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

Partial Discharge Data Scientist
Optics11 —Amsterdam-Zuidoost
- Fulltime
- Doctor
- Engels
- Master
Snel solliciteren
Data Scientist Intern - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Engels
- Master
- Analytisch vermogen
Data Scientist - Transaction Banking Data Domain
ABN AMRO —Amsterdam
- € 5.304 - € 7.577 per maand
- Azure
- Engels
- SQL
- Budget voor professionele ontwikkeling
9 dagen
Senior Data Scientist (ML & Statistical Modelling)
Pacmed —Amsterdam Centrum
- Fulltime
- Hybride werken
- Informatica
- Azure
- Engels
- Telefoonplan
AI Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Informatica
- Azure
- Informatica
AI Research Engineer (Model Compression & Quantization)
Tether Operations Limited —Amsterdam
- Fulltime
- Thuiswerk
- Doctor
- Informatica
- Engels
Manager Data Science
Elsevier —Amsterdam
- € 79.000 - € 131.500 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Flexibele werkuren
Junior Quantitative Researcher
Pinely —Amsterdam
- Fulltime
- Informatica
- C++
- Bachelor
- Verhuisvergoeding
Snel solliciteren
Senior Data Scientist - Commodity Trading and Risk Management
McKinsey & Company —Amsterdam
- Informatica
- Onderzoek
- Master
AI Inference Engineer QVAC (100% remote Worldwide)
Tether Operations Limited —Amsterdam
- Fulltime
- Thuiswerk
- Informatica
- Engels
- Master
ML Software Internship
Veridis —Amsterdam Zuid
- E-mail
- Stage
- Python
- Flexibele werkuren
Junior Data Scientist
Rewire —Amsterdam Oost
- Fulltime
- Hybride werken
- Engels
- Onderzoek
- Master
Snel solliciteren
Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Azure
- Doctor
- Engels
Duaal Data Scientist
Pon IT —Amsterdam
- Parttime
- Java
- SQL
- AWS
- Reiskostenvergoeding
- Personeelskorting
AI Research Engineer (Pre-training - LLM & Multi-Modal) - 100% Remote Worldwide
Tether Operations Limited —Amsterdam
- Fulltime
- Thuiswerk
- Doctor
- Informatica
- Engels
Senior AI / ML Engineer (MLOps & ML Platform)
Acquism SARL —Amsterdam Centrum
- Azure
- DevOps
- SQL
Senior Data Scientist 5 - Media Science
Netflix —Amsterdam
- SQL
- Python
AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide
Tether Operations Limited —Amsterdam
- Fulltime
- Thuiswerk
- Bediening
- Doctor
- Informatica
(MSc/PhD) AI Research Intern - LLMs, Causal Inference & Decision Making
Prosus —Amsterdam
- Hybride werken
- Doctor
- Master
- Python
9 uur
AI- en Data Science Engineer
IntoData —Amsterdam
- Azure
- AWS
- Bachelor
- Werk vanuit huis
- Flexibele werkuren

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Partial Discharge Data Scientist

Optics11 -
Amsterdam-Zuidoost

Snel solliciteren

Vacaturegegevens

Fulltime

Secundaire arbeidsvoorwaarden

Bedrijfsfeesten

Kwalificaties

TensorFlow
CI/CD
Doctor
Signaalverwerking
PyTorch
NumPy
Engels
MongoDB
Master
Pandas
Analytisch vermogen
PostgreSQL
SciPy
Communicatieve vaardigheden
Python

Volledige vacaturetekst

We are looking for an experienced Data Scientist to develop advanced analytics for our partial discharge monitoring and predictive maintenance platform.

Optics11 is a deep-tech company developing advanced fiber-optic sensing technologies for challenging environments and applications in energy and underwater security. Our systems enable high-performance sensing and monitoring through advanced photonics, signal processing, and data-driven intelligence.

We are expanding our partial discharge R&D team with a Data Scientist who is motivated to translate complex business and engineering challenges into scalable, data-driven solutions that enabling next-generation acoustic emission monitoring solutions by processing sensor signals to early detect, localize and quantify partial discharge in energy infrastructure.

