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 in London employer: Global
Global is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about machine learning and its real-world applications. Located in the vibrant city of London, employees benefit from a collaborative environment, ample opportunities for professional growth, and the chance to work on cutting-edge technology in the digital advertising space. With a strong emphasis on employee development and a commitment to work-life balance, Global stands out as a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer — Real-Time Ad Targeting & Production in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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, especially those related to real-time ad targeting. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and deep learning concepts. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer — Real-Time Ad Targeting & Production in London
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
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, the algorithms you used, and how you tackled challenges. This is your chance to show off your expertise!
✨Python Proficiency is Key
Since Python is a must-have skill for this role, practice coding problems and be prepared to demonstrate your coding skills during the interview. Familiarise yourself with libraries like TensorFlow or PyTorch, as they might come up in discussions.
✨Cloud Experience Matters
Get comfortable talking about your experience with production systems in a cloud environment. Be ready to explain how you've deployed ML models in the cloud and any challenges you faced. This will show that you can handle real-world applications of ML technology.
✨Team Collaboration is Crucial
Since you'll be working with a high-performing team, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve influenced project outcomes through teamwork. This will demonstrate that you're not just a tech whiz but also a great team player.
