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- Tasks: Enhance ad fraud detection using real-time traffic tracking and ML models.
- Company: A fast-growing SaaS scale-up in the UK with a dynamic culture.
- Benefits: Salary between £80,000 to £110,000, hybrid work, and career growth.
- Why this job: Join a high-impact team and make a difference in ad tech.
- Qualifications: Strong Python and big data skills required.
- Other info: Enjoy a flexible work environment with autonomy and innovation.
The predicted salary is between 80000 - 110000 £ per year.
A growing SaaS scale-up in the UK is seeking a Staff Engineer to enhance their ad fraud detection capabilities. This role offers a salary of £80,000 to £110,000 depending on experience and location, with a hybrid working policy of two days in-office weekly.
You will work on real-time traffic tracking, optimizing big data, and deploying ML models in a high-impact environment. If you thrive in fast-paced, autonomous settings and possess strong Python and big data skills, this opportunity is for you.
Staff Engineer: Real-Time ML & Big Data for Ad Tech in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer: Real-Time ML & Big Data for Ad Tech in London
✨Tip Number 1
Network like a pro! Reach out to folks in the ad tech space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them during interviews. We want to see how you tackle real-time traffic tracking and big data challenges.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and ML concepts. We recommend doing mock interviews with friends or using online platforms to simulate the experience. Confidence is key!
✨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 Staff Engineer: Real-Time ML & Big Data for Ad Tech in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and big data. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background in real-time ML and ad tech makes you a perfect fit for our team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in fast-paced environments. We love seeing how you approach problems, especially in high-impact settings like ad fraud detection.
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 Jobster
✨Know Your Tech Inside Out
Make sure you brush up on your Python and big data skills before the interview. Be ready to discuss specific projects where you've implemented real-time ML or optimised big data solutions. This will show that you not only understand the theory but can apply it in a practical setting.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in fast-paced environments. Think about situations where you had to make quick decisions or adapt to changing requirements, especially in ad tech or fraud detection. This will demonstrate your ability to thrive in the role.
✨Understand the Company’s Mission
Research the company’s goals and values, particularly around ad fraud detection. Being able to articulate how your skills align with their mission will set you apart. It shows that you're not just looking for any job, but that you're genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technology stack they use, and future projects. This not only shows your interest in the role but also helps you gauge if the company culture and work environment are a good fit for you.
