Senior ML Ops Engineer for Cyber Analytics

Rabobank; Utrecht; Hybrid; EUR 67,000 - 96,000; Full time

Benefits offered by this job

Thirteenth month

8% holiday allowance

Employee Benefit Budget 10%

Development budget

Job summary

Rabobank is seeking an ML Ops Engineer to build and operate production-grade machine learning platforms within the Security Operations Centre, ensuring detection, analytics, and cyber threat mitigation are scalable and reliable.

You will work with data scientists and security experts to deploy, monitor, and continuously improve ML solutions in a hybrid work environment, contributing to Rabobank's cyber resilience and growth.

Qualifications

• At least 7 years of experience in ML Ops, ML engineering, or a similar role.
• Proven deployment and operation of machine learning models in large-scale enterprise production environments.
• Strong experience with CI/CD, automation, cloud-native technologies, and infrastructure-as-code.
• Self-sufficient and able to take ownership.
• Pragmatic and results-oriented.
• Strong collaborator who works effectively with multidisciplinary teams.

Responsibilities

• Build, maintain, and optimise production-ready machine learning pipelines that support advanced cyber security detection and analytics capabilities across the organisation.
• Implement monitoring, observability, and lifecycle management processes that ensure machine learning models remain reliable, performant, and compliant over time.
• Collaborate with data scientists and security professionals to operationalise new machine learning solutions and continuously improve existing platforms and tooling.

Skills

ML Ops

Production deployment

CI/CD

Cloud-native

Infrastructure as Code

Team collaboration

Job description

Rabobank is seeking an ML Ops Engineer to build and operate production-grade machine learning platforms within the Security Operations Centre, ensuring detection, analytics, and cyber threat mitigation are scalable and reliable.

You will work with data scientists and security experts to deploy, monitor, and continuously improve ML solutions in a hybrid work environment, contributing to Rabobank's cyber resilience and growth.