Hybrid ML Engineer for Physics-Powered Simulation

PhysicsX Ltd; Greater London; Hybrid; GBP 50,000 - 80,000; Full time

Benefits offered by this job

Equity options

10% employer pension contribution

Free office lunches

Enhanced parental leave

Private medical insurance

25 days of Annual Leave

Job summary

PhysicsX Ltd is seeking a Machine Learning Software Engineer in London to build AI-driven simulation software for engineering. You will collaborate with scientists, design machine learning models, and implement distributed architectures, contributing to optimization in various industries including aerospace and automotive. Ideal candidates will hold a MSc or PhD in a relevant field and exhibit strong collaboration skills. The position offers a hybrid work model and a comprehensive benefits package.

Qualifications

• Enthusiasm for machine learning and deep learning methods.
• Ability to work autonomously and deliver projects effectively.
• Ideally 2+ years of experience in a data-driven role.

Responsibilities

• Work with research scientists to deliver physics models.
• Design and optimize machine learning models.
• Implement distributed training architectures.

Skills

Machine learning solutions development

Problem-solving skills

Collaboration and communication

Education

MSc or PhD in relevant field

Tools

Python libraries (NumPy, SciPy, PyTorch)

Cloud platforms (AWS, Azure, GCP)

C/C++ for scientific computing

Job description

PhysicsX Ltd is seeking a Machine Learning Software Engineer in London to build AI-driven simulation software for engineering. You will collaborate with scientists, design machine learning models, and implement distributed architectures, contributing to optimization in various industries including aerospace and automotive. Ideal candidates will hold a MSc or PhD in a relevant field and exhibit strong collaboration skills. The position offers a hybrid work model and a comprehensive benefits package.