Senior MLOps Architect for Biomedical AI Platform

Senior MLOps Architect for Biomedical AI Platform

Full-Time 81000 - 99000 Β£ / year (est.) Home office (partial)
Boehringer Ingelheim GmbH

At a Glance

  • Tasks: Lead MLOps architecture for a cutting-edge Biomedical AI platform and oversee the model lifecycle.
  • Company: Join Boehringer Ingelheim, a leader in innovative healthcare solutions.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and team development.
  • Why this job: Make a significant impact in AI while shaping the future of biomedical technology.
  • Qualifications: Proven experience in MLOps engineering and strong leadership skills.

The predicted salary is between 81000 - 99000 Β£ per year.

Boehringer Ingelheim in London seeks a senior leader in MLOps Engineering to own the architecture and standards for the AI Accelerator.

You will drive the end-to-end model lifecycle from training to production deployment and governance.

You will define tooling, platforms and practices that enable large-scale training, experiment tracking, deployment, monitoring and governance, while coaching the growing team.

This is a hybrid role with about 4 days in the office.

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Senior MLOps Architect for Biomedical AI Platform employer: Boehringer Ingelheim GmbH

Boehringer Ingelheim is an exceptional employer, recognised as a Top Employer in the UK, offering a supportive work culture that prioritises employee well-being and professional growth. As a Senior ML Engineer in London, you will be at the forefront of biomedical AI, collaborating with leading scientists and engineers to make impactful contributions to human health while enjoying a hybrid work model that promotes work-life balance.

Boehringer Ingelheim GmbH

Contact Details:

Boehringer Ingelheim GmbH Recruitment Team

We think you need these skills to ace Senior MLOps Architect for Biomedical AI Platform

MLOps Engineering
AI Model Lifecycle Management
Architecture Design
Tooling and Platform Definition
Experiment Tracking
Deployment Strategies
Monitoring and Governance