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- Tasks: Drive AI innovations by developing and scaling machine learning models.
- Company: Leading music and entertainment company in London with a vibrant culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a creative team and make an impact in the music industry with AI.
- Qualifications: Strong Python skills and a degree in a technical field required.
- Other info: Diverse applicants encouraged; dynamic environment with exciting projects.
The predicted salary is between 36000 - 60000 £ per year.
A leading music and entertainment company in London is seeking an ML Engineer / Data Scientist to drive AI innovations. This hybrid role will focus on developing and scaling machine learning models to enhance our business intelligence capabilities.
The ideal candidate will have a strong background in Python and ML, and should possess a Bachelor's degree in a technical field. We encourage applicants from diverse backgrounds to apply.
Applied AI ML Engineer - Hybrid, Rapid Modeling in London employer: Warner Music Group
Contact Detail:
Warner Music Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI ML Engineer - Hybrid, Rapid Modeling in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨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, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and ML concepts, and be ready to discuss your past projects in detail. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Plus, it gives you a better chance to stand out in the hiring process.
We think you need these skills to ace Applied AI ML Engineer - Hybrid, Rapid Modeling in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and machine learning in your application. We want to see how your skills can drive AI innovations, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to developing and scaling ML models, as it shows us you’re genuinely interested.
Be Yourself: We value diversity and want to know who you are beyond your technical skills. Share a bit about your background and what drives you in the field of AI and ML. It helps us get a sense of your personality!
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 this exciting opportunity.
How to prepare for a job interview at Warner Music Group
✨Know Your ML Models
Make sure you brush up on your machine learning models and algorithms. Be ready to discuss how you've applied them in past projects, especially in Python. This will show your technical expertise and how you can contribute to their AI innovations.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some real-world problems during the interview. Think about how you would approach scaling a model or improving business intelligence capabilities. Demonstrating your thought process will impress them and highlight your analytical skills.
✨Understand the Company’s Vision
Do your homework on the music and entertainment industry, particularly how AI is being used. Familiarise yourself with the company’s recent projects or innovations. This knowledge will help you align your answers with their goals and show genuine interest.
✨Diversity Matters
Since the company encourages applicants from diverse backgrounds, be prepared to discuss your unique perspective. Share experiences that highlight how your background can bring fresh ideas to the team. This will resonate well with their inclusive culture.
