At a Glance
- Tasks: Design and optimise intelligent systems using AI techniques to solve real-world problems.
- Company: Global travel technology company with a focus on innovation.
- Benefits: Flexible health plans and professional development opportunities.
- Why this job: Join us to make a positive impact in the travel industry with cutting-edge technology.
- Qualifications: Extensive experience in machine learning and strong analytical skills required.
- Other info: Collaborative environment with opportunities for career growth.
The predicted salary is between 48000 - 72000 £ per year.
A global travel technology company is seeking a Machine Learning Engineer III in Manchester to design and optimize intelligent systems. You will utilize AI techniques including machine learning and deep learning to solve real-world problems. Ideal candidates should have extensive experience, strong analytical skills, and a passion for collaborating across teams.
Flexible benefits are offered, including health plans and professional development opportunities. Join us to impact the industry positively.
Senior ML Engineer III — AI at Scale & Impact in Manchester 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 Senior ML Engineer III — AI at Scale & Impact in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see your analytical prowess!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior ML Engineer III — AI at Scale & Impact in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and deep learning. We want to see how you've tackled real-world problems, so don’t hold back on those examples!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our mission. Let us know why you're excited about the role and what makes you a great fit.
Showcase Your Analytical Skills: In your application, be sure to mention specific projects or experiences that demonstrate your strong analytical skills. We love seeing how you approach problem-solving and optimise systems.
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 American Express Global Business Travel
✨Know Your ML Fundamentals
Brush up on your machine learning and deep learning concepts. Be ready to discuss algorithms, model optimisation techniques, and real-world applications. This will show your depth of knowledge and passion for the field.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical thinking through problem-solving scenarios. Think of examples where you've tackled complex issues using data-driven approaches. This will highlight your ability to contribute effectively to intelligent systems.
✨Collaborate Like a Pro
Since collaboration is key, be ready to share experiences where you worked across teams. Discuss how you communicated technical concepts to non-technical stakeholders, as this shows your ability to bridge gaps and work effectively in a team environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values.