Senior Research ML Engineer — Physics AI (Hybrid + Equity)

PhysicsX; Greater London; Hybride; GBP 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

Equity options

10% employer pension contribution

Free office lunches

Enhanced parental leave

Résumé du poste

PhysicsX Ltd. in London, UK, is hiring a Senior Research Machine Learning Engineer to advance AI-powered physics simulations.

You will join a team of engineers and scientists to transform prototypes into robust production ML systems, operating across multi-GPU clusters and cloud infrastructure. You will optimize models, contribute to scalable ML pipelines, and collaborate with researchers to push the boundaries of machine learning for engineering applications.

Qualifications

• Interest in applying ML to science and engineering.
• Ability to work autonomously in a fast-paced environment.
• Strong collaboration and communication with research scientists.
• Experience with software engineering concepts (versioning, testing, CI/CD, API design, MLOps).
• Experience building ML models and pipelines in Python (PyTorch, TensorFlow, JAX).
• Experience with GPU programming and CUDA/Triton, scaling ML models.

Responsabilités

• Work with simulation engineers and researchers to understand physics and engineering challenges.
• Turn prototypes into production-grade ML models, libraries, and tooling.
• Work with multi-GPU/multi-node distributed systems for training and inference with large data.
• Optimize models and pipelines from scheduling to GPU kernels.
• Design scalable infrastructure for end-to-end ML apps on cloud (CoreWeave, AWS).
• Apply engineering best practices and mentor colleagues.

Connaissances

ML for science & engineering

Autonomous work

Collaboration with researchers

Software engineering best practices

MLOps understanding

Outils

PyTorch

TensorFlow

JAX

CUDA

Triton

Description du poste

PhysicsX Ltd. in London, UK, is hiring a Senior Research Machine Learning Engineer to advance AI-powered physics simulations.

You will join a team of engineers and scientists to transform prototypes into robust production ML systems, operating across multi-GPU clusters and cloud infrastructure. You will optimize models, contribute to scalable ML pipelines, and collaborate with researchers to push the boundaries of machine learning for engineering applications.