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- Tasks: Develop and optimise machine learning models in a collaborative team.
- Company: Global travel tech company based in Greater London.
- Benefits: Flexible work model and comprehensive benefits package.
- Why this job: Contribute to innovative tech solutions in a dynamic environment.
- Qualifications: Proficiency in Java/Kotlin or Python and back-end development experience.
- Other info: Great opportunity for growth in a modern software practice.
The predicted salary is between 42000 - 84000 £ per year.
A global travel technology company in Greater London is seeking a Software Development Engineer II to develop and optimize machine learning models. You will work in a collaborative team, ensuring modern software practices and high-quality solutions.
Required skills include:
- Proficiency in object-oriented programming, particularly in Java/Kotlin or Python
- Experience with back-end development
This is a great opportunity to contribute to innovative tech solutions in a dynamic environment. The role offers a flexible work model and includes a comprehensive benefits package.
ML Platform Software Engineer II in London employer: Expedia, Inc.
Contact Detail:
Expedia, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Platform Software Engineer II in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects or any relevant software you've developed. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your coding skills and be ready to discuss your experience with Java, Kotlin, or Python. Practice common technical questions to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and enthusiasm!
We think you need these skills to ace ML Platform Software Engineer II in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with object-oriented programming, especially in Java/Kotlin or Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the opportunity and how you can contribute to our team. We love seeing genuine enthusiasm for innovative tech solutions.
Showcase Your Team Spirit: Since we value collaboration, mention any experiences where you’ve worked in a team setting. Highlight how you contributed to achieving common goals, as this will resonate well with us.
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 in our dynamic environment!
How to prepare for a job interview at Expedia, Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your object-oriented programming skills, especially in Java/Kotlin or Python. Be ready to discuss your past projects and how you've optimised machine learning models. The more you can demonstrate your technical prowess, the better!
✨Showcase Your Collaborative Spirit
Since this role involves working in a team, be prepared to talk about your experiences collaborating with others. Share examples of how you’ve contributed to team projects and how you handle feedback. Companies love candidates who can work well with others!
✨Understand Modern Software Practices
Familiarise yourself with modern software development methodologies like Agile or DevOps. Be ready to discuss how you’ve applied these practices in your previous roles. This shows that you’re not just a coder but someone who understands the bigger picture.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s tech stack, team dynamics, or future projects. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!
