{
    "url": "https://www.spotsalary.com/salary/machine-learning-engineer/sierra-leone-sl",
    "canonical": "https://www.spotsalary.com/salary/machine-learning-engineer/sierra-leone-sl",
    "headline": "Machine Learning Engineer Salary in Sierra Leone",
    "description": "Median Machine Learning Engineer salary in Sierra Leone is $113.6K 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": "Sierra Leone",
        "slug": "sierra-leone-sl",
        "type": "country",
        "iso2": "SL",
        "currency": "USD"
    },
    "period": 2026,
    "confidence": 66,
    "status": "published",
    "method": "nearest_neighbor",
    "updated_at": "2026-10-30T06:27:11+00:00",
    "salary_bands": [
        {
            "level": "entry",
            "years_experience": [
                0,
                2
            ],
            "p10": 52763,
            "p25": 62607.71,
            "p50": 74041.64,
            "p75": 84184.1,
            "p90": 96841.74,
            "base_share": 95,
            "bonus_share": 5,
            "equity_share": 0
        },
        {
            "level": "mid",
            "years_experience": [
                3,
                5
            ],
            "p10": 63201.85,
            "p25": 82912.6,
            "p50": 113598.59,
            "p75": 158867.81,
            "p90": 231314.56,
            "base_share": 88,
            "bonus_share": 8,
            "equity_share": 4
        },
        {
            "level": "senior",
            "years_experience": [
                6,
                9
            ],
            "p10": 125137.49,
            "p25": 151952.67,
            "p50": 178767.84,
            "p75": 205583.02,
            "p90": 241336.59,
            "base_share": 80,
            "bonus_share": 10,
            "equity_share": 10
        },
        {
            "level": "executive",
            "years_experience": [
                10,
                15
            ],
            "p10": 212137.87,
            "p25": 257595.99,
            "p50": 303054.11,
            "p75": 348512.22,
            "p90": 409123.04,
            "base_share": 65,
            "bonus_share": 15,
            "equity_share": 20
        }
    ],
    "take_home": {
        "currency": "USD",
        "tax_rate": null,
        "top_rate": 30,
        "method": "top_rate_only",
        "label": "top rate only",
        "standard_deduction": 0,
        "rebate": 0,
        "source": "Trading Economics",
        "source_url": "https://tradingeconomics.com/sierra-leone/personal-income-tax-rate",
        "retrieved_at": "2026-10-22T00:00:00.000000Z",
        "verified": false,
        "notes": "Headline personal income tax rate (Trading Economics)",
        "bands": [
            {
                "level": "entry",
                "gross": 74041.64,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 30,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "Trading Economics",
                "source_url": "https://tradingeconomics.com/sierra-leone/personal-income-tax-rate",
                "retrieved_at": "2026-10-22T00:00:00.000000Z",
                "verified": false,
                "notes": "Headline personal income tax rate (Trading Economics)"
            },
            {
                "level": "mid",
                "gross": 113598.59,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 30,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "Trading Economics",
                "source_url": "https://tradingeconomics.com/sierra-leone/personal-income-tax-rate",
                "retrieved_at": "2026-10-22T00:00:00.000000Z",
                "verified": false,
                "notes": "Headline personal income tax rate (Trading Economics)"
            },
            {
                "level": "senior",
                "gross": 178767.84,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 30,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "Trading Economics",
                "source_url": "https://tradingeconomics.com/sierra-leone/personal-income-tax-rate",
                "retrieved_at": "2026-10-22T00:00:00.000000Z",
                "verified": false,
                "notes": "Headline personal income tax rate (Trading Economics)"
            },
            {
                "level": "executive",
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                "effective_rate": null,
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                "method": "top_rate_only",
                "top_rate": 30,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "Trading Economics",
                "source_url": "https://tradingeconomics.com/sierra-leone/personal-income-tax-rate",
                "retrieved_at": "2026-10-22T00:00:00.000000Z",
                "verified": false,
                "notes": "Headline personal income tax rate (Trading Economics)"
            }
        ]
    },
    "outlook": {
        "direction": "growing",
        "inflation_pct": 3,
        "real_growth_pct": 10,
        "forecasts": [
            {
                "year": 2027,
                "scenario": "base",
                "p25": 120150.96,
                "p50": 128366.41,
                "p75": 136581.86,
                "confidence": 60,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2027,
                "scenario": "conservative",
                "p25": 118556.03,
                "p50": 126662.43,
                "p75": 134768.82,
                "confidence": 60,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
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                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
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                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
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                    },
                    {
                        "name": "Hiring demand",
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                    {
