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 team.
- 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 in London employer: myGwork - LGBTQ+ Business Community
myGwork is an exceptional employer that champions diversity and inclusivity, making it a fantastic place for professionals seeking meaningful work in the tech industry. With a strong emphasis on flexibility and a supportive work culture, employees are encouraged to collaborate and innovate while enjoying opportunities for personal and professional growth. Located in a vibrant environment, myGwork offers unique advantages such as access to a diverse network and resources tailored for LGBTQ+ professionals, ensuring a rewarding experience for all team members.
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 in London
✨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 repo showcasing your ML projects. When you get that interview, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ML concepts and coding skills. Use mock interviews with friends or online platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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 in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in ML and deep learning projects. We want to see how your skills align with the role, so don’t be shy about showcasing relevant achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our data team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool ML projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to know what you've done and how it relates to real-time targeting.
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 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 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 how machine learning can enhance its 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 and Culture Fit
This position values a supportive work culture, so be ready to discuss how you adapt to different work environments. Share experiences where you thrived in flexible settings and contributed positively to team dynamics.
