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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning & Agentic AI Engineer - **Company:** ABN AMRO Bank N.V. - **Location:** AMSTERDAM, Netherlands (Remote available) - **Experience:** Experienced - **Salary:** €5,847.0 - €8,353.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Extract Transform Load (ETL), Machine Learning, Software Deployment, Data Analytics - **Published:** July 31, 2026 - **Apply:** https://www.werkenbijabnamro.nl/en/vacancy/9467/machine-learning-agentic-ai-engineer ## About the Role * 5+ years * An inventive approach * Passion for your field of expertise, You are a highly motivated and skilled professional with a passion for data, machine learning, and cybersecurity. You thrive in dynamic environments, enjoy solving complex problems, and love working with like-minded individuals to make a meaningful impact. You have strong consultancy skills to identify and address the "real" problems, guiding stakeholders toward impactful solutions. On top you're able to mentor and coach junior team members. You're know for your creativity and collaboration skills and you're a team player who isn't afraid to ask for or give feedback. And you feel comfortable to work on multiple concurrent projects while managing priorities effectively. Hard skill wise we're looking for someone with the following skills: * A quantitative MSc, PhD, or equivalent experience. * A minimum of 3+ years of work experience in data science or machine learning. * Proficiency in Machine Learning algorithms (e.g., Scikit-learn, TensorFlow, Keras, PyTorch). * Strong expertise in techniques like AKS and MCP. * Strong programming skills in Python, PySpark, KQ, and SQL. * Expertise in statistics, mathematics, and experiment design. * Proficiency in implementing Agentic workflows. * Proficiency in ETL processes and working with big data systems. ## Description We are looking for a Machine Learning Engineer who wants to play a pivotal role in scaling our detection and response capabilities. Do you like to be responsible for implementing transformative use cases such as data transformation at scale and sentiment analysis, ensuring that our systems are robust enough to counter sophisticated threats? Do you want to design and implement Agentic workflow to help CISO Cyber Defence improve and accelerate our security controls and security response to stay resilient in an AI dominant threat landscape? Do you like to work in a hands-on role where you will design, build, and deploy advanced machine learning solutions into production environments? And do you like to collaborate with cross-functional teams, mentor junior colleagues, and help foster a culture of continuous learning and innovation? Then please continue reading and apply online to this role! Are you ready to be part of a mission that uses cutting-edge technology to protect our customers, employees, and the bank against cyber threats? At ABN AMRO, we work with vast amounts of data, and we are leveraging machine learning and language models to scale our detection and response capabilities. By consciously and carefully applying these technologies, we aim to stay ahead of cybercriminals who are increasingly using AI to enhance their attacks. Our vision includes implementing Agentic workflows to improve and accelerate security controls, helping us stay resilient in a rapidly evolving threat landscape. Join us in shaping the future of cyber defence through innovation and AI-driven solutions. Your job Your key responsibilities include: * Agentic Workflows: Design and implement workflows that strengthen our security controls and enhance automation. * Problem Solving: Identify problems and opportunities within the Cyber Defence domain, using data science to address them. You will work closely with stakeholders to determine business value and guide them toward optimal solutions. * Data Mastery: Build deep domain knowledge and perform extraction, transformation, and loading (ETL) of large, complex datasets to make them fit for purpose. * Model Development: Apply state-of-the-art statistical and data science techniques, balancing simplicity and sophistication where appropriate. * Production Deployment: Evaluate and deploy machine learning models effectively in production environments. * Collaboration: Communicate results and insights clearly to stakeholders, fostering cooperation and alignment. Educate end-users to maximize the value of implemented solutions. * Mentorship: Assist and mentor junior team members, providing guidance in their daily activities. * Knowledge Sharing: Actively contribute to team learning by hosting or initiating knowledge-sharing sessions to improve overall team efficiency and expertise., * An attractive gross monthly salary based on a 36-hour work week, including holiday allowance and a flexible benefit budget. * An excellent pension scheme, ensuring that you are well prepared for the future. * Flexibility in working: working from home is possible in consultation with your team and depending on your role. We will provide an ergonomic home office setup for you. * Plenty of room for relaxation with five weeks of vacation per year, supplemented by two mandatory days off. You can also purchase up to four additional weeks of vacation annually. * Five "Banking for better days": extra days off that you can use for personal development or volunteer work. * Personal development is key: you receive a development budget of €1,000 per year, which can accumulate up to €3,000. * An annual public transport pass with free public transportation throughout the Netherlands for both business and private use. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Detecting Money Laundering with AI](https://www.wearedevelopers.com/videos/111-detecting-money-laundering-with-ai) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [100 times more frequent deployments: How did we create a high performance team?](https://www.wearedevelopers.com/videos/1069-100-times-more-frequent-deployments-how-did-we-create-a-high-performance-team) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How to land a developer job in Amsterdam](https://www.wearedevelopers.com/magazine/36-how-to-land-a-developer-job-in-amsterdam) - [Best Companies in the Netherlands: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/193-best-companies-in-the-netherlands-top-25-companies-in-2023) - [How to Find Tech Jobs in Amsterdam](https://www.wearedevelopers.com/magazine/279-how-to-find-tech-jobs-in-amsterdam) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)