20 beste vacatures voor de functie van machine learning engineer in amsterdam (nieuwe medewerkers gezocht)

Data Scientist
de Bijenkorf —Amsterdam
- € 3.943 - € 5.632 per maand
- Fulltime
- Master
- SQL
- Python
- Productkorting werknemers
- Winstdeling
Data Scientist Intern - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Engels
- Master
- Analytisch vermogen
2 dagen
Senior Data Scientist I
Elsevier —Amsterdam
- € 53.800 - € 89.900 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Productkorting werknemers
- Werk vanuit huis
Senior Data Scientist I
RELX —Amsterdam
- € 53.800 - € 89.900 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Productkorting werknemers
- Werk vanuit huis
Quantitative Developer
Pinely —Amsterdam
- Fulltime
- Analytisch vermogen
- C++
- Bachelor
- Taaltraining aangeboden
Snel solliciteren
Project Engineer
JBT Marel —Amsterdam
- Fulltime
- Hybride werken
- AutoCAD
- Engineering
- ERP systemen
- Zorgverzekering
- Werk vanuit huis
AI Engineer
CGI —Randstad
- Master
- Machinaal leren
- APIs
Snel solliciteren
LLM Engineering Consultant
Accenture —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Engels
- Master
- Zorgverzekering
- Flexibele werkuren
Senior Applied Scientist
TomTom —Amsterdam
- Fulltime
- Hybride werken
- Begeleiding
- AI
- Budget voor professionele ontwikkeling
Snel solliciteren
Data Scientist
JINGDONG RETAIL (UK) LIMITED —Amsterdam
- Azure
- Master
- AI
Snel solliciteren
Graduation Internship Data & AI | AI / Gen AI / AI Engineering
Avanade —Amsterdam
- Verkoopervaring
- DevOps
- Data-analyse
Senior Software Engineer
eBay Inc. —Amsterdam
- Fulltime
- Informatica
- Doctor
- Informatica
AI Engineer - m/v/x
Eraneos —Amsterdam-Zuidoost
- € 3.500 - € 6.500 per maand
- Fulltime
- Hybride werken
- Engels
- Kantoor
- Master
- Winstdeling
- Reiskostenvergoeding
Snel solliciteren
Consultant | GenAI Engineer
Amsterdam Data Collective —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Master
- Softwareontwikkeling
Snel solliciteren
Data Scientist
Xomnia —Amsterdam Centrum
- € 3.800 - € 6.200 per maand
- Fulltime
- Azure
- Informatica
- Engels
Snel solliciteren
Senior Data Scientist
Tiqets —Amsterdam
- Fulltime
- Hybride werken
- Master
- SQL
- AWS
- Productkorting werknemers
Senior Applied Researcher
eBay Inc. —Amsterdam
- Fulltime
- Informatica
- Doctor
- Informatica
Senior AI Engineer
OpenUp —Amsterdam
- Hybride werken
- Azure
- Informatica
- Engels
- Budget voor professionele ontwikkeling
Snel solliciteren
Data Scientist
CGI —Randstad
- Hybride werken
- Azure
- Informatica
- Master
- Winstdeling
Snel solliciteren
Manager Data Science
RELX —Amsterdam
- € 79.000 - € 131.500 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Flexibele werkuren
9 dagen

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning engineer in amsterdam

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Data Scientist

de Bijenkorf -
Amsterdam

Nu solliciteren

Vacaturegegevens

Fulltime
€ 3.943 - € 5.632 per maand

Secundaire arbeidsvoorwaarden

Productkorting werknemers
Winstdeling

Kwalificaties

CI/CD
Kubernetes
Supplychain
Logistiek
Git
Google Cloud Platform
Master
SQL
Docker
Continuous integration
Python

Volledige vacaturetekst

- Amsterdam - Servicekantoor
- Tech
- 40 uur

- Fulltime, Vast
- Data Specialist

At de Bijenkorf, data plays a central role in how we operate and make decisions, and we continue to expand our capabilities every day. With millions of customers visiting our stores and e-commerce platform, we manage large and rapidly growing datasets that we use to train machine learning models and generate insights. These insights help us make smarter decisions and create impact across all areas of our business. From customer experience to logistics, assortment, and marketing. Want to help shape what’s next?

Data Scientist

- Amsterdam - Servicekantoor
- Fulltime, Vast
- Tech
- Data Specialist
- 40 uur

About the role

As a Data Scientist, you translate the richness of our customer data into tangible impact across our website, app, online marketing channels, stores, customer service, supply chain, and buying teams. You have the opportunity to improve the shopping experience of millions of customers and build the data products that power better decisions across the entire organization. You will:

Ideate and develop
Build scalable machine learning products across various domains, working directly with colleagues to explore and shape data-driven solutions.

Deploy and own
Take models from development to production, owning the full ML ops lifecycle in close collaboration with our tech teams.

Experiment and iterate
Continuously improve production models, MLOps flows, and contribute to the broader data platform.

We currently have a number of models in production across different business domains. Examples include recommendation systems, sales and returns forecasting, customer segmentation and lifetime value prediction, and marketing budget optimization. In our latest work, we built a recommender system using a LLM and a multimodal model that combines text and image features, allowing us to create more meaningful recommendations. Our work is powered by a modern tech stack including Python, GCP, BigQuery, dbt, git, Argo Workflows, Docker, Kubernetes and Airflow.

About the team

You will join a centralized Data & Analytics team, working closely with data engineers, analysts, and tracking & measurement experts. The team operates Agile, giving you substantial responsibility and the freedom to make impactful decisions from the start. You’ll be based at our Service Office, with flexible remote work options.

The Data & Analytics team supports a diverse range of organizational departments with their data needs, giving you the chance to work with a variety of data sources and use cases.

Your Experience:

Strong fundamental experience as a Data Scientist or Machine Learning Engineer (4+ years of experience).

Proficiency in Python for delivering production-ready code.

Experience with other aspects of this role are great to have, but can also be learned on the job.

Strong knowledge of CI/CD.

Familiarity with Docker and Kubernetes.

Experience with operationalizing machine learning models.

Who you are:

Proactive and able to take ownership of projects end-to-end, from idea to production.

You are able to identify opportunities where data and machine learning can have real business impact.

You stay up-to-date with the latest industry trends and you are eager to implement your learnings.

You are able to explain your solutions to a non-technical audience

Strong communication and collaboration skills to work effectively with cross-functional teams.

What we offer

A gross monthly salary between €3,943 and €5,632 (based on 40 hours);
30 vacation days
An annual profit sharing (variable) bonus
Vitality budget
Contribution towards your pension
Hybrid environment
A great culture
An employee discount on products purchased from de Bijenkorf

Sollicitatieprocedure

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Kennismakingsgesprek

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machine learning engineer vacatures in amsterdam

Data Scientist

Data Scientist Intern - QuantumBlack, AI by McKinsey

Senior Data Scientist I

Senior Data Scientist I

Quantitative Developer

Project Engineer

AI Engineer

LLM Engineering Consultant

Senior Applied Scientist

Data Scientist

Graduation Internship Data & AI | AI / Gen AI / AI Engineering

Senior Software Engineer

AI Engineer - m/v/x

Consultant | GenAI Engineer

Data Scientist

Senior Data Scientist

Senior Applied Researcher

Senior AI Engineer

Data Scientist

Manager Data Science

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning engineer in amsterdam

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Data Scientist

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