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# Senior Leader AI Systems

- **Company:** Boehringer Ingelheim
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £70,000.0 - £110,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computational Biology, Machine Learning, Information Technology
- **Published:** August 20, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5848067625

## About the Role

* PhD in Machine Learning, Computer Science, Computational Biology or a related field
 * Understanding of foundation model architectures and what it takes to build performant models that scale
 * Strong track record of building and leading high-performing technical teams that build and productionise biomedical AI capabilities for pharmaceutical research and development
 * Experience leading leaders
 * Experience shaping AI innovation strategy and translating strategy into execution with appropriately resourced teams
 * Ability to turn research into real-world impact
 * Excellent stakeholder management skills
 * Knowledge of pharma R&D and the ability to understand business needs
 * Ability to translate AI work for audiences outside the AI specialism
 * Previous pharma R&D experience is advantageous

## Description

* Build and lead a team of world-class AI scientists and ML engineers focused on providing state-of-the-art foundational AI capabilities that support disease understanding, target discovery and safety
 * Build out a senior scientific leadership layer of domain experts who own defined technical problems, lead the solution approach and guide delivery teams
 * Sit on the AI Accelerator Leadership Team and help shape the Accelerators technical strategy and innovation direction
 * Set capability build direction and ensure appropriate resourcing to achieve AI Accelerator and Computational Innovation goals
 * Drive the team from architecture design through training and engineering to production-quality models and model artefacts ready for deployment
 * Set standards for model performance across AI Systems initiatives
 * Partner with AI Reasoning to build trust in model outputs and enable confident decision-making
 * Build and leverage partnerships with academic and third-party collaborators
 * Build the teams external reputation through publications and presence at top-tier ML conferences to attract and retain top talent


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