Senior Biomedical AI Engineer (Hybrid)

Senior Biomedical AI Engineer (Hybrid)

Full-Time No working from home possible
Boehringer Ingelheim GmbH

At a Glance

  • Tasks: Engineer cutting-edge biomedical AI solutions and collaborate with top scientists.
  • Company: Join Boehringer Ingelheim, a leader in innovative healthcare solutions.
  • Benefits: Enjoy a hybrid work model, competitive salary, and career growth opportunities.
  • Other info: Work in a dynamic environment with a focus on collaboration and innovation.
  • Why this job: Make a real impact in healthcare by transforming research into production-ready AI.
  • Qualifications: PhD in Machine Learning or related field with deep learning expertise.

Boehringer Ingelheim GmbH is looking for a Senior ML Engineer to join their AI Systems team in London. This role involves hands-on engineering work at the forefront of biomedical AI, collaborating with scientists to bring validated research prototypes into production.

The ideal candidate will have a PhD in Machine Learning or a related field, along with a solid track record in deep learning and production-quality model development. This hybrid role offers three days in the office weekly, ensuring a balance of collaboration and flexibility.

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Senior Biomedical AI Engineer (Hybrid) employer: Boehringer Ingelheim GmbH

Boehringer Ingelheim GmbH is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of biomedical AI. With a strong commitment to employee growth, the company provides ample opportunities for professional development while maintaining a flexible hybrid work model that promotes work-life balance. Located in London, employees benefit from being part of a leading organisation at the forefront of scientific advancement, making meaningful contributions to healthcare.

Boehringer Ingelheim GmbH

Contact Details:

Boehringer Ingelheim GmbH Recruitment Team

We think you need these skills to ace Senior Biomedical AI Engineer (Hybrid)

Machine Learning
Deep Learning
Production-Quality Model Development
Collaboration
PhD in Machine Learning or Related Field
Hands-On Engineering
Biomedical AI