Applied AI Engineer for Drug Discovery & Biotech

GSK; Cambridge; On-site; GBP 102,000 - 170,000; Full time

Job summary

GSK is seeking an Applied AI Engineer to embed within cross-functional teams, designing and deploying practical AI/ML solutions that accelerate drug discovery and decision-making. You will prototype, evaluate, and productionize models, while promoting responsible AI and governance across the enterprise.

The role emphasizes hands-on development, knowledge transfer, and collaboration with scientists, product teams, and domain experts to deliver high-impact outcomes at scale.

Qualifications

• Bachelor's degree or equivalent professional experience in a quantitative field.
• 2+ years of professional experience developing and deploying ML models.

Responsibilities

• Advisory & solution design for AI/ML use cases with cross-functional teams.
• Develop, evaluate, and deploy ML models and AI-powered tools in production.
• Share reusable patterns and pipelines; ensure privacy and governance are embedded.

Skills

Python

ML libraries

Cloud platforms

Docker

Kubernetes

LLM/AI systems

Cross-functional communication

Privacy, ethics, governance

Education

Bachelor's degree in Computer Science/ML/Computational Biology/Bioinformatics/Statistics/Engineering

Tools

GCP

AWS

Azure

MLflow

Weights & Biases

Job description

GSK is seeking an Applied AI Engineer to embed within cross-functional teams, designing and deploying practical AI/ML solutions that accelerate drug discovery and decision-making. You will prototype, evaluate, and productionize models, while promoting responsible AI and governance across the enterprise.

The role emphasizes hands-on development, knowledge transfer, and collaboration with scientists, product teams, and domain experts to deliver high-impact outcomes at scale.