{
    "url": "https://www.spotsalary.com/salary/machine-learning-engineer/egypt-eg",
    "canonical": "https://www.spotsalary.com/salary/machine-learning-engineer/egypt-eg",
    "headline": "Machine Learning Engineer Salary in Egypt",
    "description": "Median Machine Learning Engineer salary in Egypt is E£3.6M 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": "Egypt",
        "slug": "egypt-eg",
        "type": "country",
        "iso2": "EG",
        "currency": "EGP"
    },
    "period": 2026,
    "confidence": 68,
    "status": "published",
    "method": "nearest_neighbor",
    "updated_at": "2026-10-30T11:15:54+00:00",
    "salary_bands": [
        {
            "level": "entry",
            "years_experience": [
                0,
                2
            ],
            "p10": 1418282.91,
            "p25": 1675631.31,
            "p50": 1983613.73,
            "p75": 2250448.56,
            "p90": 2578648.3,
            "base_share": 95,
            "bonus_share": 5,
            "equity_share": 0
        },
        {
            "level": "mid",
            "years_experience": [
                3,
                5
            ],
            "p10": 1998469.96,
            "p25": 2602932.5,
            "p50": 3649471.91,
            "p75": 4686670.81,
            "p90": 5704202.1,
            "base_share": 88,
            "bonus_share": 8,
            "equity_share": 4
        },
        {
            "level": "senior",
            "years_experience": [
                6,
                9
            ],
            "p10": 3967614.6,
            "p25": 4817817.85,
            "p50": 5668021.18,
            "p75": 6518224.37,
            "p90": 7651828.42,
            "base_share": 80,
            "bonus_share": 10,
            "equity_share": 10
        },
        {
            "level": "executive",
            "years_experience": [
                10,
                15
            ],
            "p10": 5626868.71,
            "p25": 6832626.29,
            "p50": 8038383.79,
            "p75": 9244141.36,
            "p90": 10851818.12,
            "base_share": 65,
            "bonus_share": 15,
            "equity_share": 20
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    ],
    "take_home": {
        "currency": "EGP",
        "tax_rate": 25.986082332936768,
        "top_rate": null,
        "method": "progressive",
        "label": "progressive brackets",
        "standard_deduction": 0,
        "rebate": 0,
        "source": "PwC Worldwide Tax Summaries",
        "source_url": "https://taxsummaries.pwc.com/egypt/individual/taxes-on-personal-income",
        "retrieved_at": "2026-10-23T00:00:00.000000Z",
        "verified": true,
        "notes": "earned income brackets",
        "bands": [
            {
                "level": "entry",
                "gross": 1983613.73,
                "taxable": 1983613.73,
                "tax": 490243.77575000003,
                "effective_rate": 24.71467949306844,
                "net_annual": 1493369.95425,
                "net_monthly": 124447.4961875,
                "method": "progressive",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/egypt/individual/taxes-on-personal-income",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "earned income brackets"
            },
            {
                "level": "mid",
                "gross": 3649471.91,
                "taxable": 3649471.91,
                "tax": 948354.7752500001,
                "effective_rate": 25.986082332936768,
                "net_annual": 2701117.13475,
                "net_monthly": 225093.09456250002,
                "method": "progressive",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/egypt/individual/taxes-on-personal-income",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "earned income brackets"
            },
            {
                "level": "senior",
                "gross": 5668021.18,
                "taxable": 5668021.18,
                "tax": 1503455.8245,
                "effective_rate": 26.52523300027612,
                "net_annual": 4164565.3554999996,
                "net_monthly": 347047.1129583333,
                "method": "progressive",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/egypt/individual/taxes-on-personal-income",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "earned income brackets"
            },
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                "level": "executive",
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                "tax": 2155305.54225,
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                "net_annual": 5883078.24775,
                "net_monthly": 490256.52064583334,
                "method": "progressive",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/egypt/individual/taxes-on-personal-income",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "earned income brackets"
            }
        ]
    },
    "outlook": {
        "direction": "growing",
        "inflation_pct": 6,
        "real_growth_pct": 11,
        "forecasts": [
            {
                "year": 2027,
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                "p25": 3996609.68,
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                        "name": "Inflation (CPI)",
                        "note": "6.0% annual price growth",
                        "weight": "high",
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                    },
                    {
                        "name": "Wage growth",
                        "note": "7.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Hiring demand",
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                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "11.0% after 6.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "17.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
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            {
                "year": 2027,
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                "p25": 3945371.09,
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                    {
                        "name": "Inflation (CPI)",
                        "note": "6.0% annual price growth",
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                    {
                        "name": "Wage growth",
                        "note": "7.0% nominal wage trend",
                        "weight": "high",
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                    },
                    {
                        "name": "Role demand trend",
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                    {
                        "name": "Hiring demand",
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                        "name": "Automation exposure",
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                    {
                        "name": "Real wage growth",
                        "note": "11.0% after 6.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "17.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
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            {
                "year": 2027,
                "scenario": "optimistic",
                "p25": 4047848.26,
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                "drivers": [
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                        "name": "Inflation (CPI)",
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                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Wage growth",
                        "note": "7.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
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                    {
                        "name": "Hiring demand",
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                        "weight": "medium",
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                    {
