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- Tasks: Lead the design and build of an innovative AWS AI platform.
- Company: LSEG, a dynamic organisation that values innovation and diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Join a collaborative team focused on pushing technological boundaries.
- Why this job: Drive AI adoption and make a significant impact in a cutting-edge tech environment.
- Qualifications: Extensive AWS experience, strong CI/CD background, and Infrastructure-as-Code proficiency.
The predicted salary is between 80000 - 100000 £ per year.
LSEG is seeking a Manager to lead the design and build of their next generation AWS AI platform. This role involves providing technical leadership, owning architectural decisions, and collaborating with internal teams and vendors.
Candidates should have extensive AWS platform experience, a strong CI/CD background, and proficiency in Infrastructure-as-Code tools. The position is integral to accelerating AI adoption, and LSEG offers a dynamic organizational culture that values innovation and diversity.
AWS AI Platform Engineering Lead in London employer: LSEG
Contact Detail:
LSEG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS AI Platform Engineering Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that AWS AI Platform Engineering Lead role.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your AWS platform knowledge and CI/CD practices. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 3
Showcase your projects! If you've built anything using Infrastructure-as-Code tools, make sure to highlight that in your discussions. We love seeing real-world applications of your skills, so bring your A-game!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for innovative minds to join our dynamic culture at LSEG.
We think you need these skills to ace AWS AI Platform Engineering Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive AWS platform experience and CI/CD background. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about leading the design and build of our next-gen AWS AI platform. Let us know how your technical leadership can drive innovation at LSEG.
Showcase Collaboration Skills: Since this role involves working with internal teams and vendors, make sure to highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
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 LSEG
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Understand the latest features and services, especially those related to AI and machine learning. Be ready to discuss how you've used AWS in past projects and how it can be leveraged for LSEG's next-gen platform.
✨Showcase Your CI/CD Expertise
Prepare to talk about your experience with Continuous Integration and Continuous Deployment. Have specific examples ready that demonstrate how you've implemented CI/CD pipelines in previous roles, particularly in relation to AWS. This will show that you can lead the technical aspects of the role effectively.
✨Emphasise Collaboration Skills
Since this role involves working with internal teams and vendors, be prepared to discuss your collaboration experiences. Share examples of how you've successfully worked in cross-functional teams and how you’ve navigated challenges in a collaborative environment.
✨Be Ready for Architectural Discussions
Expect questions around architectural decisions and design patterns. Brush up on best practices for building scalable and resilient systems on AWS. Being able to articulate your thought process and decision-making will demonstrate your technical leadership capabilities.