At GSK, we are actively working on 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. If this excites you, we would love to chat. About the Role To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production‑grade, data‑driven software solutions. 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. In this role you will

Create scalable infrastructure and software solutions to support large‑scale AI models and agentic systems across the entire software development lifecycle. 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. Collaborate with AI/ML engineers, data scientists, and domain experts to ensure fit‑for‑purpose infrastructure and data pipelines for cutting‑edge scientific projects.

Qualifications & Skills

A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others) OR equivalent work experience as a professional software engineer. Advanced programming expertise in Python and a 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 developing reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Knowledge of command‑line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration, continuous deployment, 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 & Skills

Familiarity with machine learning principles and state‑of‑the‑art modelling approaches. Experience in design, development, and deployment of 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).

Salary and Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges from $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. The position also offers an annual bonus and eligibility to participate in our share‑based long‑term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Equal Opportunity Employer 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. #J-18808-Ljbffr