AIML Engineer, AI for Science

About the Role

To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine learning models for real-world scientific problems. You will drive the development of AI models and agentic systems — researching, designing, implementing, and delivering solutions across a range of scientific tasks, including open-ended research questions, leveraging high-performance computing and the vast biomedical data sources available at GSK.

Team Culture

The AI4S team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives.

Responsibilities

In this role you will:

• Design and implement AI/ML-driven solutions throughout the entire model development life cycle.
• Research and develop state‑of‑the‑art machine learning models and agentic systems to solve a variety of scientific tasks.
• Deliver robust, tested, and high-performance code in an agile environment.
• Liaise with experts in biology, medicine and experimentation to ensure optimal data collection and processing for machine learning models.

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

• Bachelor’s, Master’s or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience delivering state-of-the-art AI/ML solutions.
• Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow).
• Familiarity with machine learning literature and state-of-the-art approaches.
• Experience developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python.
• Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting.
• Fluency in English.

Preferred Qualifications

If you have the following characteristics, it would be a plus:

• Experience in design, development and deployment of commercial AI/ML software.
• Experience with Large Language Models (LLMs) and Agentic AI (e.g., tool use, multi-agent orchestration, deployment and evaluation).
• Contributions to relevant open-source projects.
• Relevant scientific publications in AI/ML (e.g., NeurIPS, ICML, ICLR, AAAI), computational biology or bioinformatics venues.
• Knowledge of or interest in disease biology, molecular biology and medicine.
• Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).