Senior MLOps Engineer - Production ML & GenAI

Jaide Health; United Kingdom; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Competitive salary plus bonus

Private health cover

Life insurance

Pension and enhanced parental leave

Generous holiday allowance

Access to global learning and development programme

Job summary

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.

Qualifications

• A track record of putting models into production with Data Scientists.
• Deep understanding of the ML lifecycle from prototype to production.
• Hands-on experience with GCP's Vertex AI and products.

Responsibilities

• Owning the productionisation of machine learning work end to end.
• Collaborating closely with Data Scientists and Engineering.
• Setting standards for MLOps across the organization.

Skills

Putting models into production

ML lifecycle understanding

Strong Python skills

Strong SQL skills

Hands-on GCP experience

CI/CD and production monitoring experience

Tools

Vertex AI

BigQuery

Terraform

Airflow

Job description

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.