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- Tasks: Lead data and machine learning engineering practices to develop scalable solutions.
- Company: Major corporate travel management company in London with a collaborative culture.
- Benefits: Competitive salary, career development opportunities, and excellent benefits.
- Why this job: Make an impact by influencing product vision and mentoring talent in a dynamic environment.
- Qualifications: 2-3 years of experience in development, AWS knowledge, and strong data modeling skills.
- Other info: Join a team that values innovation and offers great career growth.
The predicted salary is between 36000 - 60000 £ per year.
A major corporate travel management company in London is seeking a Data/ML Engineer to lead the excellence of data and machine learning engineering practices. The ideal candidate will have 2-3 years of experience, a strong development background, and knowledge of AWS and data modeling.
You will partner with various teams to develop scalable solutions, mentor talent, and influence product vision within a collaborative culture. Competitive benefits and career development opportunities are included.
AI Platform Engineer III — ML/Data Platform Lead (London) in City of 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 AI Platform Engineer III — ML/Data Platform Lead (London) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and data modelling. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to ML and data engineering. We recommend practicing with friends or using online resources to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Platform Engineer III — ML/Data Platform Lead (London) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data and machine learning engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your AWS knowledge and development background!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how you can contribute to our collaborative culture. We love seeing enthusiasm and a clear vision for how you can make an impact.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. We’re keen to see examples of scalable solutions you’ve developed and how you’ve mentored others in the field. Real-world experience speaks volumes!
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 shows you’re serious about joining our team!
How to prepare for a job interview at American Express Global Business Travel
✨Know Your Tech Inside Out
Make sure you brush up on your AWS knowledge and data modelling skills. Be ready to discuss specific projects where you've applied these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since the role involves mentoring talent and influencing product vision, prepare examples of how you've led teams or projects in the past. Highlight your collaborative approach and how you’ve helped others grow in their roles.
✨Understand the Company Culture
Research the corporate travel management company’s values and culture. Be prepared to discuss how your personal values align with theirs and how you can contribute to a collaborative environment.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. This could be about their current data/ML projects, team dynamics, or future goals. It shows your genuine interest in the role and helps you assess if it’s the right fit for you.
