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- Tasks: Design and optimise AI systems that make a real impact in business travel.
- Company: Leading global business travel company with a focus on innovation.
- Benefits: Flexible benefits, travel perks, and a commitment to inclusion.
- Why this job: Join a collaborative team and shape the future of AI in travel tech.
- Qualifications: Experience in AI techniques, statistical modelling, and strong Python coding skills.
- Other info: Dynamic work environment with opportunities for growth and development.
The predicted salary is between 28800 - 48000 £ per year.
A leading global business travel company seeks a Machine Learning Engineer II in Manchester. The role involves designing, building, and optimizing AI systems for business impacts.
Candidates should have robust experience in AI techniques, statistical modeling, and strong coding skills in Python.
The company offers flexible benefits, travel perks, and a commitment to inclusion. Join an innovative team that values collaboration and strives to make AI systems meaningful.
ML Engineer II — AI for Travel Tech (Manchester) in London employer: American Express Global Business Travel
Contact Detail:
American Express Global Business Travel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer II — AI for Travel Tech (Manchester) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the travel tech industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and coding prowess in Python. We recommend sharing this on platforms like GitHub, so potential employers can see your work in action.
✨Tip Number 3
Prepare for those interviews! Brush up on your statistical modelling knowledge and be ready to discuss how you've applied AI techniques in real-world scenarios. We suggest practicing common interview questions with a friend or using mock interview tools.
✨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 ML Engineer II — AI for Travel Tech (Manchester) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI techniques and statistical modelling. We want to see how your skills in Python can contribute to our innovative team, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how you can make a meaningful impact at StudySmarter. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions that demonstrate your coding prowess and problem-solving abilities.
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. Plus, it’s super easy!
How to prepare for a job interview at American Express Global Business Travel
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI techniques and statistical modelling. Be ready to discuss specific projects where you've applied these skills, as well as the impact they had. This shows you're not just familiar with the theory but can also implement it effectively.
✨Show Off Your Python Skills
Since strong coding skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous code. Practise common algorithms and data structures in Python to ensure you're sharp and ready.
✨Emphasise Collaboration
This role values teamwork, so be prepared to share examples of how you've successfully collaborated with others in past projects. Highlight your communication skills and how you’ve contributed to a positive team environment, especially in tech-focused settings.
✨Align with Their Values
Research the company’s commitment to inclusion and innovation. Think about how your personal values align with theirs and be ready to discuss this during the interview. Showing that you resonate with their culture can set you apart from other candidates.