Artificial Intelligence, Emerging Technology

Hexaware Invests £25 Million in UK Expansion, Creating 1,200 Jobs

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June 17, 2026 by Ivy Delaney

Hexaware Technologies plans to invest £25 million in a UK expansion expected to create 1,200 jobs across Manchester, Leeds, and Birmingham. The investment, focusing on artificial intelligence, digital services, and quantum computing, received recognition from the UK Government at the G7 Summit alongside commitments to AI and clean energy. New research and development centers will be established in Manchester and Leeds, complementing an expanded delivery center in Birmingham, demonstrating a geographically diverse growth strategy. “Hexaware has worked alongside businesses in the UK for more than three decades,” said R. Srikrishna, CEO & Executive Director, Hexaware, adding that their investments are focused on developing young talent and collaborating with government to create a positive impact for UK citizens.

Hexaware’s £25 Million UK Investment to Create 1,200 Tech Roles

Hexaware Technologies’ £25 million investment in the United Kingdom aligns with international priorities established at the recent G7 Summit, as the UK Government highlighted the expansion alongside commitments to artificial intelligence and clean energy initiatives. This financial commitment is earmarked for the creation of approximately 1,200 technology roles distributed across three key cities: Manchester, Leeds, and Birmingham, indicating a geographically diverse strategy for growth beyond simply bolstering existing infrastructure. The investment focuses not only on established technologies but also on emerging fields like quantum computing, alongside areas such as AI and digital services. This focus suggests a long-term vision extending beyond immediate market demands, positioning the company to capitalize on potentially disruptive technologies as they mature. Srikrishna further elaborated on the company’s ambitions, stating, “We have very high ambitions for our growth, creating impact in the UK and proudly supporting the Government’s inclusive vision for AI.” The UK currently represents Hexaware’s second-largest global market and its fastest-growing geographic region, a status reinforced by the opening of its UK headquarters in London’s Canary Wharf in 2023.

Parameshwaran (Param) Iyer, Executive Vice President, Head, UK and Europe, Hexaware, underscored the importance of local expertise, noting, “Our UK clients are moving fast on AI, and having research and delivery talent on the ground here means we can build with them rather than for them.” This localized approach is intended to foster collaborative innovation and accelerate the delivery of tailored solutions, while also contributing to the development of a skilled workforce capable of driving the UK’s long-term economic growth through advancements in AI research, digital innovation for citizen services, and talent incubation. According to Srikrishna, these investments “will create meaningful social impact while fueling and accelerating the UK’s long-term economic growth.”

Hexaware has worked alongside businesses in the UK for more than three decades. We have very high ambitions for our growth, creating impact in the UK and proudly supporting the Government’s inclusive vision for AI.

R. Srikrishna, CEO & Executive Director, Hexaware
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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