At a Glance
- 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.
- Other info: Dynamic work environment with opportunities for personal and professional growth.
- 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.
The predicted salary is between 36000 - 60000 £ 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) employer: American Express Global Business Travel
American Express Global Business Travel is an exceptional employer, offering a dynamic work culture that prioritises employee growth and development. With flexible benefits tailored to individual needs and a focus on fostering strong relationships, this role in the United Kingdom provides a unique opportunity to thrive in a collaborative environment while leading impactful client engagements.
Contact Details:
American Express Global Business Travel Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer II — AI for Travel Tech (Manchester)
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We can’t stress enough how personal connections can give you the inside scoop on the company culture and even lead to referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AI projects, especially those involving Python. We want to see your coding prowess and how you've tackled real-world problems with machine learning.
✨Tip Number 3
Ace the interview by practising common ML engineering questions. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are, the better you'll perform!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage directly with us.
We think you need these skills to ace ML Engineer II — AI for Travel Tech (Manchester)
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 our company. Be sure to mention any travel tech experience you have—it’s a big plus for us!
Showcase Your Collaboration Skills:Since we value teamwork, include examples of how you've worked collaboratively in past roles. Whether it’s through coding sprints or brainstorming sessions, let us know how you’ve contributed to a team environment.
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 Stuff
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 theory but can also implement it effectively.
✨Python Proficiency is Key
Since strong coding skills in Python are a must, practice coding challenges or projects that showcase your abilities. Be prepared to solve problems on the spot during the interview, as this will demonstrate your coding prowess and problem-solving skills.
✨Show Your Collaborative Spirit
This role values collaboration, so be ready to share examples of how you've worked effectively in teams. Highlight any experiences where you contributed to group projects or helped others succeed, as this aligns with the company's commitment to inclusion and teamwork.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI initiatives and how they measure success. This not only shows your genuine interest in the role but also gives you a chance to assess if the company culture aligns with your values and career goals.
