer - LLM Code Generation for Dev Tools
✨Tip Number 1
Network like a pro! Reach out to folks in the tech community, especially those working with ML and code generation. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to ML and large language models. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and maybe even do some mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Applied ML Engineer - LLM Code Generation for Dev Tools
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML toolkits and programming skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about enhancing Swift code generation tools and how your experience with large language models makes you a perfect fit for us.
Showcase Your Projects: If you've worked on any cool projects related to machine learning or code generation, make sure to mention them! We love seeing practical examples of your work that demonstrate your skills and creativity.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Apple
✨Know Your ML Toolkits
Make sure you brush up on the machine learning toolkits mentioned in the job description. Be ready to discuss your experience with them and how you've used them in past projects. This shows that you're not just familiar with the tools, but you can also apply them effectively.
✨Showcase Your Programming Skills
Prepare to demonstrate your programming skills, especially in Swift. You might be asked to solve a coding problem or explain your thought process behind a previous project. Practising common coding challenges can help you feel more confident during this part of the interview.
✨Understand Large Language Models
Since the role involves working with large language models, make sure you understand their architecture and applications. Be prepared to discuss how you've fine-tuned models in the past and any challenges you faced. This will highlight your expertise and problem-solving abilities.
✨Collaborative Mindset
This position requires collaboration with various teams, so be ready to talk about your teamwork experiences. Share examples of how you've worked with others to achieve a common goal, especially in software development. This will show that you’re a team player and can contribute positively to the engineering team.
