Speaker

Maryleen Amaizu

Maryleen Amaizu

Machine Learning Engineer at Redgate

Chesterfield, United Kingdom

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Dr. Maryleen Amaizu is a Machine Learning Engineer at Redgate Software, specialising in synthetic data generation for the Test Data Management team. With a PhD and a strong background in machine learning and Internet of Things, she applies her expertise to develop innovative solutions that enhance data privacy and compliance in software testing. Previously, as a Principal Investigator at the Alan Turing Institute, she led a research project in collaboration with kunato.ai, focusing on building trust and combating misinformation with AI. Maryleen earned her PhD from the University of Leicester, where she designed performance-efficient, privacy-preserving machine learning systems for resource-constrained environments. Her global contributions to digital technology have been recognized with two Global Talent Visa Awards in the UK and Australia. She co-founded Glotale, a platform focused on attracting talents to booming locales and opportunities worldwide.

Area of Expertise

  • Government, Social Sector & Education
  • Information & Communications Technology
  • Travel & Tourism

Topics

  • Generative AI
  • Global Talent Visa
  • Visa migration
  • internet of things
  • Data Science
  • Data analysis
  • Machine Learning
  • Edge Computing
  • Cloud Technology
  • Women in Tech
  • Tech Careers
  • Artificial Intelligence

Accelerate Your Digital Career with the Global Talent Visa

The Global Talent Visa (GTV) is an opportunity for exceptional talent in digital technology to live and work abroad. The application process can be complex, but it is possible to succeed with careful preparation.

In this webinar, Maryleen & Miracle will share their unique experience of obtaining both the UK and Australia GTVs through the digital technology route. They will compare the two visas and discuss the pros and cons of each, as well as provide insights into the key requirements and considerations for applying and renewing.

Topics covered
*Australia and the UK as potential relocation spots for digital technology professionals
*Specific criteria for qualifying for the GTV in digital technology
*Steps involved in the GTV application process for digital technology professionals
*Challenges faced by digital technology professionals applying for the GTV
*Specific strategies or best practices found helpful during the GTV application process
*Advice for digital technology professionals considering applying for the GTV

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September 2023

Maryleen Amaizu

Machine Learning Engineer at Redgate

Chesterfield, United Kingdom

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