Associate Principal AI Engineer - Mathematical Optimisation
Core
Design, develop, and support end-to-end AI and mathematical optimisation solutions to solve complex real-world problems in the pharmaceutical industry.
Role type
Associate Principal AI Engineer (Mathematical Optimisation)
Builds
Scalable AI and optimisation tools for AstraZeneca's technology landscape
Domain
Pharmaceutical industry + Operations Research / Mathematical Optimisation
Deliverable
production ML models
Required skills
Mathematical optimisation, Operations Research, Heuristic and meta-heuristic algorithms, LLM tools, Python, CI/CD, Version control
Preferred skills
Control systems, Robotics, Full-stack application development, Dashboarding
Technologies
CPLEX, Gurobi, SCIP, OR-Tools
Responsibilities
Design and develop end-to-end AI solutions including modelling and simulation; Visualise complex datasets and model outputs; Collaborate with senior engineers on product delivery; Enhance the technological stack to adopt latest AI advances; Translate complex business challenges into well-defined engineering problems
Seniority
Associate Principal, hands-on IC
