Senior Machine Learning Engineer, GlaxoSmithKline

# Senior Machine Learning Engineer at GSK: Driving the Future of Medicine Through AI

GSK presents a compelling opportunity for accomplished Machine Learning Engineers to join their ambitious mission of revolutionizing healthcare through advanced AI and Machine Learning. This role is for individuals who are passionate about leveraging cutting-edge technology to develop novel therapies, create personalized medicines, and ultimately improve patient outcomes while reducing costs and side effects. If you thrive in a dynamic environment where scientific innovation meets technological prowess, this position is worth serious consideration for your career path.

At its core, this role is about building and deploying sophisticated ML models that directly impact biological systems and disease treatment. GSK's vision is clear: to harness AI/ML to get ahead of disease, and this Senior Machine Learning Engineer will be instrumental in making that vision a reality.

Key Advantages for Candidates:

• Pioneering Work: Be at the forefront of applying advanced AI/ML to solve complex biological problems and develop life-changing therapies. This is an opportunity to contribute to a truly impactful scientific endeavor.
• Career Growth & Mentorship: GSK emphasizes long-term hiring and is committed to your career development from day one. As a senior member, you'll have the chance to mentor junior engineers, honing your leadership skills and knowledge sharing.
• Agile & Collaborative Environment: The AI/ML team operates on principles of ownership, accountability, continuous development, and collaboration. This fosters a supportive and productive work atmosphere.
• Tangible Impact: The role involves shipping high-performing ML-powered products into production, meaning your work will have a direct and measurable impact on GSK's mission and patient care.
• Breadth and Depth of ML: You'll have the opportunity to work across the entire ML stack, while also deepening your expertise in at least one specialized area.
• Emphasis on Code Quality: The role demands high standards in code quality, testing, and best practices, providing an excellent environment to refine your software engineering skills.

Key Considerations for Candidates:

• Problem-Solving Prowess: This role requires the ability to take ill-defined problems, clearly formulate objectives, and execute on solutions to build high-performing products and services.
• Software Engineering Foundation: Beyond ML expertise, strong software engineering skills, including experience shipping stable, tested, and performant code in an agile setting, are crucial. Python proficiency and experience with deep learning frameworks like PyTorch or TensorFlow are essential.
• Domain Knowledge (A Plus): While not strictly required, an educational or professional background in the biological sciences (e.g., genetics, molecular biology) would be a significant advantage, allowing for a deeper understanding of the biological systems you'll be modeling.
• Commitment to Best Practices: A mindset that embraces committing early and often, prioritizing metrics over models initially, and delivering high-quality production code is highly valued.
• Communication & Collaboration: Regularly demoing work, sharing lessons learned, and acting as a technical mentor are key components of this role, requiring strong communication and interpersonal skills.

This Senior Machine Learning Engineer position at GSK offers a unique chance to blend your technical expertise with a profound desire to improve global health. It's an opportunity to grow, lead, and innovate within a company that is truly dedicated to getting ahead of disease. If you are a seasoned ML engineer looking for a role with purpose and impact, this could be the perfect next step in your career journey.