Senior Aeromechanics Machine Learning Engineer

Siemens Energy; Lincoln; On-site; GBP 85,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Learning & development opportunities

Flexible working arrangements

Diversity & inclusion

Access to new technology

Job summary

Siemens Energy Limited is seeking a Senior Aeromechanics Machine Learning Engineer in the United Kingdom (Lincolnshire) with a hybrid work arrangement. You will develop AI-enabled methods for aerodynamic and mechanical turbomachinery design, creating surrogate models to explore design spaces and assess aeromechanical risks early in the process.

You will lead a global, multidisciplinary team, ensuring physically meaningful ML methods, robust validation, and seamless integration into engineering

Qualifications

• Master’s or PhD in mechanical or aerospace engineering.
• 3+ years in gas turbine design/analysis or ML-enabled engineering.
• Strong turbomachinery aero design and CFD knowledge.
• Experience in aeromechanical analysis (flutter, forced response, non-synchronous vibrations).
• Solid mechanics, structural dynamics, and FEA knowledge.
• Experience in developing engineering design tools, scripts, or software applications.
• Strong ML model development, validation and deployment understanding.
• Hands-on Python with PyTorch.
• Git, Linux and modern software development practices.
• Motivated, proactive and collaborative.

Responsibilities

• Perform multidisciplinary analysis and optimisation of gas turbine components including compressor and turbines.
• Develop automated workflows for engineering design, analysis and multidisciplinary optimisation (MDO).
• Develop 3D ML design tools and surrogate models for aerodynamic and aeromechanical applications.
• Integrate ML models into engineering workflows and design optimisation processes.
• Validate surrogate models against high-fidelity simulation and test data and define applicability limits.

Skills

Machine Learning

Aeromechanics

CFD

Python

PyTorch

Git

Linux

Engineering design

Team collaboration

Communication

Education

Master’s or PhD in mechanical or aerospace engineering

Tools

PyTorch

Python scripting

Job description

Siemens Energy and Siemens Gamesa are becoming Omterra. "We energize society" by supporting our customers to make the transition to a more sustainable world, based on innovative technologies and our ability to turn ideas into reality. With nearly 100,000 employees around the world, we shape the energy systems of today and tomorrow.

Senior Aeromechanics Machine Learning Engineer

About the Role

Job ID

282946

Location

United Kingdom of Great Britain and Northern Ireland

Lincolnshire

Lincoln

Remote vs. Office

Hybrid (Remote/Office)

Company

Siemens Energy Limited

Organization

Gas Services

Business Unit

Distributed

Full-time

Experience Level

Manager / Team Leader

Senior Aeromechanics Machine Learning Engineer

As an Aeromechanics Machine Learning Engineer, you will develop and implement AI-enabled methods for the aerodynamic and mechanical design of turbomachinery components. You will combine expertise in aerodynamics, aeromechanics and machine learning to create surrogate models that allow larger design spaces to be explored and aeromechanical risks to be assessed earlier in the design process.

As part of a global and multidisciplinary team, you will work closely with engineering specialists, data scientists and software developers. You will provide technical leadership across disciplines and ensure that new machine learning methods are physically meaningful, appropriately validated and suitable for use in engineering design.

How you’ll make an impact

• Perform multidisciplinary analysis and optimisation of gas turbine components including compressor and turbines.
• Develop automated workflows for engineering design, analysis and multidisciplinary optimisation (MDO).
• Develop 3D machine learning (ML) design tools and surrogate models for aerodynamic and aeromechanical applications.
• Integrate machine learning models into engineering workflows and design optimisation processes.
• Validate surrogate models against high-fidelity simulation and test data and define their applicability limits.

What you bring

• A Master’s or PhD degree in mechanical engineering, aerospace engineering, or related field.
• 3+ years of experience (or relevant PhD experience) in gas turbine components design and analysis, or ML-enabled engineering applications.
• Strong knowledge of turbomachinery aerodynamic design and analysis, computational fluid dynamics (CFD), simulation and optimisation methods.
• Experience in aeromechanical analysis, including flutter, forced response and non-synchronous vibrations.
• Experience in solid mechanics, structural dynamics and finite element analysis (FEA) is beneficial.
• Strong experience in developing engineering design tools, scripts, or software applications.
• Strong understanding of machine learning model development, validation, and deployment.

• Hands-on experience developing machine learning solutions using Python and frameworks such as PyTorch.

• Working knowledge of Git, Linux environments and modern software development practices.
• Highly motivated, proactive, and self-directed.
• Excellent interpersonal and communication skills to collaborate across diverse cultures and disciplines.

About the Team

Our Gas Services sector delivers eco-friendly power generation solutions via maintenance and decarbonisation. We deliver zero or low-emission power generation, steam turbines, and generators, all in one place. Our team is committed to upgrading and digitalising the fleet, presenting chances for decarbonisation through inventive service options.

What is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With +100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world’s electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energise society, all of society, and we do not discriminate based on our differences.

• Competitive salary and performance-based incentives.
• Comprehensive health and wellness benefits.
• Opportunities for continuous learning and career development.
• Flexible working arrangements to support work-life balance.
• A dynamic and inclusive work environment that values diversity.
• Access to brand-new technology and innovation projects.