ML Ops Engineer

Rabobank Gruppe; Utrecht; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Personal development budget

Hybrid work environment

Work-life balance

Job summary

Rabobank is seeking an ML Ops Engineer to build and operate production-grade machine learning pipelines for security analytics and threat detection within the Security Operations Centre.

You will deploy, monitor, and optimise models in enterprise environments, collaborating with data scientists and security professionals to keep systems reliable, scalable, and compliant while advancing cyber resilience.

Qualifications

• 7+ years of experience in ML Ops, ML Engineering, or similar roles.
• Experience deploying and operating ML models in large-scale enterprise production environments.
• Strong experience with CI/CD, automation, cloud-native technologies, and infrastructure-as-code.

Responsibilities

• Build, maintain, and optimise production-ready ML pipelines for advanced cyber security detection and analytics.
• Implement monitoring, observability, and lifecycle management to ensure models remain reliable, performant, and compliant over time.
• Collaborate with data scientists and security professionals to operationalise new ML solutions and improve platforms and tooling.

Skills

Proven ML Ops experience

Deployment in enterprise

CI/CD

Cloud-native technologies

Infrastructure as code

Collaborator in multidisciplinary team

Tools

CI/CD

Cloud platforms

IaC (Terraform/CloudFormation)

Job description

Help protect 9.5 million customers worldwide by ensuring machine learning models and pipelines remain reliable, scalable, and secure in production environments.

You & Your Function

Build, operate, and continuously improve machine learning platforms that strengthen the bank's cyber defence. As an ML Ops Engineer, you ensure that detection and analytics models perform reliably in production, from deployment and monitoring to optimisation and lifecycle management. Working closely with security experts and data scientists, you turn advanced machine learning capabilities into stable, scalable solutions that help identify and respond to cyber threats.

Examples for Practices

• Build and optimise production-grade machine learning pipelines that support security analytics and threat detection.
• Improve model reliability and scalability through automation, monitoring, and cloud-native engineering practices.
• Enable security specialists to apply data science and machine learning techniques effectively in operational environments.

Facts & Figures

• 36 hours per week
• Several machine learning models and pipelines are already running in production within the Security Operations Centre
• 9.5 million customers worldwide

Top 3 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.

You will be part of the Security Operations Centre (SOC), where security experts and data scientists work together to strengthen the bank's cyber resilience through advanced analytics, threat detection, and machine learning.

Together we achieve more than alone

We believe in the power of differences. It is precisely by combining people's differences that we become an even better bank. We are curious about what you add to our team of Security Operations Centre.

"Protecting the bank against cyber threats requires close collaboration between security specialists, engineers, and data scientists. By combining our expertise, we create solutions that are both innovative and operationally reliable."

The people of the Security Operations Centre work every day to proactively identify, analyse, and mitigate cyber threats that could impact the bank and its customers. Collaboration is our approach; as one technically skilled and results-oriented team within Rabobank. We continuously challenge ourselves to improve our capabilities and support each other's growth while delivering measurable impact.

Work on yourself and the world around you at the same time

For us, your development and that of society go hand in hand. That's why we want to invest in you and work together for a better world. We summarise this in one sentence: At Rabobank, you work on yourself and the world around you at the same time. You'll see this reflected in your personal development budget, our hybrid working environment, and a healthy balance between work and home. You can work on banking services for our private and business customers, as well as societal issues such as food and energy transitions.

Why everyone is welcome at Rabobank

At Rabobank, we believe we become stronger through people who complement each other. By embracing our differences, we bring out the best in one another. We seek diversity in areas such as knowledge, skills, and experience, but also in gender, background, and culture. Across every department, we strive for variety and the freedom to be yourself, whoever you are. That's what diversity and inclusion at Rabobank is all about.

You & Your Talent

• At least 7 years of experience in ML Ops, Machine Learning Engineering, or a similar role
• Proven experience deploying and operating 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

You & the application process

You can apply for the ML Ops Engineer vacancy at Rabobank until 20 September 2026.

Questions about the role: contact Mourad el Maouchi, Manager Security Operations, via [e-mail].

Questions about working at Rabobank and the process: contact Charlotte Bos, Corporate IT Recruiter, via [e-mail].

If you are invited for an interview, Bo, our virtual assistant, will contact you via SMS and email to schedule it.

Answers to frequently asked questions can be found at rabobank.jobs/nl/veelgestelde-vragen.

A high-risk reliability check is part of the procedure.

We respect your privacy.