AI/ML Engineer, Responsible AI
Description For AI/ML Engineer, Responsible AI
GSK is seeking an AI/ML Engineer specializing in Responsible AI to join their innovative team focused on leveraging artificial intelligence and machine learning in drug development. This role sits at the intersection of cutting-edge AI technology and healthcare, working to develop new therapies and personalized drugs that improve patient outcomes while ensuring ethical implementation.
The position offers a unique opportunity to work with state-of-the-art Responsible AI methods applied to real-world biomedical datasets. You'll be part of a dedicated team working on the responsible use of AI in healthcare, focusing on safety and ethical implications throughout the drug development journey. The role combines technical ML engineering expertise with a focus on ethical considerations in healthcare applications.
As part of GSK's AI/ML team, you'll collaborate with research scientists, senior leaders, and other engineers to implement GSK's responsible AI strategy. The work involves building ethical ML pipelines, contributing to research, and supporting various teams across the organization. The position requires strong technical skills in Python, deep learning frameworks, and machine learning principles, combined with an understanding of responsible AI practices.
GSK offers a supportive environment focused on long-term career development, with leaders committed to your growth from day one. The company strongly encourages applications from diverse and underrepresented backgrounds, fostering an inclusive workplace where people can thrive. You'll be part of a global biopharma company that unites science, technology, and talent to get ahead of disease together, working on vaccines, specialty medicines, and general medicines.
This role is perfect for candidates who are passionate about both technical excellence in AI/ML and ensuring its responsible implementation in healthcare. You'll have the opportunity to make a real impact on patient care while working at the forefront of responsible AI development in the pharmaceutical industry.
Responsibilities For AI/ML Engineer, Responsible AI
- Apply state-of-the-art Responsible AI methods to problems in drug discovery and challenging biomedical datasets
- Support different teams across AIML and GSK in building ethical ML pipelines and software products
- Contribute to ML research on the responsible use of AI in drug discovery and clinical applications
- Work closely with research scientists, senior leaders and AI/ML engineers on the implementation of GSK's responsible AI strategy
Requirements For AI/ML Engineer, Responsible AI
- A degree in a quantitative or engineering discipline or equivalent work experience as a professional ML engineer or data scientist
- Demonstrated programming expertise in Python and experience working with complex datasets
- Solid understanding of at least one major deep learning framework (PyTorch, TensorFlow)
- Knowledge of machine learning principles and state-of-the-art modelling approaches
- Track record of research in the field of Responsible AI
- Keenness to learn fast in a new domain
- Proactive communication and problem-solving skills
Benefits For AI/ML Engineer, Responsible AI
- Career Development
- Inclusive Work Environment
- Work-Life Balance
