Machine Learning Engineer

4 weeks ago


London, Greater London, United Kingdom Royal Bank of Canada> Full time
Job Summary

We are seeking a highly skilled Machine Learning Engineer to join our team at the Royal Bank of Canada. As a key member of our data science team, you will be responsible for designing, developing, and deploying machine learning models and pipelines to drive business value.

Key Responsibilities
  • Collaborate with cross-functional teams to develop and implement machine learning solutions that meet business needs.
  • Design and develop MLOps pipelines and associated infrastructure to support the deployment of machine learning models.
  • Work with data scientists and engineers to refine and develop requirements for various data and AI initiatives.
  • Implement and use innovative tools and techniques to automate data preparation, modeling, and integration tasks.
  • Assist in renovating the data science infrastructure to drive automation and ensure production code/machine learning systems are running smoothly and efficiently.
  • Design and implement automated tests for data, models, and code to ensure quality and reliability.
  • Stay up-to-date with new AI initiatives and propose innovative data preparation, modeling, and operationalization techniques.
  • Ensure the data science team adheres to best software engineering and software design principles.
Requirements
  • Proven experience in bringing machine learning models into production.
  • Experience working in cross-functional teams on data products and collaborating with business stakeholders.
  • Degree level qualifications or equivalent experience in computer science, statistics, applied mathematics, data management, or a related quantitative field.
  • Adept in agile methodologies and capable of applying DevOps and MLOps principles.
What We Offer
  • Leaders who support your development through coaching and managing opportunities.
  • Opportunities to work with the best in the field.
  • Ability to make a difference and lasting impact.
  • Work in a dynamic, collaborative, progressive, and high-performing team.
  • Flexible working and hybrid options fully supported.


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