Senior Research Scientist - Physics AI for Industry

PhysicsX; Greater London; Hybrid; GBP 110,000 - 160,000; Full time

Benefits offered by this job

Equity options

10% employer pension contribution

Free office lunches

Enhanced parental leave

25 days of Annual Leave + publichols

Private medical insurance

Bike2Work scheme

Season ticket loan

Octopus EV salary sacrifice

Diversity and inclusion programs

Job summary

PhysicsX, a physics AI company, is hiring for senior ML researchers in London. You will lead research streams, translate physics and engineering challenges into mathematical formulations, and build models using state-of-the-art machine learning and deep learning techniques.

You will collaborate with ML engineers, simulation teams, and customers, translating results into production-ready code and disseminating findings to academic and industry audiences. Hybrid work with a London base is offered.

Qualifications

• PhD in computer science, ML, applied statistics, mathematics, physics, engineering, or related field.
• 4+ years in a professional industry setting building ML models and pipelines in Python.
• Publication track record in reputable venues (NeurIPS/ICML/ICLR/TPAMI or similar).
• Experience translating physics/engineering challenges into ML formulations and production-ready code.

Responsibilities

• Own research workstreams and define technical direction with milestones.
• Build models to predict physical system behavior using state-of-the-art ML/DL techniques.
• Collaborate with ML engineers and customers to translate problems into actionable solutions.
• Publish results for academic and industry audiences; communicate across teams.

Skills

Python (PyTorch/CUDA)

JAX

NumPy/SciPy

Deep learning

Machine learning pipelines

Education

PhD in computer science, ML, math, physics or related field

Tools

PyTorch

CUDA

JAX

NumPy/SciPy

Job description

PhysicsX, a physics AI company, is hiring for senior ML researchers in London. You will lead research streams, translate physics and engineering challenges into mathematical formulations, and build models using state-of-the-art machine learning and deep learning techniques.

You will collaborate with ML engineers, simulation teams, and customers, translating results into production-ready code and disseminating findings to academic and industry audiences. Hybrid work with a London base is offered.