                        "name": "Automation exposure",
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                    {
                        "name": "Real wage growth",
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                        "direction": "up"
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                    {
                        "name": "Scenario growth",
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                        "direction": "up"
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                "year": 2029,
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                        "name": "Inflation (CPI)",
                        "note": "6.0% annual price growth",
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                    {
                        "name": "Wage growth",
                        "note": "7.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
                        "weight": "high",
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                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
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                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "11.0% after 6.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "17.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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            {
                "year": 2029,
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                "p50": 5623102.21,
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                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "6.0% annual price growth",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Wage growth",
                        "note": "7.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
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                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "11.0% after 6.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "17.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
            },
            {
                "year": 2029,
                "scenario": "optimistic",
                "p25": 5635507.76,
                "p50": 6072745.44,
                "p75": 6509983.11,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "6.0% annual price growth",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Wage growth",
                        "note": "7.0% 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 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "11.0% after 6.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "17.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
            },
            {
                "year": 2031,
                "scenario": "base",
                "p25": 7361175.32,
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                "p75": 8641379.72,
                "confidence": 38,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "6.0% annual price growth",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Wage growth",
                        "note": "7.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
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                    {
                        "name": "Hiring demand",
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                        "direction": "steady"
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                    {
                        "name": "Automation exposure",
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                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "11.0% after 6.0% inflation",
                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Scenario growth",
                        "note": "17.0% modelled nominal growth",
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                "year": 2031,
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                "drivers": [
                    {
                        "name": "Inflation (CPI)",
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                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Wage growth",
                        "note": "7.0% nominal wage trend",
                        "weight": "high",
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                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
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                    {
                        "name": "Hiring demand",
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                        "name": "Real wage growth",
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                        "weight": "high",
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                    {
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            {
                "year": 2031,
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                "p75": 9209701.04,
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                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "6.0% annual price growth",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Wage growth",
                        "note": "7.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
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                    {
                        "name": "Hiring demand",
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                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "11.0% after 6.0% 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"
        },
        {
            "name": "Guinea",
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            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Iceland",
            "url": null,
            "type": "nearest_donor",
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    ],
    "faqs": [
        {
            "question": "What is the average salary of a Machine Learning Engineer in Egypt?",
            "answer": "SpotSalary models a median annual salary of E£3.6M for a Machine Learning Engineer in Egypt, or about E£304,123 per month before tax. The middle 50% of the estimate ranges from E£2.6M to E£4.7M, with a full P10–P90 range of E£2M to E£5.7M. This is a modelled estimate, not a job offer."
        },
        {
            "question": "How much does an entry-level Machine Learning Engineer earn in Egypt?",
            "answer": "The entry-level band for a Machine Learning Engineer in Egypt centres on E£2M per year (P25–P75: E£1.7M–E£2.3M). 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 Egypt?",
            "answer": "The executive band for a Machine Learning Engineer in Egypt has a median of E£8M per year and a P75 of E£9.2M. 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 Egypt?",
            "answer": "The outlook is growing. In the base scenario, median pay reaches E£8M by 2031, about 119.2% above today before inflation and 11.0% per year in real terms after 6.0% inflation. Scenario bands widen over time and are not guarantees."
        },
        {
            "question": "What is the take-home pay for a Machine Learning Engineer in Egypt?",
            "answer": "After an effective income tax rate of 26.0%, the mid-level Machine Learning Engineer in Egypt takes home about E£2,701,117 per year, or E£225,093 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 68% confidence and draws on 28 salary observations."
        }
    ],
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        ],
        "occupation_hub": "https://www.spotsalary.com/occupations/machine-learning-engineer",
        "location_hub": "https://www.spotsalary.com/locations/egypt-eg",
        "all_salaries": "https://www.spotsalary.com/salaries"
    },
    "citation": {
        "plain": "Machine Learning Engineer Salary in Egypt. SpotSalary. https://www.spotsalary.com/salary/machine-learning-engineer/egypt-eg",
        "updated_at": "2026-10-30T11:15:54+00:00"
    }
}