AI for Science: Cloud-Native ML Infra Engineer

AI for Science: Cloud-Native ML Infra Engineer

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and build scalable cloud infrastructure for AI models and systems.
  • Company: GSK, a leading science-driven healthcare company in London.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and research.
  • Why this job: Join a cutting-edge team and make a real impact in AI for science.
  • Qualifications: Experience in cloud-native architectures and software engineering.

The predicted salary is between 63000 - 77000 Β£ per year.

GSK in London is seeking a Software Engineer to join the AI for Science (AI4S) team. You will design, build and operate scalable cloud infrastructure and services that support AI models and agentic systems, ensuring reliability in production and tight integration with scientists and data sources.

You will work hands-on on cloud-native architectures, CI/CD, monitoring and model-serving infrastructure, collaborating with ML engineers to deliver robust, high-performance software for research.

AI for Science: Cloud-Native ML Infra Engineer employer: GSK

GSK is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Stevenage. With a strong commitment to employee growth, you will have access to extensive development opportunities while working on groundbreaking medicine projects. The hybrid work model and future relocation to Cambridge provide a unique advantage, ensuring a vibrant environment for both personal and professional advancement.

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Contact Details:

GSK Recruitment Team

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

Cloud Infrastructure Design
Cloud-Native Architectures
CI/CD
Monitoring
Model-Serving Infrastructure
Collaboration with ML Engineers
Software Development