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Boehringer Ingelheim is currently hiring on FindSponsorJobs across IT (4).
Live Boehringer Ingelheim roles
Senior Cloud Engineer
Boehringer Ingelheim
London, UK
THE POSITION The Senior Cloud Engineer, ML Platforms is responsible for building, maintaining and evolving the cloud infrastructure that enables machine learning activities within Computational Biology. Working closely with researchers, ML engineers and platform teams, you will ensure that AWS-based environments remain secure, scalable and reliable while supporting the full machine learning lifecycle, from experimentation and model training through deployment and production operations. As part …
Senior Staff AI Infrastructure Engineer
Boehringer Ingelheim
London, UK
AI ACCELERATOR Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients.? The AI Accelerator?exists to change that. Based in?London?and?sitting within Computational Innovation?(@computationalinnovation),?a global organisation?spanning?computational biology, human genetics, d…
Senior Staff MLOps Engineer
Boehringer Ingelheim
London, UK
AI ACCELERATOR Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients.? The AI Accelerator exists to change that.?Based in London and sitting within Computational Innovation (@computationalinnovation), a global organisation spanning computational biology, human genetics, d…
Senior Staff AI Infrastructure Engineer
Boehringer Ingelheim
Binfield, Bracknell
Salary: £70,000 - 110,000 per year Requirements: Were looking for a candidate with a PhD or an MSc with equivalent experience in a STEM subject. Extensive senior staff-level experience as an infrastructure, platform, or systems engineer for compute-intensive workloads, including setting architecture, standards, and technical direction for a team or function. Deep expertise across the AI compute infrastructure stack, including high-performance and GPU compute, storage and file systems, networkin…