Associate Principal AI Engineer - Mathematical Optimisation

In this role you will design, build, and support end-to-end AI and optimisation solutions to tackle complex pharma challenges. You will join a global team to scale analytics across AstraZeneca, driving productivity and impact on patients. You’ll collaborate with engineers, data scientists and scientists to deliver robust, scalable tools and apply state-of-the-art optimisation at scale. This is a hands-on, product-focused engineering role with opportunities to shape how the business operates.

• Competitive salary
• Excellent benefits
• Hybrid work / in-office flexibility
• Growth and learning opportunities
• Collaborative culture
• Inclusive environment

• Contribute to design and development of end-to-end AI solutions incorporating mathematical optimisation, modelling and simulation.
• Visualise complex data and model outputs using modern front-end tech.
• Collaborate with senior optimisation and AI engineers to deliver through the product lifecycle.
• Work with colleagues to enhance tech stack and enable adoption of AI and software engineering advances.
• Contribute to multiple solutions spanning diverse business areas, sometimes concurrently.
• Be self-driven, curious, innovative, and committed to continuous learning.

• Experience delivering operations research solutions for real-world problems.
• Proficiency with mathematical optimisation software (CPLEX, Gurobi, SCIP, OR-Tools).
• Experience with heuristic and meta-heuristic algorithms.
• Knowledge of optimisation, simulation, and statistics.
• Working knowledge of LLM tools.
• Software development experience using Python and deployment practices (CI/CD, testing, version control).
• Ability to translate complex business challenges into well-defined engineering problems.

• Creative
• Collaborative
• Product-focused
• Mathematical optimisation
• Operations research
• Heuristic and meta-heuristic algorithms