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AIML Software Engineer, AI for Science

GlaxoSmithKline Pharma GmbH

flexible Full-time Mid Level $136k – $227k/yr 3d ago

About the role

About GSK

At GSK, we unite science, technology, and talent to get ahead of disease together. Our goal is to improve the lives of billions across the world. By bringing together outstanding people in an inclusive environment, we can make an impact on a global scale.

We take on some of the biggest healthcare challenges in the world to deliver results that matter. We prevent and treat disease with vaccines, specialty and general medicines, focusing on the science of the immune system, human genetics, and advanced technologies. We invest in 4 core therapeutic areas: Infectious diseases, HIV, Oncology, Immunology/Respiratory, and future opportunities to impact health at scale.

All of this depends on our people and our culture. A culture that is ambitious for patients – so we deliver what matters better and faster; where we are all accountable for our impact and supported to succeed; and where we do the right thing to meet legal obligations and keep ourselves and others safe both at and through our work. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Inclusion

We want GSK to be a workplace where everyone can feel valued, supported, and seen. Being an inclusive organisation at all levels also brings greater opportunity to create better health outcomes for the patients who rely on us.

Start a career with purpose

At GSK, we unite science, technology, and talent to get ahead of disease together. Our goal is to improve the lives of billions across the world. By bringing together outstanding people in an inclusive environment, we can make an impact on a global scale.

About the Role

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.

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.

Team Culture

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

In this role you will

  • 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.

Why you?

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

  • 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.

Preferred Qualifications & Skills:

If you have the following characteristics, it would be a plus:

  • 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).

Why GSK?

Uniting science, technology, and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology, and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact, and doing the right thing is the foundation for how, together, we deliver for patients, shareholders, and our people.

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.

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive.

Skills

AWSAzureCI/CDGCPJAXPythonPyTorchTensorFlowagile software developmentcloud-native architecturecontainerizationdeep learninginfrastructure as codemachine learningshell scriptingMachine Learning

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