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ViiV; GSK Machine Learning Engineer

Job in Durham, Durham County, North Carolina, 27703, USA
Listing for: GlaxoSmithKline
Full Time position
Listed on 2025-12-12
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: ViiV (GSK) Machine Learning Engineer

Site Name: Durham Blackwell Street
Posted Date: Nov 20 2025

We are a specialist pharmaceutical company fully dedicated to developing medicines to treat and prevent HIV. Born out of a partnership between GSK and Pfizer in 2009, with Shionogi joining in 2012, our ambition is to end the HIV epidemic.

As the pioneers in HIV innovation, we constantly look to push the boundaries of science to develop medicines that can change lives and give people more choice. Beyond our medicines, we are proud of our deep connection with the HIV community and work with partners to advance research and development, address HIV-related stigma, increase access to our medicines and provide funding and support to local community organisations to support their efforts in the HIV response.

We are ViiV Healthcare. Here until HIV and AIDS are not.

You will design, build, and deploy machine learning models and AI solutions at scale to accelerate the commercialization of our products. You will collaborate with data scientists, data engineers, product managers and marketing leads to translate real-world problems into clear ML solutions. You will drive measurable impact, grow your skills and help GSK unite science, technology and talent to get ahead of disease together.

Responsibilities
  • Develop and deploy machine learning models for commercial, scientific and operational problems.
  • Design and implement scalable, production-ready AI and ML solutions
  • Design and run experiments to measure the impact of models on key business metrics
  • Collaborate with cross-functional teams to translate domain needs into clear technical requirements.
  • Build reliable, tested, and maintainable code and services for model training and inference.
  • Implement scalable data pipelines and ensure model data quality, versioning, and reproducibility.
  • Monitor model performance in production and iterate to improve reliability and fairness.
  • Contribute to team standards for ML engineering, testing, and documentation.
We are seeking candidates who want to make a real impact through applied machine learning. This is a hybrid-role based out of Durham, NC. We welcome applicants from different backgrounds and experiences who bring humility, collaboration, and a commitment to learning. Why You?

Basic Qualifications
We are seeking professionals with the following required skills and qualifications to help us achieve our goals

  • Bachelor's Degree in Computer Science, Applied Mathematics, Engineering, or equivalent practical experience.
  • 5+ years of experience building and deploying machine learning and AI models in production.
  • Experience in Python, SQL and experience with at least one deep learning framework (PyTorch, Tensor Flow, or similar).
  • Experience in one or more of the follow fields of applied ML – Recommendations, Personalization, Large Language Models (LLMs), LLM Evals
  • Experience with cloud technology stack (eg Azure, GCP or AWS) and ML development environments (eg Data Bricks, MLFlow)
  • Software engineering practices: testing, code reviews, CI/CD, and containerization.

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

  • Advanced degree (Masters or PhD) in Machine Learning, Computer Science, or related field.
  • Experience with patient data, payer data, clinical data and familiarity with relevant data formats.
  • Experience optimizing models for scale, latency, and cost
  • Experience in managing ML and AI in production including data drift tracking, model governance, validation, and responsible AI practices.
  • Track record of shipping ML-powered products or services in industry.
  • Contributions to open-source projects or peer-reviewed publications.
  • Clear communication skills and experience working with cross-functional teams.

We want to hear from you. If you are ready to apply your machine learning skills to work that matters, please apply and tell us how you can contribute to our mission.

please visit GSK US Benefits Summary to learn more about the comprehensive benefits program ViiV offers US employees. All ViiV employees receive the same benefits options and plans as GSK employee.

Why Us?

At ViiV Healthcare, we will not rest until we leave no person living with HIV behind.…

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