# Machine Learning Engineer Salary in Ghana > Median Machine Learning Engineer salary in Ghana is GHS 14.8K per year. Compare P10–P90 salary bands by experience, take-home pay and a five-year outlook. - Canonical URL: https://www.spotsalary.com/salary/machine-learning-engineer/ghana-gh - Currency: GHS - Benchmark year: 2026 - Confidence: 50% - Outlook: Growing - Last updated: 2026-10-30T04:11:14+00:00 - Generated by: SpotSalary ## Key facts - Median (mid-level) annual salary: **GHS 14.8K** (GHS 1,237 per month before tax). - Middle 50% range (P25–P75): GHS 11.9K – GHS 17.2K. - Full range (P10–P90): GHS 9.5K – GHS 20.6K. - Experience band: 3–5 years. ## Salary by experience level | Level | Experience | P10 | P25 | Median | P75 | P90 | Base / Bonus / Equity | | --- | --- | ---: | ---: | ---: | ---: | ---: | --- | | Entry | 0–2 yrs | GHS 6.2K | GHS 7.7K | GHS 9.6K | GHS 11.2K | GHS 13.4K | 95% / 5% / 0% | | Mid | 3–5 yrs | GHS 9.5K | GHS 11.9K | GHS 14.8K | GHS 17.2K | GHS 20.6K | 88% / 8% / 4% | | Senior | 6–9 yrs | GHS 15.7K | GHS 19.6K | GHS 24.5K | GHS 28.4K | GHS 34K | 80% / 10% / 10% | | Executive | 10–15 yrs | GHS 26.7K | GHS 33.3K | GHS 41.6K | GHS 48.2K | GHS 57.7K | 65% / 15% / 20% | ## Take-home pay Tax method: top rate only. | Level | Gross | Tax | Effective rate | Net annual | Net monthly | | --- | ---: | ---: | ---: | ---: | ---: | | Entry | GHS 9,649 | n/a | n/a% | n/a | n/a | | Mid | GHS 14,844 | n/a | n/a% | n/a | n/a | | Senior | GHS 24,493 | n/a | n/a% | n/a | n/a | | Executive | GHS 41,564 | n/a | n/a% | n/a | n/a | Social contributions and local levies are not included. ## Five-year salary outlook Outlook: Growing. Inflation assumption: 3.0%/year. Real growth: 10.0%/year. | Year | P25 | Base (P50) | P75 | Nominal change vs today | | --- | ---: | ---: | ---: | ---: | | 2027 | GHS 15.7K | GHS 16.8K | GHS 17.8K | 13.0% | | 2029 | GHS 19.9K | GHS 21.4K | GHS 23K | 44.3% | | 2031 | GHS 25.2K | GHS 27.3K | GHS 29.5K | 84.2% | ## What moves this number - **Inflation (CPI)** (steady): 3.0% annual price growth - **Wage growth** (up): 3.0% nominal wage trend - **Role demand trend** (up): 10.0% annual role demand - **Hiring demand** (steady): Demand index 50/100 - **Automation exposure** (steady): 20% exposure - **Real wage growth** (up): 10.0% after 3.0% inflation - **Scenario growth** (up): 13.0% modelled nominal growth ## Frequently asked questions ### What is the average salary of a Machine Learning Engineer in Ghana? SpotSalary models a median annual salary of GHS 14.8K for a Machine Learning Engineer in Ghana, or about GHS 1,237 per month before tax. The middle 50% of the estimate ranges from GHS 11.9K to GHS 17.2K, with a full P10–P90 range of GHS 9.5K to GHS 20.6K. This is a modelled estimate, not a job offer. ### How much does an entry-level Machine Learning Engineer earn in Ghana? The entry-level band for a Machine Learning Engineer in Ghana centres on GHS 9.6K per year (P25–P75: GHS 7.7K–GHS 11.2K). Entry-level pay typically covers the first 2 years of experience and depends on company size, skills and responsibilities. ### How much does a senior or executive Machine Learning Engineer earn in Ghana? The executive band for a Machine Learning Engineer in Ghana has a median of GHS 41.6K per year and a P75 of GHS 48.2K. Senior and executive packages often include a larger bonus and equity component; this benchmark shows the total-compensation split for each level. ### What is the salary outlook for a Machine Learning Engineer in Ghana? The outlook is growing. In the base scenario, median pay reaches GHS 27.3K by 2031, about 84.2% above today before inflation and 10.0% per year in real terms after 3.0% inflation. Scenario bands widen over time and are not guarantees. ### How does SpotSalary calculate these salary estimates? Estimates are anchored to external market signals — GDP per capita PPP, inflation, wage growth, cost of living, demand and automation exposure — and synthesised with AI. Deterministic validation rejects implausible outputs. This report carries 50% confidence. ## Methodology and sources SpotSalary anchors estimates to external market signals (GDP per capita PPP, inflation, wage growth, cost of living, demand and automation exposure) and synthesises them with AI. Deterministic validation rejects implausible outputs. Figures are modelled estimates for guidance only, not offers. 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