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    Machine Learning Engineer Data Science - London, United Kingdom - PhysicsX Ltd

    PhysicsX Ltd
    PhysicsX Ltd London, United Kingdom

    1 week ago

    Default job background
    Description

    PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering.

    Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance.

    We do this in some of the most advanced and important industries of our time – including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables.

    Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, andincreasing the performance of wind turbines.

    We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning engineer to join our team. Work intimately with our simulation engineers and research scientists to develop an understanding of the physics and engineering challenges we are solving
    Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain
    Transform prototype implementations to robust production-grade implementation of models
    Explore distributed training architectures and federated learning capacity
    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 into re-usable libraries, tooling and products
    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., AWS, Azure, GCP) and HP computing
    ~Ability to scope and effectively deliver projects
    ~ Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. Receive a competitive compensation and equity package, in addition to plenty of perks such as generous vacation and parental leave, complimentary office food, as well as fun outings and events

    Work in a flexible setting, at our lovely London Shoreditch office, and a good proportion from home if so desired.

    Use first-class equipment for working in-office or remotely, including HPC

    We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity.

    To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

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