SENIOR MLOPS ENGINEER
HYBRID (LONDON)
£80,000-£90,000
COMPANY:
Our client is a leading digital healthcare company delivering a range of services directly to people's homes through innovative AI technology. With a rapidly growing teams, they are dedicated to improving healthcare access and outcomes for millions of individuals.
ROLE:
- Deploy, maintain, and monitor Machine Learning models to enhance value for stakeholders.
- Guide tooling selection for ML and health data infrastructure in the cloud environment.
- Contribute to the development of a health data platform, ensuring resilience and adaptability.
- Facilitate collaboration between Data Scientists and Data Engineering teams.
- Advocate for data quality and observability across ML models and data systems.
- Evaluate and implement new Data Science and AI tools, focusing on practical deployment and cost management.
REQUIREMENTS:
- Proficiency in cloud data infrastructure, particularly GCP (Azure experience is advantageous).
- Hands-on experience deploying and maintaining ML models in production environments.
- Strong skills in SQL and Python programming.
- Sound understanding of data modeling best practices.
- Familiarity with FHIR-related technologies is highly desirable.
- Experience deploying LLMs at scale is a plus.
NEXT STEPS:
If this role looks of interest, please reach out to Joseph Gregory