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GSK Logo GSK · IT - Software Development

AIML Software Engineer, AI for Science

United Kingdom; Germany; Switzerland; United States, London 136125.00 - 226875.00 USD / Year · Job Posted March 01, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • 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
  • Demonstrated advanced programming expertise in Python and in developing and 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 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 (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

Nice to have

  • 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)

What we offer

  • Competitive base salary
  • Annual bonus based on company performance
  • Flexible working options available for most roles
  • Learning and career development
  • Access to healthcare & wellbeing programmes
  • Employee recognition programmes
  • Health care and other insurance benefits (for employee and family)
  • Retirement benefits
  • Paid holidays
  • Vacation
  • Paid caregiver/parental and medical leave
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