Machine Learning Engineer

4 weeks ago

London, Greater London, United Kingdom PhysicsX Ltd Full time
Introduction

PhysicsX is a pioneering deep-tech company that harnesses the power of machine learning to revolutionize physics simulations and unlock new optimization opportunities in design and engineering.

Our team of scientists and engineers has developed cutting-edge machine learning applications that have been proven in Formula One and are now being applied in various industries, including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables.

Key Responsibilities
  • Collaborate with our simulation engineers, data scientists, and customers to develop a deep understanding of the physics and engineering challenges we are addressing.
  • Design, build, and test data pipelines for machine learning that are reliable, scalable, and easily deployable.
  • Explore and manipulate 3D point cloud & mesh data to drive insights and inform decision-making.
  • Create analytics environments and resources in the cloud or on-premise, spanning data engineering and science.
  • Work at the intersection of data science and software engineering to translate the results of our R&D and projects into reusable libraries, tooling, and products.
Requirements
  • Enthusiasm for using machine learning to drive scientific and engineering breakthroughs.
  • Passion for managing, mentoring, and coaching junior colleagues (for more experienced candidates).
  • Degree in computer science, software engineering, or equivalent.
  • 3-6 years' experience in a data-driven role, with exposure to software engineering concepts and best practices, building machine learning models and pipelines in Python, and working with cloud computing platforms.
  • Ability to scope and effectively deliver projects, work collaboratively with a diverse team, and maintain a healthy work-life balance.
  • Competitive compensation and equity package, generous vacation and parental leave, complimentary office food, and opportunities for professional growth and development.
  • Flexible working arrangements, including the option to work from home or our offices in London Shoreditch or Bicester Heritage.
Our Commitment to Diversity and Inclusion

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation, or gender identity. We sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

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