                        "name": "Automation exposure",
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                    {
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                    {
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                        "direction": "up"
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                ]
            },
            {
                "year": 2027,
                "scenario": "optimistic",
                "p25": 121745.88,
                "p50": 130070.39,
                "p75": 138394.89,
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                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
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                        "weight": "high",
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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": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
            },
            {
                "year": 2029,
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                "p25": 152109.47,
                "p50": 163911.06,
                "p75": 175712.66,
                "confidence": 48,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2029,
                "scenario": "conservative",
                "p25": 146132.06,
                "p50": 157469.9,
                "p75": 168807.73,
                "confidence": 48,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2029,
                "scenario": "optimistic",
                "p25": 158247.69,
                "p50": 170525.53,
                "p75": 182803.37,
                "confidence": 48,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "base",
                "p25": 192554.2,
                "p50": 209298.04,
                "p75": 226041.88,
                "confidence": 36,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
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                        "weight": "high",
                        "direction": "up"
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                ]
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            {
                "year": 2031,
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                "p50": 195770.51,
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                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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",
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                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
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                    },
                    {
                        "name": "Real wage growth",
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                    {
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                        "weight": "high",
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                ]
            },
            {
                "year": 2031,
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                "p50": 223563.23,
                "p75": 241448.29,
                "confidence": 36,
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                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
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                    {
                        "name": "Wage growth",
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                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
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                        "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": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            }
        ]
    },
    "skills": [],
    "sources": [
        {
            "name": "Guinea",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Belgium",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Saint Pierre and Miquelon",
            "url": null,
            "type": "nearest_donor",
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        }
    ],
    "faqs": [
        {
            "question": "What is the average salary of a Machine Learning Engineer in Sierra Leone?",
            "answer": "SpotSalary models a median annual salary of $113.6K for a Machine Learning Engineer in Sierra Leone, or about $9,467 per month before tax. The middle 50% of the estimate ranges from $82.9K to $158.9K, with a full P10–P90 range of $63.2K to $231.3K. This is a modelled estimate, not a job offer."
        },
        {
            "question": "How much does an entry-level Machine Learning Engineer earn in Sierra Leone?",
            "answer": "The entry-level band for a Machine Learning Engineer in Sierra Leone centres on $74K per year (P25–P75: $62.6K–$84.2K). 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 Sierra Leone?",
            "answer": "The executive band for a Machine Learning Engineer in Sierra Leone has a median of $303.1K per year and a P75 of $348.5K. 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 Sierra Leone?",
            "answer": "The outlook is growing. In the base scenario, median pay reaches $209.3K 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."
        },
        {
            "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 66% confidence and draws on 20 salary observations."
        }
    ],
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        ],
        "occupation_hub": "https://www.spotsalary.com/occupations/machine-learning-engineer",
        "location_hub": "https://www.spotsalary.com/locations/sierra-leone-sl",
        "all_salaries": "https://www.spotsalary.com/salaries"
    },
    "citation": {
        "plain": "Machine Learning Engineer Salary in Sierra Leone. SpotSalary. https://www.spotsalary.com/salary/machine-learning-engineer/sierra-leone-sl",
        "updated_at": "2026-10-30T06:27:11+00:00"
    }
}