AI for Science: Cloud-Native ML Software Engineer

AI for Science: Cloud-Native ML Software Engineer

Full-Time 50000 - 70000 € / year (est.) No home office possible
GlaxoSmithKline

At a Glance

  • Tasks: Design scalable infrastructure and software solutions for large-scale AI models.
  • Company: Join GlaxoSmithKline's innovative AI for Science team.
  • Benefits: Competitive salary, diverse workplace, and opportunities for growth.
  • Other info: Agile environment that values diversity and encourages unique perspectives.
  • Why this job: Make a real impact in scientific research using cutting-edge cloud-native technologies.
  • Qualifications: Strong Python skills and experience with cloud platforms required.

The predicted salary is between 50000 - 70000 € per year.

GlaxoSmithKline is seeking a Software Engineer to join the AI for Science team. This role involves designing scalable infrastructure and software solutions for large-scale AI models, enabling scientific research with cloud-native technologies.

The ideal candidate will have strong Python programming skills and experience with cloud platforms, ensuring high-performance code delivery in an agile environment.

GSK values diversity and encourages applications from various backgrounds.

AI for Science: Cloud-Native ML Software Engineer employer: GlaxoSmithKline

GlaxoSmithKline is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within the AI for Science team. Employees benefit from a commitment to diversity, robust professional development opportunities, and the chance to contribute to groundbreaking scientific research using cutting-edge cloud-native technologies in a supportive environment.

GlaxoSmithKline

Contact Detail:

GlaxoSmithKline Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI for Science: Cloud-Native ML Software Engineer

Tip Number 1

Network like a pro! Reach out to current or former employees at GSK on LinkedIn. A friendly chat can give us insider info about the team and the role, plus it shows our genuine interest.

Tip Number 2

Show off your skills! If you’ve got a GitHub or portfolio showcasing your Python projects or cloud-native solutions, make sure to share it during interviews. It’s a great way to demonstrate what we can bring to the table.

Tip Number 3

Prepare for technical challenges! Brush up on your coding skills and be ready for live coding sessions. Practising common algorithms and cloud technologies will help us shine in those tricky moments.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how our experience aligns with GSK’s mission in AI for Science.

We think you need these skills to ace AI for Science: Cloud-Native ML Software Engineer

Python Programming
Cloud Platforms
Scalable Infrastructure Design
Software Solutions Development
High-Performance Code Delivery
Agile Methodologies
AI Model Implementation

Some tips for your application 🫡

Show Off Your Python Skills:Make sure to highlight your Python programming experience in your application. We want to see how you've used it in real projects, especially in cloud-native environments.

Talk About Your Cloud Experience:If you've worked with cloud platforms, let us know! Share specific examples of how you've designed scalable solutions or optimised performance in your previous roles.

Keep It Agile:Since we work in an agile environment, mention any experience you have with agile methodologies. We love to see how you adapt and deliver high-performance code quickly!

Diversity is Key:At StudySmarter, we value diverse backgrounds. Don’t hesitate to share your unique experiences and perspectives in your application – they could be what sets you apart!

How to prepare for a job interview at GlaxoSmithKline

Know Your Python Inside Out

Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems, especially in relation to AI and machine learning.

Familiarise Yourself with Cloud Technologies

Since this role involves cloud-native technologies, it’s crucial to understand the cloud platforms relevant to GSK. Research their preferred tools and be prepared to talk about your experience with them, whether it's AWS, Azure, or Google Cloud.

Showcase Your Agile Experience

GSK operates in an agile environment, so be ready to share examples of how you've worked in agile teams. Discuss your role in sprints, stand-ups, and how you adapt to changing requirements while delivering high-performance code.

Emphasise Diversity and Inclusion

GSK values diversity, so don’t shy away from sharing your unique background and perspective. Think about how your experiences can contribute to a diverse team and be prepared to discuss why inclusivity matters to you.