Senior MLOps Engineer - Production ML & GenAI

Senior MLOps Engineer - Production ML & GenAI

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Jaide Health

At a Glance

  • Tasks: Transition ML models from prototype to production and oversee the ML workflow.
  • Company: Join Booksy's innovative Data Science & Applied AI team.
  • Benefits: Enjoy a competitive salary, health cover, and generous holiday allowance.
  • Other info: Fully remote role with opportunities for professional growth.
  • Why this job: Work remotely and collaborate with Data Scientists on impactful ML projects.
  • Qualifications: Strong Python and SQL skills, plus experience with GCP tools.

The predicted salary is between 60000 - 80000 Β£ per year.

Booksy is seeking a Senior ML / MLOps Engineer to join their Data Science & Applied AI team. The role is fully remote and involves collaborating closely with Data Scientists to transition ML models from prototype to production.

Responsibilities include overseeing the ML workflow and ensuring performance within SLAs.

Ideal candidates will have strong Python and SQL skills, experience with GCP tools, and a solid understanding of CI/CD processes.

This position offers competitive salary, health cover, and a generous holiday allowance.

Senior MLOps Engineer - Production ML & GenAI employer: Jaide Health

Jaide Health is an exceptional employer that fosters innovation and collaboration within a remote-friendly environment. With generous benefits such as a lunch stipend, comprehensive health coverage, and six weeks of vacation, employees are empowered to maintain a healthy work-life balance while contributing to groundbreaking AI solutions. The company prioritises diversity and inclusion, ensuring that all team members have the opportunity to grow and thrive in their careers.

Jaide Health

Contact Details:

Jaide Health Recruitment Team

We think you need these skills to ace Senior MLOps Engineer - Production ML & GenAI

Python
SQL
GCP Tools
CI/CD Processes
ML Workflow Management
Collaboration with Data Scientists
Performance Monitoring