Algorithm Developer
£63,484 (GBP)/yr
£30.52 (GBP)/hr
£2,838 (GBP)/yr
The average algorithm developer gross salary in Ilkeston, United Kingdom is £63,484 or an equivalent hourly rate of £31. This is 14% lower (-£10,340) than the average algorithm developer salary in United Kingdom. In addition, they earn an average bonus of £2,838. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Ilkeston, United Kingdom. An entry level algorithm developer (1-3 years of experience) earns an average salary of £44,369. On the other end, a senior level algorithm developer (8+ years of experience) earns an average salary of £71,724.
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£73,978 (GBP)
17 %
Based on our compensation data, the estimated salary potential for Algorithm Developer will increase 17 % over 5 years.
This chart displays the highest level of education for:
Algorithm Developer, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salary- Python Certification
- Google Associate Android Developer Certification - Java
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The cost of living in Ilkeston, United Kingdom is 15% less than the average cost of living in United Kingdom. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageIlkeston ( ILL-kis-tun) is a town located in the Borough of Erewash in Derbyshire, England, with a population of 40,953 at the 2021 census. Its major industries, coal mining, iron working and lace making/textiles, have now all but disappeared. Part of the Nottingham Urban Area, the town is located between the cities Derby and Nottingham, near the M1 motorway, and on the River Erewash. Its eastern boundary borders Nottinghamshire to the east and is only two miles from Nottingham's western edge.
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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