Senior ML Engineer — Digital Twin & Predictive Modelling

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

Ventajas ofrecidas por este puesto de trabajo

Equity participation

Technical leadership opportunities

Competitive salary

High-impact projects

Descripción de la vacante

Newton Colmore partners with a venture-backed deep-tech company to develop novel intelligent systems for transforming complex industrial and scientific processes. This is a hybrid or remote role with occasional travel to the HQ in Spain.

You will own advanced modelling, machine learning, and predictive analytics across the platform, joining a team of scientists and engineers tackling difficult challenges and helping shape technology strategy and product direction.

Formación

• MSc or PhD in a quantitative field.
• Industrial experience building computational, statistical or ML models.
• Strong knowledge of modelling, optimisation, simulation or predictive analytics.
• Excellent Python programming skills.

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 and 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

Mathematics

Statistical modelling

Educación

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

Herramientas

Python scientific computing frameworks

Descripción del empleo

Newton Colmore partners with a venture-backed deep-tech company to develop novel intelligent systems for transforming complex industrial and scientific processes. This is a hybrid or remote role with occasional travel to the HQ in Spain.

You will own advanced modelling, machine learning, and predictive analytics across the platform, joining a team of scientists and engineers tackling difficult challenges and helping shape technology strategy and product direction.