AI/ML Software Engineer, Responsible AI
Description For AI/ML Software 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 Software Engineer in the Responsible AI team, you'll be working on cutting-edge projects that directly impact drug discovery and patient care. 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 with state-of-the-art AI technologies while contributing to meaningful healthcare solutions. You'll collaborate with research scientists and senior leaders, implementing responsible AI methods and developing reliable ML pipelines. The role requires strong technical skills in Python and machine learning, with a particular focus on PyTorch.
GSK provides a supportive environment for career growth and development, with leaders committed to your professional advancement. The company strongly encourages applications from diverse backgrounds and offers a culture of continuous learning. You'll be part of a global organization that's focused on uniting science, technology, and talent to get ahead of disease, impacting the health of billions of people worldwide.
The role is based in London at The Stanley Building, offering a chance to work with a world-class team in a company that's leading the way in responsible AI implementation in healthcare. This is an excellent opportunity for someone who wants to combine technical ML expertise with meaningful impact in healthcare and drug discovery.
Responsibilities For AI/ML Software Engineer, Responsible AI
- Implement state-of-the-art Responsible AI methods for drug discovery
- Turn applied AI research into reliable and safe ML pipelines and platforms
- Contribute to ML research on responsible AI use in drug discovery and clinical applications
- Work with research scientists and leaders on GSK's responsible AI strategy
Requirements For AI/ML Software Engineer, Responsible AI
- Degree in quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering) OR equivalent work experience
- Advanced programming expertise in Python
- Knowledge of machine learning principles and state-of-the-art modelling approaches
- Experience with deep learning framework (preferably PyTorch)
- Knowledge of modern software engineering tools and best practices
- Strong communication and problem-solving skills
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