AI startup Tomoro has announced a recruitment drive to create 20 AI jobs in its Edinburgh office over the next 12 months.

The roles, which the company say will attract a salary of up to £135,000 each, will form part of the company’s strategy to make the three-day working week a reality.

The company recently claimed that AI will transform productivity to such an extent that a 3-day working week, with no loss of employee income, will be possible within 5 years.

Ed Broussard, managing director at Tomoro said: “Tomoro is focused on helping our clients reinvent their businesses through deeply embedded AI. We’re already working on some of the most ambitious AI projects in the world from our London office and believe the talent, ecosystem and ambition to push the boundaries in Scotland is just as strong.

“We see this investment in Scotland as a great opportunity to accelerate our growth and become an active part of one of the most thriving data and AI centres in Europe.”

Broussard has a history of bringing AI jobs to Scotland having made a similar investment with Mudano, the last business he co-founded. In 2018 he established a world-leading AI R&D department in Edinburgh for Mudano who subsequently grew to become a leading financial services data and AI consultancy before being acquired by Accenture in 2020.

Les Bayne, chairman at The Datalab, Scotland’s Innovation Centre for Data and AI, welcomed the news: “To have one of Europe’s most exciting AI start-ups make such a significant investment in Scotland is an exciting moment for the Scottish data and AI community and demonstrates the world-leading role Scotland can play in the AI revolution”

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Tomoro, which recently announced its partnership with NVIDIA, and also works in alliance with ChatGPT creator OpenAI, says the new roles will cover all levels from graduates to experienced AI engineers. The jobs created include AI engineers, AI solution architects and AI consultants.

Individuals will work to design, build and deploy AI applications, working with large language models and organisational datasets and knowledge.