Machine Learning Engineer

About the Role

A VC-backed artificial intelligence startup in London is seeking a Machine Learning Engineer specializing in physics-related AI applications. The company focuses on developing foundational AI models to replace traditional physics simulation approaches, targeting challenging problems in automotive, aerospace, and energy sectors. Their solutions deliver simulation-like accuracy with significantly improved computational speed.

Key Responsibilities

• Develop core machine learning models and contribute heavily to architecture design.
• Deploy highly efficient AI systems integrated into real-world engineering design optimization pipelines.
• Collaborate closely with machine learning researchers, software engineers, and industry partners to solve industrial and environmental challenges.

Candidate Requirements

• Possess a MSc or PhD in Machine Learning, Computer Science, or a related quantitative discipline.
• Demonstrate proven experience applying machine learning techniques to intricate real-world problems, preferably those involving geometric or physical system data.
• Have a comprehensive grasp of ML theoretical concepts such as optimization, generalization, and various model architectures.
• Strong proficiency in Python along with practical expertise in ML frameworks like PyTorch, TensorFlow, or JAX.
• Experience in deploying ML models within production environments with ongoing monitoring.
• Effective communication skills to explain complex ML ideas to both technical peers and non-technical stakeholders.

Desirable Qualifications

• Understanding of aerodynamics or computational fluid dynamics principles.
• Experience incorporating physical constraints or physics-informed learning into ML models.
• Knowledge of geometric ML representations, including 3D data or mesh structures.
• Familiarity with design optimization algorithms within engineering domains.

Why Join?

This position offers a unique opportunity to shape the architecture and strategic direction of a cutting-edge AI platform transforming physical engineering problem-solving. The team includes experts from top AI research institutions and engineering companies, working on projects that have meaningful impacts on sustainable energy initiatives and efficient transportation.

Additional Information

Applicants must already have the legal right to work in the United Kingdom; visa sponsorship is not offered.