Hybrid ML Engineer: Modelling & Predictive Analytics

Newton Colmore; España; Híbrido; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Newton Colmore is partnering with a venture-backed deep tech company to embed advanced machine learning modelling within its technology platform. This hybrid role offers autonomy, leadership access, and a chance to shape technology strategy and product direction.

You will work across the full lifecycle of scientific modelling, turning complex datasets into actionable insights and forecasting capabilities for real-world industrial processes.

Formación

• Strong quantitative background with track record applying advanced modelling to real-world problems.
• Industrial experience developing computational, statistical or ML models.
• Familiarity with predictive analytics and design of experiments.

Responsabilidades

• Develop advanced mathematical and machine learning models for complex real-world systems.
• Build predictive models and digital representations of physical processes.
• Combine first-principles approaches with modern AI/ML techniques.
• Design and analyse experimental programmes to generate meaningful insights and improve model performance.
• Work with large-scale sensor and operational datasets to develop forecasting and monitoring capabilities.

Conocimientos

Python

Machine learning

Data analysis

Statistical modelling

Predictive analytics

Educación

MSc or PhD in quantitative field

Herramientas

NumPy

SciPy

scikit-learn

TensorFlow

Descripción del empleo

Newton Colmore is partnering with a venture-backed deep tech company to embed advanced machine learning modelling within its technology platform. This hybrid role offers autonomy, leadership access, and a chance to shape technology strategy and product direction.

You will work across the full lifecycle of scientific modelling, turning complex datasets into actionable insights and forecasting capabilities for real-world industrial processes.