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Advanced Machine Learning Expert for Science and Engineering

1 month ago

London, Greater London, United Kingdom PhysicsX Ltd Full time

Company Overview


We are PhysicsX Ltd, a rapidly growing deep-tech company of scientists and engineers.



Salary


The estimated annual salary for this position is £80,000 - £120,000 based on the industry standards in London.



Job Description


As an advanced machine learning expert for science and engineering at PhysicsX Ltd, you will work intimately with our simulation engineers and research scientists to develop an understanding of the physics and engineering challenges we are solving.


You will design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. You will also transform prototype implementations to robust production-grade implementation of models.


In addition, you will explore distributed training architectures and federated learning capacity, create analytics environments and resources in the cloud or on-premise, spanning data engineering and science.


You will identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Furthermore, you will work at the intersection of data science and software engineering to translate the results of our R&D into re-usable libraries, tooling and products.


You will continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption.



Required Skills and Qualifications


To be successful in this role, you will need:



  • Enthusiasm about using machine learning for science and engineering, and especially in scaling such solutions to real-world settings
  • Degree (Master's/Doctorate) in computer science, software engineering or equivalent
  • Experience scaling ML models, both in compute and data storage
  • Federated learning experience is a bonus
  • 1+ year of experience in a data-driven role, with exposure to:

    • Software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps)
    • Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., PyTorch, MLFlow, JAX)
    • Distributed computing frameworks (e.g., Spark, Dask)
    • Cloud platforms (e.g., AWS, Azure, GCP) and HP computing
    • Containerization and orchestration (Docker, Kubernetes)

  • Ability to scope and effectively deliver projects
  • Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly
  • Excellent collaboration and communication skills - with teams and especially researchers


Benefits


We offer:



  • A competitive compensation and equity package
  • Generous vacation and parental leave
  • Complimentary office food
  • Fun outings and events
  • Flexible working setting, at our lovely London Shoreditch office, and a good proportion from home if so desired
  • First-class equipment for working in-office or remotely, including HPC


Others


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 strongly encourage individuals from groups traditionally underrepresented in tech to apply.