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

Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Azure
- Doctor
- Engels
Intern - Digital Data Science and Analytics
Adidas —Amsterdam
- € 1.200 per maand
- Fulltime
- Microsoft Powerpoint
- Microsoft Excel
- Engels
- Productkorting werknemers
- Taaltraining aangeboden
AI- en Data Science Engineer
IntoData —Amsterdam
- Azure
- AWS
- Bachelor
- Werk vanuit huis
- Flexibele werkuren
AI Engineer
Orange Business —Amsterdam Westpoort
- Hybride werken
- Azure
- DevOps
- Engels
- Reiskostenvergoeding
Master Thesis: Triage of Non-compliant UAS Flights Using Machine Learning Methods
Nederlands Lucht- en Ruimtevaartcentrum (NLR) —Amsterdam
- Master
- Bachelor
- Python
AI Research Engineer (Kernel & Inference Optimization) - 100% Remote Worldwide
Tether Operations Limited —Amsterdam
- Fulltime
- Thuiswerk
- Bediening
- Doctor
- Informatica
AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide
Tether Operations Limited —Amsterdam
- Fulltime
- Thuiswerk
- Bediening
- Doctor
- Informatica
Senior AI Engineer
Loop —Amsterdam
- € 75.000 - € 95.000 per jaar
- Fulltime
- Hybride werken
- Informatica
- Azure
- Informatica
Project Engineer
JBT Marel —Amsterdam
- Fulltime
- Hybride werken
- AutoCAD
- Engineering
- ERP systemen
- Zorgverzekering
- Werk vanuit huis
Data Scientist
Xomnia —Amsterdam Centrum
- € 3.800 - € 6.200 per maand
- Fulltime
- Azure
- Informatica
- Engels
Snel solliciteren
Data Scientist Fraud Monitoring
ABN AMRO —Amstelveen
- € 5.112 - € 7.303 per maand
- Hybride werken
- Doctor
- Master
- SQL
- Budget voor professionele ontwikkeling
12 dagen
Data Scientist
JINGDONG RETAIL (UK) LIMITED —Amsterdam
- Azure
- Master
- AI
Snel solliciteren
AI Engineer
CGI —Randstad
- Master
- Machinaal leren
- APIs
Snel solliciteren
Forward Deployed Engineer, Applied AI, Google Cloud
Google —Amsterdam
- € 120.000 - € 164.000 per jaar
- Microsoft Excel
- Doctor
- Informatica
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
Junior/Medior R&D Engineer Artificial Intelligence
Koninklijk Nederlands Lucht- en Ruimtevaartcentrum —Amsterdam
- Fulltime
- Hybride werken
- Engels
- Java
- Master
AI Research Engineer (Model Compression & Quantization)
Tether Operations Limited —Amsterdam
- Fulltime
- Thuiswerk
- Doctor
- Informatica
- Engels
Senior AI/ML Engineer
IQVIA —Amsterdam
- Fulltime
- Java
- AI
- Python
Staff ML Engineer - Advertising
eBay Inc. —Amsterdam
- Fulltime
- Doctor
- Informatica
- Master

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

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Data Scientist - QuantumBlack, AI by McKinsey

McKinsey & Company -
Amsterdam

Nu solliciteren

Vacaturegegevens

Kwalificaties

Frans
Azure
Doctor
Kubernetes
R
Engels
Google Cloud Platform
Master
SQL
Analytisch vermogen
Docker
Presentatievaardigheden
Ruby
SPSS
Communicatieve vaardigheden
Python
Tijdmanagement
Hadoop

Volledige vacaturetekst

Job ID: 97363

Amsterdam

Brussels

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

As a Data Scientist, you will collaborate with clients and interdisciplinary teams to develop impactful analytics solutions, optimize code, and solve real-world business problems across diverse industries. You’ll grow as a technologist by contributing to cutting-edge projects, R&D, and global conferences while working alongside world-class talent in a dynamic, innovative environment.

In this role, you will partner with clients to understand their needs and develop impactful analytics solutions. You will translate business problems into analytical challenges, build models to solve them, and ensure they are evaluated with relevant metrics. You’ll also contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at conferences like NIPS and ICML.

Your work will create real-world impact. By identifying patterns in data and delivering innovative solutions, you will help clients maintain their competitive advantage and transform their day-to-day operations. Your contributions will directly influence business outcomes and drive lasting improvements across industries.

You will be in Amsterdam or Brussels, and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world working on interdisciplinary projects that use math, statistics, and machine learning to derive insights from raw data. You will help global companies transform their businesses and enhance performance across industries such as healthcare, automotive, energy, and elite sports.

At McKinsey, you’ll thrive in an unparalleled environment for growth. You’ll develop a sought-after perspective by connecting technology and business value, tackle real-life challenges across diverse industries, and collaborate with inspiring multidisciplinary teams, gaining a holistic understanding of AI and its potential to drive transformation.

Our Tech Stack

While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

Bachelors, Masters or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence.

0-2+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data

Programming experience (focus on machine learning): R and/or Python (must), SPSS, SAS, Ruby, Hadoop (valued).

Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains

Ability to independently own and drive model development, balancing demands and deadlines.

Demonstrated aptitude for analytics.

Strong communication skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levels. Knowledge of French or Dutch is valued.

Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.

Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields.

Willingness to travel.

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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Verfijn je zoekopdracht

machine learning engineer vacatures in amsterdam

Data Scientist - QuantumBlack, AI by McKinsey

Intern - Digital Data Science and Analytics

AI- en Data Science Engineer

AI Engineer

Master Thesis: Triage of Non-compliant UAS Flights Using Machine Learning Methods

AI Research Engineer (Kernel & Inference Optimization) - 100% Remote Worldwide

AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide

Senior AI Engineer

Project Engineer

Data Scientist

Data Scientist Fraud Monitoring

Data Scientist

AI Engineer

Forward Deployed Engineer, Applied AI, Google Cloud

Senior Data Scientist I

Senior Data Scientist I

Junior/Medior R&D Engineer Artificial Intelligence

AI Research Engineer (Model Compression & Quantization)

Senior AI/ML Engineer

Staff ML Engineer - Advertising

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

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