ML Ops Engineer

This is what we offer you Gross monthly salary between € 5.994 and € 8.563 (scale 10). Thirteenth month's salary and 8% holiday allowance 10% Employee Benefit Budget EUR 1,400 development budget per year Hybrid working: balance between home and office work (possible for most roles) A pension, for which you can set the maximum amount of your personal contribution View all our benefits. Job Title ML Ops Engineer 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 Mourad.el.Maouchi@rabobank.nl. Questions about working at Rabobank and the process: contact Charlotte Bos, Corporate IT Recruiter, via charlotte.bos@rabobank.nl. 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.