At a Glance
- Tasks: Lead AI platform development and oversee data integration with a talented tech team.
- Company: Join American Express Global Business Travel, a leader in the travel industry.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Ideal for problem solvers looking to lead in a dynamic tech landscape.
- Why this job: Make an impact in AI while working in a fast-paced, innovative environment.
- Qualifications: Strong background in data modelling, AWS, and programming skills in Python and Java.
The predicted salary is between 80000 - 100000 £ per year.
American Express Global Business Travel in Westminster is seeking a talented technology lead specializing in Data/AI engineering. You will oversee data integration and contribute to AI platform development while collaborating with various technologists.
The ideal candidate has a strong background in data modeling, AWS technologies, and proficiency in programming languages like Python and Java. The role emphasizes problem-solving skills and leadership abilities within a fast-paced environment.
Lead AI Platform Engineer employer: American Express Global Business Travel
American Express Global Business Travel is an exceptional employer, offering a dynamic work culture in the heart of Westminster that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, making it an ideal place for those looking to grow their careers in technology and AI. Join a team where your expertise in data engineering will be valued and where you can make a meaningful impact on the future of business travel.
Contact Details:
American Express Global Business Travel Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Platform Engineer
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We think you need these skills to ace Lead AI Platform Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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