Description
At GSK, we see a world where advanced applications of Machine Learning and AI enable us to develop transformational medicines that drive better outcomes for patients at reduced cost and with fewer side effects.
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.
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:
- 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.
Benefits The position may also be eligible for a bonus and/or awards for exceptional performance, and other benefits may include health & wellbeing benefits, pension plan, and paid parental leave & care of family member leave.