Machine Learning Engineer - Hybrid Modelling & Digital Twin

Newton Colmore Consulting; Donostia/San Sebastián; Híbrido; EUR 60.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Descripción de la vacante

Newton Colmore Consulting is partnering with a venture-backed deep tech company to develop novel intelligent systems. The Machine Learning Engineer will own advanced modelling, ML and predictive analytics across product platforms, tackling challenging problems with autonomy and leadership exposure.

You will join a talented team of scientists and engineers, shaping technology strategy while turning complex data into practical insights and actionable forecasts.

Formación

• MSc or PhD in Mathematics, Physics, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline.
• Industrial experience developing computational, statistical or machine learning models.
• Strong understanding of mathematical modelling, optimisation, simulation, or predictive analytics.
• Excellent Python programming skills and experience working with modern scientific computing frameworks.

Responsabilidades

• Developing advanced mathematical and machine learning models for complex real-world systems.
• Building predictive models and digital representations of physical processes.
• Combining first-principles approaches with modern AI and machine learning techniques.
• Designing and analysing experimental programmes to generate meaningful insights and improve model performance.
• Working with large-scale sensor and operational datasets to develop forecasting and monitoring capabilities.

Conocimientos

Machine learning

Python

Mathematical modelling

Bayesian modelling

Educación

MSc or PhD in Mathematics/Physics/Statistics/CS/Engineering

Herramientas

SciPy

NumPy

Descripción del empleo

Newton Colmore Consulting is partnering with a venture-backed deep tech company to develop novel intelligent systems. The Machine Learning Engineer will own advanced modelling, ML and predictive analytics across product platforms, tackling challenging problems with autonomy and leadership exposure.

You will join a talented team of scientists and engineers, shaping technology strategy while turning complex data into practical insights and actionable forecasts.