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- Tasks: Design scalable solutions and optimise performance for innovative healthcare projects.
- Company: Global healthcare leader based in London with a focus on R&D technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact on the health of billions through cutting-edge AI/ML technology.
- Qualifications: Significant experience in Python, cloud-native architecture, and data engineering.
The predicted salary is between 48000 - 72000 £ per year.
A global healthcare leader in London is seeking a skilled software engineer to join our R&D Technology team. The ideal candidate will have significant experience in Python programming, cloud-native application architecture, and data engineering.
The role includes:
- Designing scalable solutions on Azure
- Optimizing performance
- Collaborating cross-functionally
This position offers the opportunity to work on innovative projects that impact the health of billions.
Senior Principal Software Engineer, R&D Tech — AI/ML Cloud in London employer: Gsk
Contact Detail:
Gsk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Principal Software Engineer, R&D Tech — AI/ML Cloud in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare and tech sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, cloud-native applications, and any data engineering work. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around Azure and AI/ML concepts. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Principal Software Engineer, R&D Tech — AI/ML Cloud in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python programming and cloud-native application architecture. We want to see how your skills align with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience in data engineering and any relevant projects that demonstrate your ability to design scalable solutions on Azure.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for our R&D Technology team.
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 to impact global health!
How to prepare for a job interview at Gsk
✨Know Your Tech Inside Out
Make sure you brush up on your Python programming skills and cloud-native application architecture. Be ready to discuss specific projects where you've designed scalable solutions, especially on Azure. The more detailed examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you've optimised performance in past projects and be ready to explain your thought process. This is your chance to shine by demonstrating your analytical skills and creativity.
✨Collaboration is Key
Since the role involves cross-functional collaboration, be prepared to discuss how you've worked with different teams in the past. Share examples of successful collaborations and how they led to innovative solutions. This will show that you're a team player who values input from others.
✨Stay Updated on AI/ML Trends
Given the focus on AI/ML, make sure you're aware of the latest trends and technologies in this space. Bring up any relevant projects or research you've done, and don't hesitate to share your thoughts on future developments. This shows your passion for the field and your commitment to continuous learning.
