{ "url": "https://www.spotsalary.com/salary/machine-learning-engineer/united-arab-emirates-ae", "canonical": "https://www.spotsalary.com/salary/machine-learning-engineer/united-arab-emirates-ae", "headline": "Machine Learning Engineer Salary in United Arab Emirates", "description": "Median Machine Learning Engineer salary in United Arab Emirates is AED 1.2M 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": "United Arab Emirates", "slug": "united-arab-emirates-ae", "type": "country", "iso2": "AE", "currency": "AED" }, "period": 2026, "confidence": 58, "status": "published", "method": "nearest_neighbor", "updated_at": "2026-11-01T11:14:14+00:00", "salary_bands": [ { "level": "entry", "years_experience": [ 0, 2 ], "p10": 428405.35, "p25": 507378.84, "p50": 600299.62, "p75": 681886.18, "p90": 783071.25, "base_share": 95, "bonus_share": 5, "equity_share": 0 }, { "level": "mid", "years_experience": [ 3, 5 ], "p10": 671555.46, "p25": 908796.02, "p50": 1246952.82, "p75": 1585015.45, "p90": 1788149.15, "base_share": 88, "bonus_share": 8, "equity_share": 4 }, { "level": "senior", "years_experience": [ 6, 9 ], "p10": 1390938.04, "p25": 1688996.23, "p50": 1987054.48, "p75": 2285112.65, "p90": 2682523.47, "base_share": 80, "bonus_share": 10, "equity_share": 10 }, { "level": "executive", "years_experience": [ 10, 15 ], "p10": 1712489.09, "p25": 2079451.04, "p50": 2446412.95, "p75": 2813374.89, "p90": 3302657.49, "base_share": 65, "bonus_share": 15, "equity_share": 20 } ], "take_home": { "currency": "AED", "tax_rate": 0, "top_rate": null, "method": "progressive", "label": "progressive brackets", "standard_deduction": 0, "rebate": 0, "source": "UAE Ministry of Finance", "source_url": "https://mof.gov.ae/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "0% personal income tax", "bands": [ { "level": "entry", "gross": 600299.62, "taxable": 600299.62, "tax": 0, "effective_rate": 0, "net_annual": 600299.62, "net_monthly": 50024.96833333333, "method": "progressive", "top_rate": null, "standard_deduction": 0, "rebate": 0, "source": "UAE Ministry of Finance", "source_url": "https://mof.gov.ae/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "0% personal income tax" }, { "level": "mid", "gross": 1246952.82, "taxable": 1246952.82, "tax": 0, "effective_rate": 0, "net_annual": 1246952.82, "net_monthly": 103912.735, "method": "progressive", "top_rate": null, "standard_deduction": 0, "rebate": 0, "source": "UAE Ministry of Finance", "source_url": "https://mof.gov.ae/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "0% personal income tax" }, { "level": "senior", "gross": 1987054.48, "taxable": 1987054.48, "tax": 0, "effective_rate": 0, "net_annual": 1987054.48, "net_monthly": 165587.87333333332, "method": "progressive", "top_rate": null, "standard_deduction": 0, "rebate": 0, "source": "UAE Ministry of Finance", "source_url": "https://mof.gov.ae/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "0% personal income tax" }, { "level": "executive", "gross": 2446412.95, "taxable": 2446412.95, "tax": 0, "effective_rate": 0, "net_annual": 2446412.95, "net_monthly": 203867.74583333335, "method": "progressive", "top_rate": null, "standard_deduction": 0, "rebate": 0, "source": "UAE Ministry of Finance", "source_url": "https://mof.gov.ae/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "0% personal income tax" } ] }, "outlook": { "direction": "growing", "inflation_pct": 2.1, "real_growth_pct": 14.9, "forecasts": [ { "year": 2027, "scenario": "base", "p25": 1365562.97, "p50": 1458934.8, "p75": 1552306.63, "confidence": 52, "drivers": [ { "name": "Inflation (CPI)", "note": "2.1% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "4.0% 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 62/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "14.9% after 2.1% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "17.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2027, "scenario": "conservative", "p25": 1348055.75, "p50": 1440230.51, "p75": 1532405.26, "confidence": 52, "drivers": [ { "name": "Inflation (CPI)", "note": "2.1% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "4.0% 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 62/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "14.9% after 2.1% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "17.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2027, "scenario": "optimistic", "p25": 1383070.19, "p50": 1477639.09, "p75": 1572207.99, "confidence": 52, "drivers": [ { "name": "Inflation (CPI)", "note": "2.1% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "4.0% 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 62/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "14.9% after 2.1% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "17.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "base", "p25": 1853342.07, "p50": 1997135.85, "p75": 2140929.63, "confidence": 40, "drivers": [ { "name": "Inflation (CPI)", "note": "2.1% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "4.0% 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 62/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "14.9% after 2.1% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "17.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "conservative", "p25": 1782969.65, "p50": 1921303.5, "p75": 2059637.35, "confidence": 40, "drivers": [ { "name": "Inflation (CPI)", "note": "2.1% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "4.0% 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 62/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "14.9% after 2.1% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "17.