At a Glance
- Tasks: Build and deploy machine learning solutions for real-time ad targeting.
- Company: Join myGwork, a supportive LGBTQ+ business community.
- Benefits: Enjoy a hybrid work model with flexibility and a collaborative culture.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make an impact in digital advertising with cutting-edge machine learning technology.
- Qualifications: Strong experience in ML and deep learning in a commercial setting.
The predicted salary is between 60000 - 80000 £ per year.
myGwork - LGBTQ+ Business Community seeks a Senior Machine Learning Engineer to join their Data team. This role involves building and deploying machine learning solutions to enhance Global's digital ad exchange platform. The ideal candidate will have strong experience in ML and deep learning projects in a commercial environment.
This hybrid position requires collaboration with data engineers and focuses on delivering real-time targeting capabilities across various audiences. Flexibility and a supportive work culture are emphasized.
Senior ML Engineer — Hybrid Real-Time Ad Targeting employer: myGwork - LGBTQ+ Business Community
myGwork is an exceptional employer that champions inclusivity and innovation within the tech industry. With a strong emphasis on flexibility and a supportive work culture, employees are encouraged to collaborate and grow their skills in a dynamic environment. The opportunity to work on cutting-edge machine learning projects in a hybrid setting not only enhances professional development but also contributes to meaningful advancements in digital advertising.
Contact Details:
myGwork - LGBTQ+ Business Community Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer — Hybrid Real-Time Ad Targeting
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at myGwork. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your ML projects. This is your chance to demonstrate your expertise in real-time targeting and deep learning – make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ML concepts and coding skills. Mock interviews with friends or using online platforms can help you feel more confident.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Engineer — Hybrid Real-Time Ad Targeting
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning and deep learning projects. We want to see how you've applied these skills in a commercial environment, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Mention how your background aligns with our focus on real-time targeting capabilities and collaboration with data engineers. It’ll make you stand out!
Be Yourself:We value authenticity! Let your personality shine through in your written application. Share your passion for ML and how you can contribute to our supportive work culture.
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. We can’t wait to hear from you!
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Know Your ML Stuff
Make sure you brush up on your machine learning and deep learning knowledge. Be ready to discuss specific projects you've worked on, the algorithms you used, and the impact they had. This is your chance to showcase your technical expertise!
✨Showcase Collaboration Skills
Since this role involves working closely with data engineers, be prepared to talk about your experience in collaborative environments. Share examples of how you've successfully worked in teams to deliver projects, especially in real-time targeting scenarios.
✨Understand the Business Context
Familiarise yourself with the digital ad exchange platform and its audience targeting capabilities. Being able to connect your technical skills to business outcomes will impress the interviewers and show that you understand the bigger picture.
✨Embrace Flexibility
This hybrid position values flexibility, so be ready to discuss how you adapt to changing circumstances. Share experiences where you've had to pivot quickly or adjust your approach to meet project demands, highlighting your problem-solving skills.
