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OverheidZZP

Machine Learning Engineer, Amsterdam

OverheidZZP
Netherlands · Full-time · Entry

In het kort: Je gaat als Machine Learning Engineer bij Schiphol innovatieve data-gedreven oplossingen ontwikkelen en implementeren voor veiligheidsplanning, samenwerken met diverse teams en bijdragen aan een duurzame en veilige luchthavenervaring.

For the Schiphol Group we are looking for a Machine Learning Engineer:

  • Connecting your world

It is one of the few places in the Netherlands where you can literally look out of the window and see your software have direct impact. You can help connect the Netherlands with the rest of the world. How you make this happen? That’s up to you. At Schiphol Group, we have confidence in your talents like finding a solution to every problem and the way in which you use them as Machine Learning Engineer in the Security & Safety Technology department.

  • Nice to know (you)

Working as an ML Engineer in Schiphol offers a wide variety of challenges. Schiphol is a city of its own and that is reflected in the variety of data and use cases. Together with 3,000 proud colleagues, we work towards our mission to be ’the world’s most sustainable and high-quality airports’. Be part of a pioneering team that transforms data into actionable insights, driving innovation and enhancing security at one of the world’s busiest airports.

You Will Work In a Multidisciplinary Data Science Product Team Developing Security Planning Software Catered To The Unique Environment Of Schiphol. We Expect You To Take The Team In Tow And Together Take Responsibility For The Implementation, Testing, And Maintenance Of These Solutions On Our Databricks And Kubernetes Backed Data & AI Platform. Additionally, You’ll Be In Close Contact With Other Machine Learning Engineers In Different Teams To Learn From Each Other And Productionize In a Similar Way. Your Work Includes

– Translate technical needs of the AI team into structural solutions;

– Breakdown high-level requirements into prioritized actionable tasks;

– Collaborate with scientists and engineers on the product roadmap;

– Support and improve our software development lifecycle and best practices;

– Design, implement, and test cloud based (Azure, Databricks) data intensive applications;

– Collaborate with Solution Architects to provide optimal technical solutions.

  • About the team

The Security Insights team is a group of dedicated professionals committed to developing cutting-edge data products that provide critical security insights. The team thrives on collaboration, creativity, and a shared passion for enhancing security through data-driven solutions. They work at the intersection of technology and security, leveraging advanced analytics and machine learning to deliver actionable intelligence.

As ML Engineer you’ll be taking a steering role in productionizing the solutions developed in your product team. Next to that you’ll be part of the AI Capability team consisting of 35 engineers and scientists. 80% of the work is done in your product (product) team, and 20% of your time you’ll contribute to & learn from the AI Capability team who create solutions in other parts of our organization.

In terms of tooling we work on Azure. Some examples of components in our stack include Databricks (PySpark), Python, Airflow, and OpenShift. For this role the focus is on Python & Databricks.

For the safety of our passengers and colleagues, an AIVD security screening (VGB B civil aviation) is always part of the recruitment process.

Functie-eisen

LET OP: Het is voor onze opdrachtgever noodzakelijk dat je aan al de gestelde functie-eisen kunt voldoen. Dit moet overtuigend blijken uit je CV. Alleen dan is reageren op deze opdracht zinvol.

– A Bachelors and/or a Masters degree in a relevant field (e.g. Computer Science, Mathematics, etc.). – At least 3 years experience working with machine learning solutions including deployment and management in a production environment. – At least 2 years experience with Databricks and (Py)Spark, building data & AI solutions. – Experience with containerized application deployment technology, e.g. Kubernetes/OpenShift, Docker and Helm. – Experience with declarative infra-as-code. – Experience creating monitoring and alerting solutions. – You have worked in an agile environment. – You are fluent in English. – For the safety of our passengers and colleagues, an AIVD security screening (VGB B civil aviation) is always part of the recruitment process. – For this assignment within Schiphol, a VOG is a requirement. The start date will only be discussed after receiving the VOG. – The candidate must have proof of identity (passport or identity card), which is valid at intake and on the starting date of the candidate’s contract and can be presented for verification.

Functie-voorstel

LET OP: Op basis van de wensen van onze opdrachtgever wordt bepaald of je eventueel wordt uitgenodigd voor een selectiegesprek. Het is dus noodzakelijk dat je ook op de wensen een sterke match hebt.

– Experience with Databricks Asset Bundles and Terraform is a plus. – Experience with Splunk is a plus. – Dutch language skills are a pré.

De sluitingsdatum van deze opdracht is de harde deadline van onze opdrachtgever.

  • Om je krachtig voor te kunnen dragen hebben wij minimaal één werkdag nodig om samen met jou alle bescheiden in orde te maken.
  • Wanneer je interesse hebt in deze opdracht en overtuigd bent van een sterke match, reageer dan direct!
  • Naast een actueel en op de opdracht gericht CV zullen wij altijd vragen om een bondige persoonlijke motivatiebrief (inclusief een toelichting per functie-eis en -wens) en een indicatief uurtarief/maandloon.

Op basis van deze informatie kunnen wij voor je aan de slag! We nemen contact met je op om alle verdere details goed door te nemen en duidelijke afspraken met je te maken.

5cd8a0b9cc68f9ffa4c9253553278a55wer

Key Skills

Ranked by relevance

machine learning ai python kubernetes terraform docker splunk cloud
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Posted
Jul 18, 2025
Type
Full-time
Level
Entry
Location
Amsterdam

Industries

Industrial Machinery Manufacturing

Categories

Engineering

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