Machine Learning Engineer

WRK digital is proud to partner exclusively with a well-known, high-profile organisation on a transformative data journey. We are seeking a talented Machine Learning Engineer to play a pivotal role in a major data transformation initiative. This is an exceptional opportunity for an experienced Machine Learning Engineer to join a forward-thinking company as they build an intelligent data platform in close collaboration with AWS engineers.

This role will require the Machine Learning Engineer to have software and DevOps capabilities of an Machine Learning Ops engineer to build ML and CI-CD pipelines, proficiency in Infrastructure as Code and Sagemaker pipelines combined with Data Engineering capabilities., The Machine Learning Engineer will be responsible for:

• Designing and implementing automation pipelines to operationalise the ML platform and ML pipelines for CI/CD Pipelines
• Responsibility for mapping out data feeds into / out from the Machine Learning platform in collaboration with Solutions Architects and the IT Team
• Ensuring that the ML systems are developed and scaled reliably in line with the best practices for ML Ops and software engineering, ethics, and system security
• Creation of Data Engineering pipelines utilising Infrastructure as code (IAC) to ensure projects ingest data in an automated way that is quality checked and fit for purpose for machine learning modelling

• Strong experience with AWS infrastructure
• Strong software engineering skillset
• Experience writing well tested, readable code that is capable of processing large volumes of data and large amount of data processing and ML jobs,
• An excellent knowledge of basic machine learning libraries, such as NumPy, SciPy, Pandas, Dask, PyTorch, Tensorflow, etc.

If you're a data visionary with the technical expertise and leadership qualities to shape the future of data in a fast-moving business, we'd love to hear from you.