Senior Aeromechanics ML Engineer - 3D ML & Digital Twins

Siemens Energy; Greater Lincolnshire; On-site; GBP 70,000 - 110,000; Full time

Job summary

Siemens Energy Limited in Lincolnshire, UK, is seeking a Senior Aeromechanics Machine Learning Engineer to develop 3D ML-based design tools and digital twins for turbomachinery MDO processes. You will build surrogate models and automated workflows, integrating ML into optimization loops to speed up engineering tasks.

The role requires a strong background in ML methods, turbomachinery knowledge, and proficiency in Python, C++, Java, and Linux, with experience in HPC and cloud environments.

Qualifications

• Bachelor's degree in mechanical or aerospace engineering or related field.
• 3+ years in gas or aero turbine design, MDO workflows, or ML-enabled engineering.
• Proficient in Python, C++, Java and Linux.
• Experience with ML tools and digital twins is a plus.

Responsibilities

• Develop and deploy 3D ML-based tools and surrogate models for turbomachinery.
• Create and validate digital-twin-enabled workflows and MDO processes.
• Build automation scripts for data prep, training, validation, and deployment.
• Integrate ML models into optimization loops and decision-support.
• Prepare training materials and support adoption by engineering teams.

Skills

3D ML/AI

Python

C++

Java

Linux

ML model development

Computational design tools

Gitlab/Git

HPC environments

LLMs / AI / ML / digital twins

Education

Bachelor's degree in mechanical/aerospace engineering, computer science, or applied mathematics

Masters or PhD preferred

Tools

NumPy

pandas

scikit-learn

PyTorch

TensorFlow

Job description

Siemens Energy Limited in Lincolnshire, UK, is seeking a Senior Aeromechanics Machine Learning Engineer to develop 3D ML-based design tools and digital twins for turbomachinery MDO processes. You will build surrogate models and automated workflows, integrating ML into optimization loops to speed up engineering tasks.

The role requires a strong background in ML methods, turbomachinery knowledge, and proficiency in Python, C++, Java, and Linux, with experience in HPC and cloud environments.