At a Glance
- Tasks: Build and scale machine learning solutions for a cutting-edge digital ad platform.
- Company: Join a global leader in digital advertising with a dynamic data team.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with a high-performing team in a fast-paced environment.
- Why this job: Make a real impact by influencing ML technology in the advertising industry.
- Qualifications: Strong ML and deep learning experience, Python skills, and cloud production systems knowledge.
The predicted salary is between 60000 - 80000 £ per year.
Global is seeking a Senior Machine Learning Engineer to join their Data team in London. This hybrid role focuses on building, deploying, and scaling machine learning solutions for their digital ad platform. The successful candidate will collaborate with a high-performing team and influence real-world applications of ML technology.
Essential skills include:
- Strong experience in ML and deep learning
- Python proficiency
- Experience with production systems in a cloud environment
Senior ML Engineer — Real-Time Ad Targeting & Production employer: Global
Global is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have access to cutting-edge projects and collaborative opportunities within a high-performing team, all while enjoying the benefits of a hybrid work model that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer — Real-Time Ad Targeting & Production
✨Tip Number 1
Network like a pro! Reach out to current employees at Global or similar companies on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to real-time applications. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and deep learning concepts. We should practice coding challenges and system design questions to feel confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how our skills align with the role.
We think you need these skills to ace Senior ML Engineer — Real-Time Ad Targeting & Production
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and deep learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about real-time ad targeting and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills:Since we’re looking for someone with strong Python proficiency and experience in cloud environments, make sure to mention specific tools and technologies you’ve worked with. We love seeing concrete examples of your work!
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 Global
✨Know Your ML Stuff
Make sure you brush up on your machine learning and deep learning concepts. Be ready to discuss your past projects, especially those involving real-time applications. We recommend preparing specific examples that showcase your problem-solving skills and how you've successfully deployed ML solutions.
✨Python Proficiency is Key
Since Python is a must-have skill for this role, ensure you're comfortable with it. We suggest reviewing common libraries like TensorFlow or PyTorch, and be prepared to write some code during the interview. Practising coding challenges can help you feel more confident.
✨Cloud Experience Matters
Familiarise yourself with cloud environments, as this role involves production systems in the cloud. We advise you to understand the basics of AWS, Google Cloud, or Azure, and be ready to discuss how you've used these platforms in your previous work.
✨Team Collaboration is Crucial
This position requires working closely with a high-performing team, so be prepared to talk about your collaboration experiences. We suggest thinking of examples where you influenced a project positively through teamwork, as this will show your ability to fit into their culture.
