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โ† Machine Learning Engineer in all countries

Machine Learning Engineer: Brazil vs United Kingdom

Side-by-side salary comparison ยท Estimated based on OECD & BLS data

๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom pays 339% more

๐Ÿ‡ง๐Ÿ‡ท

Brazil

BRL

Estimated Salary (USD)

$19,648

per year

Local Currency (BRL)

R$98,240

per year

PPP Adjusted

$144,066

purchasing power

Big Mac Power

4,290

burgers / year

Global Percentile

Bottom 5%

Higher Pay
๐Ÿ‡ฌ๐Ÿ‡ง

United Kingdom

GBP

Estimated Salary (USD)

$86,237

per year

Local Currency (GBP)

ยฃ68,127

per year

PPP Adjusted

$134,638

purchasing power

Big Mac Power

16,271

burgers / year

Global Percentile

Top 36%

Visual Comparison

Salary (USD)

๐Ÿ‡ง๐Ÿ‡ท Brazil
$19.6K
๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom
$86.2K

PPP Adjusted (USD)

๐Ÿ‡ง๐Ÿ‡ท Brazil
$144.1K
๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom
$134.6K

Big Mac Power (burgers/year)

๐Ÿ‡ง๐Ÿ‡ท Brazil
4,290
๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom
16,271

Key Takeaways

  • โ—

    Machine Learning Engineers in United Kingdom earn 339% more than in Brazil (nominal USD).

  • โ—

    After adjusting for purchasing power (PPP), both countries offer similar real value.

  • โ—

    Using the Big Mac Index, a Machine Learning Engineer's salary buys 3.8x more Big Macs in United Kingdom.

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Frequently Asked Questions

Who pays Machine Learning Engineers more: Brazil or United Kingdom?โ–พ

United Kingdom pays Machine Learning Engineers an estimated $86,237 USD per year, which is 339% more than Brazil's estimated $19,648 USD.

What is the PPP-adjusted salary for a Machine Learning Engineer in Brazil vs United Kingdom?โ–พ

The PPP-adjusted salary is $144,066 USD in Brazil and $134,638 USD in United Kingdom. PPP adjustment accounts for cost of living differences between the two countries.

How does the purchasing power compare for Machine Learning Engineers?โ–พ

Using the Big Mac Index, a Machine Learning Engineer in Brazil can buy about 4,290 Big Macs per year, while in United Kingdom it's about 16,271 Big Macs.

Estimated based on OECD & BLS data. Actual salaries vary by experience, company, and region. Data is for informational purposes only.

Sources: BLS OEWS ยท OECD ยท World Bank ยท Big Mac Index