Boehringer Ingelheim in London is seeking a senior ML Platform Engineer to own end-to-end model training, deployment and lifecycle management within the AI Accelerator. You will ensure provenance, robust registries, and efficient distributed training across compute resources.
The role requires collaboration with research and ML engineering teams, expertise in ML tooling, and strong CI/CD and infrastructure-as-code practices. Hybrid working model with in-office days in London.
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Senior ML Ops Engineer — Production AI Platforms (Hybrid) employer: Boehringer Ingelheim
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. With a focus on innovation in biomedical AI, employees have the opportunity to work on cutting-edge projects in a collaborative environment, while enjoying benefits such as flexible working arrangements and access to continuous learning resources. Located in London, the company fosters a dynamic atmosphere where talented individuals can thrive and make a meaningful impact in the field of healthcare.