You will work closely with cross-functional teams (embedded, software, and hardware) to design, develop, and deploy advanced algorithms that predict energy infrastructure failures.

Previous experience in partial discharge, acoustic emission or electrical signal processing is an advantage, but not a dealbreaker. We value strong analytical thinking, curiosity, and the willingness to learn new domains.

Key Responsibilities:

Design, develop, validate, and maintain algorithms for sensor data analysis, partial-discharge monitoring, and predictive analytics.
Translate complex business and engineering requirements into robust, production-ready algorithms.
Analyse large-scale sensor, time-series, and operational datasets to identify meaningful patterns and improve monitoring platform performance
Develop signal-processing, feature-engineering, statistical-modelling, and machine-learning pipelines.
Collaborate with software and platform engineers to integrate algorithms into the cloud monitoring platform and edge environments.
Monitor deployed algorithm performance and contribute to model maintenance, retraining, and continuous improvement.

Why Join Us?

Join one of Europe’s most promising deep-tech scale-ups.
Shape the future of a rapidly growing multidisciplinary R&D organization.
Competitive salary and benefits package.
Enjoy regular team activities and company events.
Fresh team lunches provided 3 times/week.

Requirements:

Strong professional experience with Python and commonly used scientific and data-science libraries (e.g., pandas, NumPy, SciPy, scikit-learn).
Strong foundation in statistical analysis, algorithm development, machine learning, and data modelling.
Practical experience analysing sensor signals and time-series data.
Solid understanding of signal-processing techniques such as filtering, denoising, spectral analysis, Fourier or wavelet transforms, and dimensionality reduction.
Experience developing, validating, and deploying machine-learning models in production or cloud environments.
Ability to connect patterns in data with physical processes and real-world system behaviour.
Experience with at least one deep-learning framework, such as PyTorch, TensorFlow, or JAX.
Ability to write clear, modular, tested, and maintainable Python code.
Experience contributing to end-to-end data-science or ML projects, from problem framing and experimentation to deployment and monitoring.

Qualifications:

You have at least 3 years of professional experience in data science with a focus on sensor data analysis.
Familiarity with real-time systems, edge computing, or predictive maintenance solutions is a plus.
M.Sc. or Ph.D. degree in a relevant discipline in science or engineering.
Strong analytical and problem-solving skills.
Solid understanding of mathematics and physics, with the ability to apply theory to real engineering problems.
A pragmatic, hands-on mindset and willingness to work with imperfect real-world data.
You have strong verbal and written communication skills in English (Dutch is an advantage).
Ability to work independently, take ownership, and collaborate effectively across disciplines.

Nice to Have:

Experience with partial-discharge, acoustic, vibration, electrical, or other condition-monitoring data.
Experience with predictive maintenance, anomaly detection, fault diagnosis, or remaining-useful-life estimation.
Knowledge of time-series and general-purpose databases such as QuestDB, MongoDB, or PostgreSQL.
Experience with experiment tracking, dataset or model versioning, and reproducible ML workflows.
Experience with GPU computing, CUDA, model optimization, or real-time edge deployment.
Familiarity with MLOps practices, automated testing, CI/CD, and production model monitoring.

Security & Compliance:

You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.

Snel solliciteren

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machine learning engineer vacatures in zwanenburg

Partial Discharge Data Scientist

Data Scientist Intern - QuantumBlack, AI by McKinsey

Data Scientist - Transaction Banking Data Domain

Senior Data Scientist (ML & Statistical Modelling)

AI Engineer - QuantumBlack, AI by McKinsey

AI Research Engineer (Model Compression & Quantization)

Manager Data Science

Junior Quantitative Researcher

Senior Data Scientist - Commodity Trading and Risk Management

AI Inference Engineer QVAC (100% remote Worldwide)

ML Software Internship

Junior Data Scientist

Data Scientist - QuantumBlack, AI by McKinsey

Duaal Data Scientist

AI Research Engineer (Pre-training - LLM & Multi-Modal) - 100% Remote Worldwide

Senior AI / ML Engineer (MLOps & ML Platform)

Senior Data Scientist 5 - Media Science

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

(MSc/PhD) AI Research Intern - LLMs, Causal Inference & Decision Making

AI- en Data Science Engineer

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

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