AIML Engineer, AI for Science

At GSK, we see a world where advanced applications of

Machine Learning and AI enable us to develop transformational

medicines that drive better outcomes for patients at reduced cost

and with fewer side effects. AI will also play a role in how we

diagnose and use medicines to enable everyone to do more, feel

better, and live longer. It is an ambitious vision that will

require the development of products at the cutting edge of Machine

Learning and AI.

About the Role To strengthen

our AI for Science (AI4S) team, we are looking for AI / ML Engineers

with a track record in developing and validating machine learning

models for real‑world scientific problems. You will drive the

development of AI models and agentic systems—researching,

designing, implementing, and delivering solutions across a range of

scientific tasks, including open‑ended research questions,

leveraging high‑performance computing and the vast biomedical data

sources available at GSK.

In this role you

will

Design and implement AI / ML‑driven

solutions throughout the entire model development life

cycle.

Research and develop state‑of‑the‑art

machine learning models and agentic systems to solve a variety of

scientific tasks.

Deliver robust, tested, and

high‑performance code in an agile

environment.

Liaise with experts in biology,

medicine and experimentation to ensure optimal data collection and

processing for machine learning

models.

Qualifications &

Skills

Bachelor’s, Master’s or Doctorate

degree in a quantitative or engineering discipline (computer

science, computational biology, bioinformatics, engineering, among

others); or equivalent work experience delivering state‑of‑the‑art

AI / ML solutions.

Experience with at least one

major deep learning framework (PyTorch, JAX,

TensorFlow).

Familiarity with machine learning

literature and state‑of‑the‑art

approaches.

Experience developing and

delivering robust software solutions, including demonstrated

advanced programming expertise in

Python.

Experience in software engineering and

machine learning best practices, including version control,

continuous integration (CI) and continuous development (CD),

containerization, and shell scripting.

Fluency

in English.

Preferred

Qualifications

Experience in design,

development and deployment of commercial AI / ML

software.

Experience with Large Language

Models (LLMs) and Agentic AI (e.g., tool use, multi‑agent

orchestration, deployment and

evaluation).

Contributions to relevant

open‑source projects.

Relevant scientific

publications in AI / ML (e.g., NeurIPS, ICML, ICLR, AAAI),

computational biology or bioinformatics

venues.

Knowledge of 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 &

Benefits In the United States, the annual base salary for new hires

in this position ranges from $160,050 to $266,750, depending on

location, skills, experience and education. The role 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 Employment 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.

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