AI/ML Engineer for Biomedical AI & Science (Hybrid)

Gsk; Greater London; Hybrid; GBP 70.000 - 110.000; Vollzeit

Zusammenfassung

GSK in the United Kingdom is seeking AI/ML Engineers for the AI for Science (AI4S) team to develop and validate machine learning models for real-world scientific problems. You will leverage high-performance computing and biomedical data sources to build agentic AI systems.

You will design, implement, and deliver robust, high-performance code in an agile environment, collaborating with biology and medicine experts to ensure optimal data collection and processing for machine learning models.

Qualifikationen

• Bachelor’s, Master’s or Doctorate in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others) or equivalent work experience delivering 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 programming in Python.
• Experience in software engineering and ML best practices, including version control, CI/CD, containerization, and shell scripting.
• Fluency in English.

Aufgaben

• Design and implement AI/ML-driven solutions across the model development life cycle.
• Research and develop state-of-the-art ML models and agentic systems for scientific tasks.
• Deliver robust, tested, high-performance code in an agile environment.
• Collaborate with biology, medicine and experimentation experts to ensure optimal data collection and processing for ML models.

Kenntnisse

PyTorch

JAX

TensorFlow

Python

CI/CD

Containerization

Shell scripting

ML literature

Software engineering

Ausbildung

Bachelor’s, Master’s or Doctorate degree in a quantitative or engineering discipline

Jobbeschreibung

GSK in the United Kingdom is seeking AI/ML Engineers for the AI for Science (AI4S) team to develop and validate machine learning models for real-world scientific problems. You will leverage high-performance computing and biomedical data sources to build agentic AI systems.

You will design, implement, and deliver robust, high-performance code in an agile environment, collaborating with biology and medicine experts to ensure optimal data collection and processing for machine learning models.