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Global Hotspots: Navigating the World's Machine Learning Markets

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Global Hotspots: Navigating the World's Machine Learning Markets

​Machine learning sits firmly in the limelight of today’s top tech jobs. Between increasing demand for skilled engineers and mainstream AI adoption, the future looks bright for those with ML-oriented skill sets.

Competitive wages, bleeding-edge systems, and a host of industries to choose from make for solid career prospects. Known as a subdiscipline of AI, machine learning has garnered a fair amount of attention in recent years, with hopeful tech aficionados casting their net out on the international stage. This begs the question: Where’s the best place to embark on an ML engineering job?

As specialised DeepTech recruiters, we’ve had the privilege of working with innovators all over the globe – here are some of the world’s most competitive nations when it comes to machine learning careers.


In many ways, Switzerland is leading the pack in ML innovation. Its advancements in AI-enabled healthcare, precision manufacturing, and Green FinTech are reshaping the global landscape.

Why? It’s largely down to innovation-focused government policies, favourable corporate tax conditions, world-class education systems, and collaboration culture (among other factors).

Its high wages and stellar work/life balance, combined with its number one spot on the global talent competitive index, make Switzerland a hub for international machine learning talent.

According to Glassdoor, the average salary for a machine learning engineer in Zurich is between CHF 98,000 and CHF 123,000 per year, although we’ve seen this number increase substantially depending on the industry (big tech is still an outlier for inflated wages).

Plus, the nation’s rising demand for machine learning talent makes specialised candidates even more valuable. Tech’s global talent shortage has affected Switzerland across the board, and machine learning is no different – it’s a key driver in the country’s need to outsource internationally. If you happen to be one of those candidates, now could be the ideal time to consider a move.

The United Kingdom

With its high-quality education, multicultural melting pots, and a storied history of breakthroughs in AI (from Turing to the Isambard Supercomputer), the UK is on the lookout for machine learning talent, and demand is rising.

In the UK, machine learning engineers command an average total compensation of £76,300 according to our talent insights, a number that climbs to £175,000 at the senior levels up from a low of £30,300.

Like the majority of global markets, ML talent is in demand, and the talent pool is struggling to keep up.

Key locations for machine learning work in the UK include London, Bristol, Edinburgh and Manchester.

The United States

The United States is the global leader in market share in machine learning. According to Statista, the US machine learning market will reach a value of $528.1 billion by 2030. The nation is home to many of the world’s biggest tech giants, and their high rate of investment has made way for a wealth of prosperous opportunities for hopeful engineers.

As per our LinkedIn insights, the US pays an extraordinary average total compensation of £171,800 ($216,473) to its machine learning engineers, with a low of £97,000 ($122,183) and a high of £260,000 ($327,501).

When it comes to locations, hidden gems include Greater Boston, Los Angeles, Washington DC, and Baltimore.

Indeed ranked Machine Learning engineer jobs in the US 8th on their ‘Best Jobs of 2023’ list – if the rate of innovation is anything to go by, this already great ranking is likely to improve in the coming year.

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