{ "url": "https://www.spotsalary.com/salary/machine-learning-engineer/kenya-ke", "canonical": "https://www.spotsalary.com/salary/machine-learning-engineer/kenya-ke", "headline": "Machine Learning Engineer Salary in Kenya", "description": "Median Machine Learning Engineer salary in Kenya is KES 8M per year. Compare P10–P90 salary bands by experience, take-home pay and a five-year outlook.", "occupation": { "name": "Machine Learning Engineer", "slug": "machine-learning-engineer", "family": "technology", "soc_code": "15-2051", "aliases": [ "ML Engineer", "AI Engineer" ], "description": null }, "location": { "name": "Kenya", "slug": "kenya-ke", "type": "country", "iso2": "KE", "currency": "KES" }, "period": 2026, "confidence": 58, "status": "published", "method": "nearest_neighbor", "updated_at": "2026-10-30T06:33:52+00:00", "salary_bands": [ { "level": "entry", "years_experience": [ 0, 2 ], "p10": 2815907.08, "p25": 3419315.91, "p50": 4022724.56, "p75": 4626133.39, "p90": 5430678.3, "base_share": 95, "bonus_share": 5, "equity_share": 0 }, { "level": "mid", "years_experience": [ 3, 5 ], "p10": 4085614.51, "p25": 5718266.76, "p50": 7957873.88, "p75": 10121816.4, "p90": 12711131.85, "base_share": 88, "bonus_share": 8, "equity_share": 4 }, { "level": "senior", "years_experience": [ 6, 9 ], "p10": 9191343.81, "p25": 11160917.68, "p50": 13130491.82, "p75": 15100065.7, "p90": 17726163.5, "base_share": 80, "bonus_share": 10, "equity_share": 10 }, { "level": "executive", "years_experience": [ 10, 15 ], "p10": 12130061.87, "p25": 14729360.88, "p50": 17328659.66, "p75": 19927958.66, "p90": 23393690.59, "base_share": 65, "bonus_share": 15, "equity_share": 20 } ], "take_home": { "currency": "KES", "tax_rate": 29.828432151528396, "top_rate": null, "method": "progressive", "label": "progressive brackets", "standard_deduction": 0, "rebate": 0, "source": "PwC Worldwide Tax Summaries", "source_url": "https://taxsummaries.pwc.com/kenya/individual/taxes-on-personal-income", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "excludes personal and insurance relief", "bands": [ { "level": "entry", "gross": 4022724.56, "taxable": 4022724.56, "tax": 1144217.368, "effective_rate": 28.44384075851318, "net_annual": 2878507.192, "net_monthly": 239875.59933333332, "method": "progressive", "top_rate": null, "standard_deduction": 0, "rebate": 0, "source": "PwC Worldwide Tax Summaries", "source_url": "https://taxsummaries.pwc.com/kenya/individual/taxes-on-personal-income", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "excludes personal and insurance relief" }, { "level": "mid", "gross": 7957873.88, "taxable": 7957873.88, "tax": 2373709.011, "effective_rate": 29.828432151528396, "net_annual": 5584164.869, "net_monthly": 465347.07241666666, "method": "progressive", "top_rate": null, "standard_deduction": 0, "rebate": 0, "source": "PwC Worldwide Tax Summaries", "source_url": "https://taxsummaries.pwc.com/kenya/individual/taxes-on-personal-income", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "excludes personal and insurance relief" }, { "level": "senior", "gross": 13130491.82, "taxable": 13130491.82, "tax": 4143072.137, "effective_rate": 31.553061330797888, "net_annual": 8987419.683, "net_monthly": 748951.64025, "method": "progressive", "top_rate": null, "standard_deduction": 0, "rebate": 0, "source": "PwC Worldwide Tax Summaries", "source_url": "https://taxsummaries.pwc.com/kenya/individual/taxes-on-personal-income", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "excludes personal and insurance relief" }, { "level": "executive", "gross": 17328659.66, "taxable": 17328659.66, "tax": 5612430.881, "effective_rate": 32.388141905488844, "net_annual": 11716228.779, "net_monthly": 976352.39825, "method": "progressive", "top_rate": null, "standard_deduction": 0, "rebate": 0, "source": "PwC Worldwide Tax Summaries", "source_url": "https://taxsummaries.pwc.com/kenya/individual/taxes-on-personal-income", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "excludes personal and insurance relief" } ] }, "outlook": { "direction": "growing", "inflation_pct": 5, "real_growth_pct": 11.5, "forecasts": [ { "year": 2027, "scenario": "base", "p25": 8677583.99, "p50": 9270923.07, "p75": 9864262.15, "confidence": 52, "drivers": [ { "name": "Inflation (CPI)", "note": "5.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "6.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 52/100", "weight": "medium", "direction": "steady" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "11.5% after 5.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "16.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2027, "scenario": "conservative", "p25": 8565855.44, "p50": 9151554.96, "p75": 9737254.48, "confidence": 52, "drivers": [ { "name": "Inflation (CPI)", "note": "5.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "6.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 52/100", "weight": "medium", "direction": "steady" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "11.5% after 5.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "16.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2027, "scenario": "optimistic", "p25": 8789312.54, "p50": 9390291.18, "p75": 9991269.81, "confidence": 52, "drivers": [ { "name": "Inflation (CPI)", "note": "5.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "6.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 52/100", "weight": "medium", "direction": "steady" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "11.5% after 5.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "16.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "base", "p25": 11676772.11, "p50": 12582728.56, "p75": 13488685.02, "confidence": 40, "drivers": [ { "name": "Inflation (CPI)", "note": "5.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "6.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 52/100", "weight": "medium", "direction": "steady" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "11.5% after 5.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "16.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "conservative", "p25": 11231520.37, "p50": 12102931.44, "p75": 12974342.5, "confidence": 40, "drivers": [ { "name": "Inflation (CPI)", "note": "5.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "6.