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Machine Learning & Agentic AI Engineer

Posted 2 Aug 2026
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Work experience
3 to 7 years
Full-time / part-time
Full-time
Job function
Salary
€5,847 - €8,353 per month
Degree level
Required languages
English (Fluent)
Dutch (Fluent)

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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?

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:

  • Design and implement Agentic workflows that strengthen security controls and enhance automation.
  • Identify problems and opportunities within the Cyber Defence domain, using data science to address them.
  • Work closely with stakeholders to determine business value and guide them toward optimal solutions.
  • Build deep domain knowledge and perform extraction, transformation, and loading (ETL) of large, complex datasets to make them fit for purpose.
  • Apply state-of-the-art statistical and data science techniques, balancing simplicity and sophistication where appropriate.
  • Evaluate and deploy machine learning models effectively in production environments.
  • Communicate results and insights clearly to stakeholders, fostering cooperation and alignment.
  • Educate end-users to maximize the value of implemented solutions.
  • Assist and mentor junior team members, providing guidance in their daily activities.
  • Actively contribute to team learning by hosting or initiating knowledge-sharing sessions to improve overall team efficiency and expertise.

Working environment

You’ll be part of CISO Cyber Defence, a vibrant and diverse team consisting of 145 professionals who thrive on collaboration and innovation. CISO has a strong presence within ABN AMRO, with over 450 employees focusing on all aspects of cybersecurity for the bank. We operate in an agile environment, where hierarchy takes a back seat, and teamwork drives success. Our mission is clear: to be the driving force behind the bank's security, safeguarding our customers and society.

At ABN AMRO, you’ll have the opportunity to work on impactful and meaningful projects that make a real difference. You’ll be part of a forward-thinking team that values innovation, collaboration, and personal growth. We provide a supportive environment where your ideas and expertise will be valued, and you’ll be empowered to shape the future of cyber defence.

Your profile

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 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.

We are offering

Joining ABN AMRO means stepping into a role with impact, supported by employment conditions that foster job satisfaction, development, and wellbeing.

  • An attractive gross monthly salary based on a 36-hour work week, including holiday allowance and a flexible benefit budget.
  • An excellent pension scheme.
  • 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.
  • 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.
  • 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.

De financiële wereld is nog nooit zo in beweging geweest als nu! Technologie evolueert razend snel en de kracht van innovatie heeft veel invloed op het financiële systeem. We hebben jouw talenten nodig om onze bank toekomstbestendig te maken. Wat je interesses of achtergrond ook zijn. We bieden een werkomgeving vol ondernemerschap en vrijheid om jezelf te ontwikkelen, zowel op professioneel als op persoonlijk vlak.

Finance & Banking
Amsterdam
Active in 19 countries
19,000 employees
60% men - 40% women
Average age is 38 years