AIML Software Engineer, AI for Science

Stellenbeschreibung:

At GSK, we are actively building a future in which state‑of‑the‑art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud‑native solutions at the forefront of software engineering, cloud infrastructure, efficient compute, machine learning and AI.

About the Role

We are looking for Software Engineers with a track record in developing production‑grade, data‑driven software solutions to strengthen our AI for Science (AI4S) team. In this role you will drive the development of scalable cloud infrastructure and efficient compute solutions to support large‑scale AI models and agentic systems, building robust, high‑performance software that enables scientific research using modern cloud technologies and the vast biomedical data sources available at GSK.

Team Culture

The AI4S team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term and are motivated to make this a great place to work. Our leaders are committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives.

Responsibilities

Design and implement scalable infrastructure and software solutions to support large‑scale AI models and agentic systems across the entire software development life cycle.
Design and implement sophisticated machine learning and deep learning pipelines that can handle massive amounts of data with optimal resource utilization.
Develop and maintain cloud‑native architectures that enable seamless deployment and scaling of AI/ML workloads.
Deliver robust, tested and high‑performance code in an agile environment.
Liaise with AI/ML engineers, data scientists and domain experts to ensure fit‑for‑purpose infrastructure and data pipelines for cutting‑edge scientific projects.

Qualifications (Required)

A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) or equivalent professional software engineering experience.
Advanced programming expertise in Python and a proven track record of delivering robust, scalable software solutions.
Experience with cloud platforms (AWS, GCP, Azure) and cloud‑native architectures.
Passion for software design and commitment to the development of reusable, scalable and testable software components.
Basic understanding of a major deep learning framework (PyTorch, JAX, TensorFlow).
Knowledge of command‑line tools and shell scripting.
Familiarity with software engineering best practices, including continuous integration (CI) and continuous deployment (CD), containerization and infrastructure as code.
Strong problem‑solving and debugging skills, and experience working in cluster settings or cloud‑based environments.
Fluency in English.

Preferred Qualifications

Familiarity with machine learning principles and state‑of‑the‑art modelling approaches.
Experience designing, developing and deploying commercial cloud‑native software and infrastructure.
Experience building and deploying large‑scale AI models and agentic systems in production environments.
Experience architecting, developing and deploying distributed training pipelines for large models with PyTorch or TensorFlow.
Expertise in performance optimization, cost optimization and efficient compute resource management in cloud environments.
Contributions to relevant open‑source projects.
Knowledge or interest in disease biology, molecular biology and medicine.
Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).

Benefits & Compensation

In the United States, the annual base salary for new hires in this position ranges from $136,125 to $226,875, depending on work location. The position also offers an annual bonus and eligibility to participate in GSK’s share‑based long‑term incentive program. Additional benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, paid caregiver/parental leave and medical leave.

EEO Statement

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.