Role Opportunity Score
Expected applicants: ~30–50
This Senior MLOps Engineer role is remote in the UK, focusing on a niche stack with only about 30-50 qualified applicants worldwide. The equity component and the 5+ years of experience required significantly narrow the field, making this a rare opportunity.
Evidence Dossier
Remote Details
Scope: EU Remote
Role Summary
As an MLOps Engineer, you will focus on optimizing, deploying, and operating large-scale machine learning models that power Boltz Lab, ensuring advanced models run efficiently, reliably, and cost-effectively across distributed systems. You will work closely with ML Researchers to turn trained models into production-ready services by optimizing performance and scaling workloads in multi-GPU and cloud environments. The role suits someone who thrives on technical ownership and operational excellence deploying machine learning systems at scale for scientific use.
Stack Required
Compensation
Requirements
AI Tools Culture
AI mentionedLast seen on career page: 1mo ago
Posted: 1mo ago