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "optimistic", "p25": 1925542.24, "p50": 2074937.75, "p75": 2224333.27, "confidence": 40, "drivers": [ { "name": "Inflation (CPI)", "note": "2.1% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "4.0% 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 62/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "14.9% after 2.1% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "17.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "base", "p25": 2515168.92, "p50": 2733879.26, "p75": 2952589.6, "confidence": 30, "drivers": [ { "name": "Inflation (CPI)", "note": "2.1% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "4.0% 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 62/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "14.9% after 2.1% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "17.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "conservative", "p25": 2358021.55, "p50": 2563066.9, "p75": 2768112.26, "confidence": 30, "drivers": [ { "name": "Inflation (CPI)", "note": "2.1% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "4.0% 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 62/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "14.9% after 2.1% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "17.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "optimistic", "p25": 2680585.11, "p50": 2913679.47, "p75": 3146773.82, "confidence": 30, "drivers": [ { "name": "Inflation (CPI)", "note": "2.1% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "4.0% 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 62/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "14.9% after 2.1% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "17.0% modelled nominal growth", "weight": "high", "direction": "up" } ] } ] }, "skills": [], "sources": [ { "name": "Iran", "url": null, "type": "nearest_donor", "tier": "derived" }, { "name": "Belgium", "url": null, "type": "nearest_donor", "tier": "derived" } ], "faqs": [ { "question": "What is the average salary of a Machine Learning Engineer in United Arab Emirates?", "answer": "SpotSalary models a median annual salary of AED 1.2M for a Machine Learning Engineer in United Arab Emirates, or about AED 103,913 per month before tax. The middle 50% of the estimate ranges from AED 908.8K to AED 1.6M, with a full P10–P90 range of AED 671.6K to AED 1.8M. This is a modelled estimate, not a job offer." }, { "question": "How much does an entry-level Machine Learning Engineer earn in United Arab Emirates?", "answer": "The entry-level band for a Machine Learning Engineer in United Arab Emirates centres on AED 600.3K per year (P25–P75: AED 507.4K–AED 681.9K). 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 United Arab Emirates?", "answer": "The executive band for a Machine Learning Engineer in United Arab Emirates has a median of AED 2.4M per year and a P75 of AED 2.8M. 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 United Arab Emirates?", "answer": "The outlook is growing. In the base scenario, median pay reaches AED 2.7M by 2031, about 119.2% above today before inflation and 14.9% per year in real terms after 2.1% inflation. Scenario bands widen over time and are not guarantees." }, { "question": "What is the take-home pay for a Machine Learning Engineer in United Arab Emirates?", "answer": "After an effective income tax rate of 0.0%, the mid-level Machine Learning Engineer in United Arab Emirates takes home about AED 1,246,953 per year, or AED 103,913 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 15 salary observations." } ], "related": { "occupation_locations": [ { "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 Pristina, Kosovo", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/pristina-xk-1901760068" }, { "headline": "Machine Learning Engineer Salary in Belgium", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/belgium-be" }, { "headline": "Machine Learning Engineer Salary in Mexico", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/mexico-mx" }, { "headline": "Machine Learning Engineer Salary in Iceland", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/iceland-is" }, { "headline": "Machine Learning Engineer Salary in Iran", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/iran-ir" }, { "headline": "Machine Learning Engineer Salary in Cuba", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/cuba-cu" }, { "headline": "Machine Learning Engineer Salary in Guinea", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/guinea-gn" }, { "headline": "Machine Learning Engineer Salary in Indonesia", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/indonesia-id" }, { "headline": "Machine Learning Engineer Salary in Australia", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/australia-au" }, { "headline": "Machine Learning Engineer Salary in New Zealand", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/new-zealand-nz" }, { "headline": "Machine Learning Engineer Salary in Malaysia", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/malaysia-my" } ], "occupation_hub": "https://www.spotsalary.com/occupations/machine-learning-engineer", "location_hub": "https://www.spotsalary.com/locations/united-arab-emirates-ae", "all_salaries": "https://www.spotsalary.com/salaries" }, "citation": { "plain": "Machine Learning Engineer Salary in United Arab Emirates. SpotSalary. https://www.spotsalary.com/salary/machine-learning-engineer/united-arab-emirates-ae", "updated_at": "2026-11-01T11:14:14+00:00" } }