At a Glance
- Tasks: Lead AI/ML projects to enhance travel experiences and customer engagement.
- Company: Global leader in travel solutions with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to transforming the travel industry.
- Why this job: Shape the future of travel with cutting-edge AI technology.
- Qualifications: Expertise in AI/ML and strong leadership skills.
The predicted salary is between 43200 - 72000 £ per year.
Collinson is the global, privately-owned company dedicated to helping the world to travel with ease and confidence. The group offers a unique blend of industry and sector specialists who together provide market-leading airport experiences, loyalty and customer engagement, and insurance solutions for over 400 million consumers. Collinson is the operator of Priority Pass, the world’s original and leading airport experiences programme. Travellers can access a network of 1,500+ lounges and travel experiences, including dining, retail, sleep and spa, in over 650 airports in 148 countries, helping to elevate the journey into something special.
Principal AI/ML Engineer in London employer: Collinson
Contact Detail:
Collinson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI/ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI/ML field, especially those connected to Collinson. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your AI/ML expertise. When you get that interview, having something tangible to discuss can really set you apart.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for AI/ML roles. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people at Collinson. Plus, it shows you're genuinely interested in joining the team.
We think you need these skills to ace Principal AI/ML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal AI/ML Engineer role. Highlight your relevant experience and skills that match the job description. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI/ML and how your background aligns with our mission at Collinson. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool AI/ML projects, make sure to mention them! We love seeing real-world applications of your skills. Include links or descriptions that demonstrate your expertise.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Collinson
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Collinson is looking for someone who can bring innovative ideas to the table, so be ready to discuss your past projects and how they relate to their business.
✨Understand Their Business
Dive deep into Collinson's services, especially their airport experiences and customer engagement strategies. Showing that you understand their market and how AI/ML can enhance their offerings will set you apart from other candidates.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on algorithms, data structures, and any relevant programming languages. Practising coding challenges can help you feel more confident when tackling these questions.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've approached complex problems in the past. Collinson values innovative solutions, so share specific examples of how you've used AI/ML to solve real-world issues, and don't forget to highlight the impact of your work.