At a Glance
- Tasks: Design and implement machine learning systems for Hopper's pricing engine.
- Company: Join Hopper, a leading fintech company with an entrepreneurial spirit.
- Benefits: Enjoy a competitive salary, generous benefits, and remote work flexibility.
- Other info: Be part of a dynamic team with opportunities for growth and innovation.
- Why this job: Make a real impact on revenue and customer experience with cutting-edge AI technology.
- Qualifications: 5+ years of experience in Python, Scala, SQL, and strong collaboration skills.
The predicted salary is between 60000 - 72000 £ per year.
Hopper is looking for a Software Engineer to join their Fintech Foundation team in Greater London. This role involves designing and implementing machine learning systems that power Hopper's pricing engine, directly impacting revenue and customer experience.
The ideal candidate will have:
- 5+ years of experience
- Proficiency in Python, Scala, and SQL
- The ability to collaborate effectively across teams
The company offers a competitive salary, generous benefits, and an entrepreneurial culture.
Senior ML Engineer — Real-Time AI Pricing (Remote) in London employer: Hopper
Hopper is an exceptional employer that fosters an entrepreneurial culture, encouraging innovation and collaboration among its teams. With a competitive salary and generous benefits, employees are empowered to grow their skills in a dynamic environment while making a tangible impact on the company's pricing engine and customer experience. Working remotely from Greater London offers the unique advantage of flexibility, allowing for a balanced work-life integration.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer — Real-Time AI Pricing (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Hopper or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving real-time systems. This will not only demonstrate your expertise but also your passion for the field.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python, Scala, and SQL skills. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're genuinely interested in joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior ML Engineer — Real-Time AI Pricing (Remote) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning systems and the specific languages mentioned, like Python and Scala. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about real-time AI pricing and how you can contribute to our team. This is your chance to show off your personality and enthusiasm!
Showcase Your Projects:If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing practical examples of your work and how they relate to our needs.
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!
How to prepare for a job interview at Hopper
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Scala, and SQL. Brush up on your coding skills and be ready to discuss how you've used these languages in past projects, especially in relation to machine learning systems.
✨Showcase Your Collaboration Skills
Since the role involves working across teams, prepare examples of how you've successfully collaborated with others in previous roles. Highlight any cross-functional projects where you made a significant impact.
✨Understand the Business Impact
Familiarise yourself with Hopper's pricing engine and how machine learning influences revenue and customer experience. Be prepared to discuss how your work can directly contribute to these areas.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, as this will demonstrate your analytical skills and approach to real-time AI challenges.