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 52/100", "weight": "medium", "direction": "steady" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "11.5% after 5.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "16.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "optimistic", "p25": 12133638.45, "p50": 13075041.44, "p75": 14016444.42, "confidence": 40, "drivers": [ { "name": "Inflation (CPI)", "note": "5.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "6.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 52/100", "weight": "medium", "direction": "steady" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "11.5% after 5.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "16.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "base", "p25": 15711386.27, "p50": 17077593.78, "p75": 18443801.28, "confidence": 30, "drivers": [ { "name": "Inflation (CPI)", "note": "5.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "6.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 52/100", "weight": "medium", "direction": "steady" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "11.5% after 5.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "16.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "conservative", "p25": 14725636.68, "p50": 16006126.83, "p75": 17286616.97, "confidence": 30, "drivers": [ { "name": "Inflation (CPI)", "note": "5.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "6.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 52/100", "weight": "medium", "direction": "steady" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "11.5% after 5.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "16.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "optimistic", "p25": 16749232.68, "p50": 18205687.7, "p75": 19662142.71, "confidence": 30, "drivers": [ { "name": "Inflation (CPI)", "note": "5.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "6.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 52/100", "weight": "medium", "direction": "steady" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "11.5% after 5.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "16.5% modelled nominal growth", "weight": "high", "direction": "up" } ] } ] }, "skills": [], "sources": [ { "name": "Iran", "url": null, "type": "nearest_donor", "tier": "derived" }, { "name": "Guinea", "url": null, "type": "nearest_donor", "tier": "derived" } ], "faqs": [ { "question": "What is the average salary of a Machine Learning Engineer in Kenya?", "answer": "SpotSalary models a median annual salary of KES 8M for a Machine Learning Engineer in Kenya, or about KES 663,156 per month before tax. The middle 50% of the estimate ranges from KES 5.7M to KES 10.1M, with a full P10–P90 range of KES 4.1M to KES 12.7M. This is a modelled estimate, not a job offer." }, { "question": "How much does an entry-level Machine Learning Engineer earn in Kenya?", "answer": "The entry-level band for a Machine Learning Engineer in Kenya centres on KES 4M per year (P25–P75: KES 3.4M–KES 4.6M). Entry-level pay typically covers the first 2 years of experience and depends on company size, skills and responsibilities." }, { "question": "How much does a senior or executive Machine Learning Engineer earn in Kenya?", "answer": "The executive band for a Machine Learning Engineer in Kenya has a median of KES 17.3M per year and a P75 of KES 19.9M. Senior and executive packages often include a larger bonus and equity component; this benchmark shows the total-compensation split for each level." }, { "question": "What is the salary outlook for a Machine Learning Engineer in Kenya?", "answer": "The outlook is growing. In the base scenario, median pay reaches KES 17.1M by 2031, about 114.6% above today before inflation and 11.5% per year in real terms after 5.0% inflation. Scenario bands widen over time and are not guarantees." }, { "question": "What is the take-home pay for a Machine Learning Engineer in Kenya?", "answer": "After an effective income tax rate of 29.8%, the mid-level Machine Learning Engineer in Kenya takes home about KES 5,584,165 per year, or KES 465,347 per month. The estimate uses imported national tax brackets and does not include social contributions or local levies." }, { "question": "How does SpotSalary calculate these salary estimates?", "answer": "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 58% confidence and draws on 12 salary observations." } ], "related": { "occupation_locations": [ { "headline": "Machine Learning Engineer Salary in Mexico", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/mexico-mx" }, { "headline": "Machine Learning Engineer Salary in Pristina, Kosovo", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/pristina-xk-1901760068" }, { "headline": "Machine Learning Engineer Salary in Iceland", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/iceland-is" }, { "headline": "Machine Learning Engineer Salary in Kuala Lumpur, Malaysia", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/kuala-lumpur-my-1458988644" }, { "headline": "Machine Learning Engineer Salary in Belgium", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/belgium-be" }, { "headline": "Machine Learning Engineer Salary in Guinea", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/guinea-gn" }, { "headline": "Machine Learning Engineer Salary in Cuba", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/cuba-cu" }, { "headline": "Machine Learning Engineer Salary in Iran", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/iran-ir" }, { "headline": "Machine Learning Engineer Salary in Singapore", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/singapore-sg" }, { "headline": "Machine Learning Engineer Salary in Canada", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/canada-ca" }, { "headline": "Machine Learning Engineer Salary in Malaysia", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/malaysia-my" }, { "headline": "Machine Learning Engineer Salary in Japan", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/japan-jp" } ], "occupation_hub": "https://www.spotsalary.com/occupations/machine-learning-engineer", "location_hub": "https://www.spotsalary.com/locations/kenya-ke", "all_salaries": "https://www.spotsalary.com/salaries" }, "citation": { "plain": "Machine Learning Engineer Salary in Kenya. SpotSalary. https://www.spotsalary.com/salary/machine-learning-engineer/kenya-ke", "updated_at": "2026-10-30T06:33:52+00:00" } }