AI/ML Engineer, Responsible AI
Description For AI/ML Engineer, Responsible AI
GSK is at the forefront of using AI and ML in healthcare, specifically focusing on developing new therapies and personalized drugs for better patient outcomes. The Responsible AI team plays a crucial role in ensuring the ethical and safe implementation of AI in drug development.
As an AI/ML Engineer in the Responsible AI team, you'll be working on applying cutting-edge Responsible AI methods to real-world biomedical datasets. The role combines technical expertise in machine learning with a focus on ethical considerations in healthcare AI applications. You'll be part of a team that values ownership, accountability, and continuous development.
The position offers an opportunity to work on meaningful projects that directly impact drug discovery and patient care. You'll collaborate with research scientists, senior leaders, and other AI/ML engineers to implement GSK's responsible AI strategy. The team is committed to long-term development and creating an inclusive workplace that welcomes diverse perspectives.
Key technical aspects include working with Python, deep learning frameworks like PyTorch or TensorFlow, and handling complex biomedical datasets. You'll be involved in building ethical ML pipelines, contributing to research, and supporting various teams across GSK in implementing responsible AI practices.
GSK offers a supportive environment where people can thrive and grow professionally. The company's focus on uniting science, technology, and talent to get ahead of diseases makes it an exciting place for AI professionals who want to make a real difference in healthcare. The role provides opportunities for continuous learning, collaboration with experts, and contribution to groundbreaking developments in AI-driven drug discovery.
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 different types of complex and/or multi-modal 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 and to develop ML and software engineering skills
- Proactive communication and problem-solving skills
- Proven ability to collaborate with colleagues of various backgrounds and levels of seniority
Benefits For AI/ML Engineer, Responsible AI
- Equal Opportunity Employer
- Flexible Work Arrangements
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