Machine Learning Engineer

At a glance

Do you enjoy working with technology and enabling others to build smart, innovative solutions? In this role, you contribute to ABN AMRO’s ambition to become a truly personal bank in the digital age.

You translate ideas into robust, production-ready machine learning solutions that deliver measurable impact. You support and coach colleagues, work in a hybrid setting with a strong focus on value delivery and contribute to initiatives within Grid Customer Insights & Hyperpersonalisation (CI&H) that make a difference for millions of customers.

Your job

As a Machine Learning Engineer, you work with fellow MLEs to develop and continuously improve MLOps capabilities on our central ML/AI platform. You collaborate closely with Data Scientists, Data Engineers, platform engineers, and business stakeholders to ensure machine learning solutions are stable, secure, and production-ready.

Your responsibilities include:

• Designing, developing, and productionising ML use cases together with Data Scientists
• Applying MLOps principles to automate workflows, improve deployment, and manage the ML lifecycle
• Ensuring solutions meet quality, validation, documentation, and operational standards
• Aligning on scope, risks, and delivery expectations throughout implementation
• Contributing to shared frameworks, guidelines, and platform capabilities
• Supporting the technical growth of colleagues and the MLE community
• Working in Agile, cross-functional teams to deliver incremental, high-quality solutions

Working environment

You will be part of the Grid Customer Insights & Hyperpersonalisation (CI&H), which plays a central role in the innovation and growth strategy of Personal & Business Banking. Our multidisciplinary teams bring together knowledge, creativity, and ambition to continuously improve how customers interact with the bank. Using data and analytics, we design proactive, relevant, and hyper-personalised digital experiences for personal, private, and business clients.

Working with an Agile mindset, we enable scalable use cases that match solutions to each customer’s intent, clearly, smoothly, and with care. You operate in a modern corporate environment where stability, quality, collaboration, and ownership are key, and where openness, transparency, and continuous learning support both professional growth and a positive team atmosphere.

Your profile

You thrive in a technical, data-driven environment and are comfortable working within a structured corporate setting with clear processes, strong governance, and a focus on reliability. You take ownership of your work from definition to delivery, collaborate easily with others, and continue to develop your skills in a rapidly evolving technical landscape.

Must haves

• A Master’s degree, PhD, or equivalent experience in a relevant technical field
• At least 3 years of experience building machine learning solutions in production
• Strong Python skills and solid knowledge of SQL
• Solid understanding of software engineering principles like modular design and CI/CD
• Hands-on experience with MLOps practices and end-to-end ML systems
• Ability to collaborate closely with Data Scientists, strengthen their technical skills and translate models into production solutions
• Ownership mindset and strong problem-solving skills
• Experience contributing to shared platforms, frameworks, or templates

Nice to haves

• Experience with cloud platforms, preferably Microsoft Azure
• Experience with Databricks and/or Azure Machine Learning
• Experience working in Agile, cross-functional teams

We are offering

• Five weeks of vacation per year, with the option to purchase additional vacation days
• Benefit Budget: 11% of your salary. You can decide how you want this to be paid out (e.g., extra holiday allowance, a lease bike, or as salary). If you make no purchases or reservations in the Benefit Shop in a given month, you receive one twelfth of your Benefit Budget as a payout
• Annual recognition premium in case of good performance
• Personal Development Budget of €1,000 per year, which you can accumulate up to €3,000, for training and certifications to keep your knowledge up to date
• Banking for Better Days: days you can use for personal development or to contribute to society
• Hybrid working model with 2–5 office days, with good facilities for remote working (in consultation with your team and depending on your position)
• Annual public transport pass with free public transportation throughout the Netherlands
• Excellent pension scheme that will set you up for the future