Machine Learning Engineer

4 weeks ago

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

PhysicsX Ltd is a pioneering deep-tech company that harnesses the power of machine learning to revolutionize physics simulations and engineering optimization. Our team of scientists and engineers is dedicated to developing innovative solutions that transform industries such as Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables.

We are seeking a highly skilled Machine Learning Engineer to join our product engineering team. As a key member of our team, you will play a crucial role in shaping our software development standards, frameworks, testing, and release processes.

Key Responsibilities
  • Collaborate with simulation engineers, data scientists, and customers to develop a deep understanding of the physics and engineering challenges we are solving.
  • Work closely with product management to identify new opportunities for the product engineering team.
  • Design and develop Python libraries that solve complex problems in applying machine learning to design and engineering.
  • Write high-quality code that enables the creation of scalable and reliable machine learning libraries.
  • Explore new techniques and frameworks to integrate into our tech stack, ensuring we stay at the forefront of technological advancements.
Requirements
  • Enthusiasm for building machine learning products for science and engineering.
  • Degree in computer science, software engineering, or equivalent.
  • 2+ years' experience in a product engineering role, with exposure to:
  • Implementing Python libraries using OOP principles.
  • Experience applying DL or NN model architectures to geometric data.
  • Extensive experience with numerical and DL libraries.
  • Docker for development and deployment.
  • Experience in CAD/CFD/FEA is a plus.
  • Excellent collaboration and communication skills.
What We Offer
  • Be part of a dynamic team that is shaping the future of physics simulations and engineering optimization.
  • Competitive compensation and equity package.
  • Generous vacation and parental leave policies.
  • Complimentary office food and fun outings and events.
  • Flexible working arrangements, including the option to work from home or our offices in London Shoreditch or Bicester Heritage.
Our Commitment

We value diversity and are committed to equal employment opportunity. We sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

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