Senior Director of AI Systems

Senior Director of AI Systems

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
KEMIO Consulting

At a Glance

  • Tasks: Lead a team to develop and deploy cutting-edge biomedical AI systems at scale.
  • Company: Join a leading global pharmaceutical organisation focused on innovative AI solutions.
  • Benefits: Competitive salary, leadership opportunities, and the chance to make a real impact in healthcare.
  • Other info: Opportunity to influence AI development in a dynamic R&D environment.
  • Why this job: Shape the future of biomedical AI and drive scientific advancements in drug discovery.
  • Qualifications: Experience in large-scale ML systems, team leadership, and knowledge of biomedical data.

The predicted salary is between 80000 - 100000 £ per year.

  • Senior Director - Biomedical Foundation Models
  • London

The Senior Director, AI Systems will be responsible for building the technical foundations required to deploy biomedical foundation models at scale.

The mandate includes establishing engineering standards, leading model architecture decisions, guiding pre-training and fine-tuning strategies, and ensuring that multimodal AI systems are designed for production deployment rather than isolated research outputs.

The position requires a leader who can balance technical ambition with practical delivery: someone who understands what foundation models can enable, how to build them responsibly, and how to align AI systems development with the scientific and commercial priorities of a global pharmaceutical organisation.

Key Responsibilities

  • Lead and develop a team of AI Scientists and ML Engineers focused on biomedical foundation model development.
  • Set the technical vision and engineering standards for large-scale AI systems across multimodal biomedical data.
  • Oversee model architecture, pre-training, fine-tuning, multimodal fusion, validation, deployment, and production readiness.
  • Partner with Applied AI, Analytics, AI Enablement, and R&D stakeholders to ensure models are aligned with drug discovery priorities.
  • Build a culture of engineering excellence, technical rigour, and scalable delivery.
  • Translate advances in AI research into practical, production-grade systems.
  • Provide senior technical leadership across stakeholders, budgets, priorities, and organisational decision-making.
  • Support the strategic adoption of AI across discovery, translational research, and related biomedical workflows.

Essential experience includes

  • Building and deploying large-scale ML systems or foundation models in production.
  • Leading teams of ML Engineers, AI Scientists, or AI Researchers.
  • Strong knowledge of foundation model architectures, including pre-training, fine-tuning, multimodal modelling, and deployment at scale.
  • Experience setting engineering standards and production-quality expectations.
  • Exposure to pharmaceutical R&D or drug discovery workflows.
  • Senior leadership experience, including team growth, budget ownership, and stakeholder management.
  • UK-based location or willingness to relocate to London.

Strongly preferred experience includes

  • Work with multimodal biomedical data such as medical imaging, omics, EHRs, or related datasets.
  • Experience bridging AI research and production engineering.
  • Familiarity with target identification, patient stratification, translational research, or clinical development timelines.

The role offers the chance to influence how biomedical AI is developed, scaled, and embedded across a major R&D environment - not as a theoretical capability, but as a practical engine for scientific impact.

To express interest or recommend a suitable candidate, please contact us confidentially.

Keywords: AI / ML / Machine learning / artificial intelligence / foundation models / genomics foundation models / self-supervised learning / representation learning / patient representation learning / perturbation modelling / leader / leadership / strategy / strategic / techbio / biotech / biology / biological / biotechnology

Senior Director of AI Systems employer: KEMIO Consulting

KEMIO Consulting is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development and leadership training, ensuring that our team members thrive in their careers. Our inclusive culture fosters creativity and teamwork, making KEMIO a rewarding place to contribute to groundbreaking advancements in biomedical AI.

KEMIO Consulting

Contact Details:

KEMIO Consulting Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Director of AI Systems

Get Involved in Local Research Communities

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We think you need these skills to ace Senior Director of AI Systems

AI Systems Development
Biomedical Foundation Models
Model Architecture
Pre-training Strategies
Fine-tuning Strategies
Multimodal AI Systems
Production Deployment

Some tips for your application 🫡

Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show KEMIO Consulting that you have the hands-on skills they need.

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How to prepare for a job interview at KEMIO Consulting

Brush Up on Lab Techniques

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