Inside and outside the tech industry, AI dominates the conversation around job creation and job loss. In fact, recent data from Accenture estimated that 40% of all work hours could be impacted by generative AI tools, and another study found that 300 million of his full-time jobs worldwide have been suggested to be at risk.
It’s no wonder that for many tech workers, jobs rooted in automation seem to be the golden ticket in terms of pay and security. A quick engineer is becoming more and more important in the US, and salaries can exceed his £300,000.
But for programmers, engineers, and data scientists looking to future-proof their careers and embrace technology’s next frontier, quantum computing shouldn’t be ignored.
“We need more quantum-savvy programmers and engineers. But equally important is to encourage quantum literacy across a wide variety of roles. , we need teachers, cyber analysts and strategists,” said Dr. Christine M. Gilkes, EY Global Innovation Quantum Leader.
“Quantum is a realm that requires all kinds of diverse thinking and leadership, not just physicists, programmers and engineers.”
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quantum program
In 2020, Australia’s University of New South Wales became the first university to award a Bachelor’s degree in quantum engineering.
Here in the UK, University College London offers postgraduate programs, and the University of Cambridge has added a quantum computing course to its Faculty of Computer Science and Technology.
Investors are also paying attention, and in 2022, VCs invested a record $2.35 billion in quantum computing. Also, the value of companies deploying quantum is predicted to increase by $1.3 trillion by 2035.
“Quantum is picking up pace, and given the progress we are seeing in using hybrid ML/quantum processes, we believe we will see significant benefits over the next two to three years,” added Dr. Gilkes.
“We are discovering a symbiotic relationship between the AI and quantum fields, each bringing unique value and making the other more efficient and faster. It has the ability to organize and manipulate very well, a feature that can benefit from quantum computing.”
Just as AI has outpaced predictions in all scaling timeframes, Dr. Gilkes believes rapid advances in quantum computing mean its impact will be felt in the years to come. .
“My prediction is that we won’t have to wait more than two to three years before we start to see the real potential.”
Are you ready to take the leap and embrace the next frontier of technology? The Information Age Job Board features thousands of job listings from actively hiring companies like these three: is a great place to start your search.
Machine Learning Engineer, Octopus Energy, London
Since 2015, Octopus has been on a mission to bring affordable green energy to the world. Our in-house technology platform, Kraken, provides a powerful opportunity for ML teams to work on optimizing their platform. As a machine learning engineer, he will focus on bringing next-generation AI-powered features to Kraken. Work across the product lifecycle. Identify uses for new technologies through research, work closely with operations teams to validate ideas deliver value, work with front-end and back-end engineers to implement, and monitor ongoing performance Create a system. . Learn more about.
Generative AI Specialist, Google Cloud, Google, London
Google is seeking a Generative AI Specialist to join the Google Cloud Platform team. In this role, you will be a subject matter expert in generative AI, working with product development and technical sales teams to bring Google Cloud AI products to customers and partners. He also helps prospective customers and partners understand the power of Google AI, explains technical features, helps customers design architectures, build AI-powered applications, and solve potential roadblocks. I will help you to do so. You will also have the opportunity to help customers take advantage of Google Cloud’s generative AI services, including large-scale language models and specialized machine learning hardware developed by Google called the Tensor Processing Unit. Learn more about.
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Machine Learning Engineer, Autodesk, London
As a Machine Learning Engineer at Autodesk Research, you will work alongside world-class researchers and engineers conducting basic and applied research. To do so, we scale our techniques for training large-scale models, collaborate with diverse global teams of researchers and engineers on research projects and papers, and build experimental pipelines, prototypes, and reusable code. Support research. See the full job description here.
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A lifestyle journalist and editor for over ten years, Aoibin McBride has written in Dublin, London, New York and Dubai.
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