Senior ML Engineer for Production Healthcare AI

Llama Recruitment Solutions; Greater London; Ibrido; GBP 60.000 - 80.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive compensation

Strong benefits package

Clear scope for progression

High-visibility role

Descrizione del lavoro

A fast-scaling MedTech company in the UK is seeking a Senior Machine Learning Engineer to own the deployment, operation, and maintenance of ML models in production. You will collaborate with scientists and engineers to enhance AI systems for clinical use. The role requires at least 3 years of experience in production ML environments and strong Python skills. Competitive compensation and clear progression opportunities are offered in a mission-driven company focused on real patient impact.

Competenze

• At least 3 years' experience building and deploying ML systems into production environments.
• Experience scaling ML systems or operating them under real-world constraints.
• Background in healthcare and specifically medical imaging.

Mansioni

• Own the deployment, operation, and maintenance of machine learning models in production.
• Deliver high-quality, well-tested features that support early detection and treatment pathways.
• Collaborate with ML scientists to productionise models intended for clinical use.
• Design, maintain, and improve cloud infrastructure, CI/CD pipelines, and MLOps workflows.
• Monitor model performance and system health, troubleshooting and resolving production issues.
• Introduce new technologies that improve reliability, scalability, or efficiency.

Conoscenze

Python skills

Machine Learning frameworks

Docker

AWS or Azure

Kubernetes

Linux

CI/CD

Data pipelines

MLOps tooling

Health data standards (HL7, FHIR)

Descrizione del lavoro

A fast-scaling MedTech company in the UK is seeking a Senior Machine Learning Engineer to own the deployment, operation, and maintenance of ML models in production. You will collaborate with scientists and engineers to enhance AI systems for clinical use. The role requires at least 3 years of experience in production ML environments and strong Python skills. Competitive compensation and clear progression opportunities are offered in a mission-driven company focused on real patient impact.