At a Glance
- Tasks: Lead and own machine learning projects from ideation to deployment.
- Company: A leading travel tech company in Greater London with a focus on innovation.
- Benefits: Dynamic work environment, competitive salary, and opportunities for mentorship.
- Why this job: Make a real impact in the travel industry using cutting-edge machine learning.
- Qualifications: Proven experience in end-to-end ML systems and strong Python skills.
- Other info: Collaborative culture with a passion for innovation and team development.
The predicted salary is between 48000 - 72000 £ per year.
A leading travel technology company in Greater London is seeking a Machine Learning Scientist III. In this role, you will lead and own machine learning projects from ideation to deployment, collaborating across functions to develop impactful solutions.
You should have a proven background in delivering end-to-end machine learning systems, strong skills in Python and ML libraries, and a passion for mentoring team members.
This position offers a dynamic work environment with a focus on innovation and collaboration.
Senior ML Scientist - End-to-End Production employer: Expedia Group
Contact Detail:
Expedia Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Scientist - End-to-End Production
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. 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. This could be anything from GitHub repos to case studies. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and ML libraries, and be ready to discuss your past projects in detail. Practice common interview questions and think about how you can highlight your leadership and mentoring experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Senior ML Scientist - End-to-End Production
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and ML libraries in your application. We want to see how you've delivered end-to-end machine learning systems in the past, so don’t hold back!
Be a Team Player: Since collaboration is key in this role, share examples of how you've worked with others on machine learning projects. We love seeing candidates who can mentor and uplift their teammates!
Tailor Your Application: Take a moment to customise your application for us. Mention specific projects or experiences that align with our focus on innovation and impactful solutions in the travel tech space.
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 this exciting opportunity!
How to prepare for a job interview at Expedia Group
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your experience with end-to-end ML systems, Python, and relevant libraries. Prepare to share specific examples of projects you've led, focusing on the impact they had.
✨Showcase Your Collaboration Skills
Since this role involves working across functions, be prepared to talk about how you've successfully collaborated with different teams in the past. Highlight any experiences where you’ve mentored others or contributed to a team’s success, as this will show your leadership potential.
✨Prepare for Technical Questions
Expect some technical questions that test your knowledge of machine learning algorithms and their applications. Practice explaining complex concepts in simple terms, as this will demonstrate your understanding and ability to communicate effectively with non-technical stakeholders.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current ML projects, the team dynamics, or how they foster innovation. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.