AI/ML Engineer β€” Biomedical AI for Drug Discovery (Hybrid)

AI/ML Engineer β€” Biomedical AI for Drug Discovery (Hybrid)

Full-Time 80000 - 98000 Β£ / year (est.) No working from home possible
Gsk

At a Glance

  • Tasks: Design and build AI models for real-world biomedical challenges.
  • Company: Join GSK, a leader in innovative healthcare solutions.
  • Benefits: Enjoy a hybrid work model, competitive salary, and career development opportunities.
  • Other info: Collaborate with experts in a dynamic and agile environment.
  • Why this job: Make a difference in drug discovery using cutting-edge AI technology.
  • Qualifications: Experience in AI/ML and a passion for biomedical applications.

The predicted salary is between 80000 - 98000 Β£ per year.

GSK is seeking an AI/ML Engineer to design, build and validate models for real‑world scientific problems across diverse data sources.

You will research, implement, and deliver AI solutions leveraging HPC and GSK's biomedical datasets.

You will collaborate with biology and experiments experts to ensure optimal data collection, processing, and model deployment in an agile environment.

This role is hybrid with locations in the UK, Heidelberg, and Zug.

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AI/ML Engineer β€” Biomedical AI for Drug Discovery (Hybrid) employer: Gsk

GSK is an exceptional employer located in Greater London, offering a dynamic and inclusive work environment that fosters innovation and collaboration. As a Senior FinOps Product Manager, you will have the opportunity to drive impactful projects while benefiting from robust employee growth opportunities and a culture that values diverse perspectives. With a commitment to professional development and a focus on agile methodologies, GSK empowers its employees to thrive in their careers while contributing to meaningful advancements in cloud financial management.

Gsk

Contact Details:

Gsk Recruitment Team

We think you need these skills to ace AI/ML Engineer β€” Biomedical AI for Drug Discovery (Hybrid)

AI Solutions Development
Machine Learning
High-Performance Computing (HPC)
Data Processing
Model Validation
Collaboration with Biological Experts
Agile Methodologies