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ViiV (GSK) Machine Learning Engineer

ViiV Healthcare
United States, North Carolina, Durham
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
This role will focus on development and deployment of AI and ML solutions for the commercial organization at scale. The responsibilities for this role include:

  • 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, TensorFlow, 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 DataBricks, 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.

#LI-ViiV

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. Until the 39 million people living with HIV is down to zero, we will continue searching for new ways to limit the impact of HIV.

We are the only pharmaceutical company solely focused on combating, preventing, and ultimately eradicating HIV and AIDS. At ViiV Healthcare, we do things differently. Born out of a partnership between GSK and Pfizer in 2009, with Shionogi joining in 2012, we are determined to help end the HIV epidemic. We are guided by our mission to leave no person living with HIV behind and it is this mission that unites our employees located across the globe. We combine expertise in research, manufacturing, policy and more to push the boundaries of what people think is possible in HIV treatment and care. As a result of our connection with GSK, we are able to draw on their proud history and resources. This means that you would receive all the employee benefits offered by GSK.

Living our mission of leaving no person living with HIV behind means keeping inclusion and diversity at the heart of everything we do - from our breakthrough innovation, to our diverse portfolio of medicines as well as the work we do to partner with HIV communities. Having atruly inclusive culture where we're all able to be ourselves and feel like we belong will make us an even stronger team, better able to perform as a business and deliver on our mission to leave no person living with HIV behind.

If you require an accommodation or other assistance to apply for a job at ViiV, please contact the ViiV Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

ViiV 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.

Important notice to Employment businesses/ Agencies

ViiV does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact ViiV's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to ViiV. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and ViiV. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of ViiV. ViiV shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, ViiV may be required to capture and report expenses ViiV incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure ViiV's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

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