{
    "url": "https://www.spotsalary.com/salary/machine-learning-engineer/kuala-lumpur-my-1458988644",
    "canonical": "https://www.spotsalary.com/salary/machine-learning-engineer/kuala-lumpur-my-1458988644",
    "headline": "Machine Learning Engineer Salary in Kuala Lumpur, Malaysia",
    "description": "Median Machine Learning Engineer salary in Kuala Lumpur, Malaysia is RM138.4K 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"
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        "description": null
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    "location": {
        "name": "Kuala Lumpur, Malaysia",
        "slug": "kuala-lumpur-my-1458988644",
        "type": "city",
        "iso2": "MY",
        "currency": "MYR"
    },
    "period": 2026,
    "confidence": 85,
    "status": "published",
    "method": "model",
    "updated_at": "2026-10-30T02:59:17+00:00",
    "salary_bands": [
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            "level": "entry",
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                0,
                2
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            "p10": 57819.22,
            "p25": 71952.81,
            "p50": 89941.01,
            "p75": 104331.57,
            "p90": 124889.51,
            "base_share": 95,
            "bonus_share": 5,
            "equity_share": 0
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        {
            "level": "mid",
            "years_experience": [
                3,
                5
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            "p10": 88952.65,
            "p25": 110696.63,
            "p50": 138370.78,
            "p75": 160510.11,
            "p90": 192137.71,
            "base_share": 88,
            "bonus_share": 8,
            "equity_share": 4
        },
        {
            "level": "senior",
            "years_experience": [
                6,
                9
            ],
            "p10": 146771.86,
            "p25": 182649.43,
            "p50": 228311.79,
            "p75": 264841.68,
            "p90": 317027.23,
            "base_share": 80,
            "bonus_share": 10,
            "equity_share": 10
        },
        {
            "level": "executive",
            "years_experience": [
                10,
                15
            ],
            "p10": 249067.41,
            "p25": 309950.55,
            "p50": 387438.19,
            "p75": 449428.3,
            "p90": 537985.6,
            "base_share": 65,
            "bonus_share": 15,
            "equity_share": 20
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    ],
    "take_home": {
        "currency": "MYR",
        "tax_rate": 13.725943439792706,
        "top_rate": null,
        "method": "progressive",
        "label": "progressive brackets",
        "standard_deduction": 0,
        "rebate": 0,
        "source": "PwC Worldwide Tax Summaries",
        "source_url": "https://taxsummaries.pwc.com/malaysia/individual/taxes-on-personal-income",
        "retrieved_at": "2026-10-23T00:00:00.000000Z",
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        "notes": "resident; excludes personal reliefs and rebates",
        "bands": [
            {
                "level": "entry",
                "gross": 89941.01,
                "taxable": 89941.01,
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                "effective_rate": 8.32633734044125,
                "net_annual": 82452.2181,
                "net_monthly": 6871.018175,
                "method": "progressive",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/malaysia/individual/taxes-on-personal-income",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "resident; excludes personal reliefs and rebates"
            },
            {
                "level": "mid",
                "gross": 138370.78,
                "taxable": 138370.78,
                "tax": 18992.695,
                "effective_rate": 13.725943439792706,
                "net_annual": 119378.08499999999,
                "net_monthly": 9948.17375,
                "method": "progressive",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/malaysia/individual/taxes-on-personal-income",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "resident; excludes personal reliefs and rebates"
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            {
                "level": "senior",
                "gross": 228311.79,
                "taxable": 228311.79,
                "tax": 41477.9475,
                "effective_rate": 18.1672385381412,
                "net_annual": 186833.8425,
                "net_monthly": 15569.486875,
                "method": "progressive",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/malaysia/individual/taxes-on-personal-income",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "resident; excludes personal reliefs and rebates"
            },
            {
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                "tax": 81259.5475,
                "effective_rate": 20.973551290852356,
                "net_annual": 306178.6425,
                "net_monthly": 25514.886875,
                "method": "progressive",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/malaysia/individual/taxes-on-personal-income",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
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                "notes": "resident; excludes personal reliefs and rebates"
            }
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    "outlook": {
        "direction": "growing",
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        "real_growth_pct": 12.65,
        "forecasts": [
            {
                "year": 2027,
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                "p25": 149266.1,
                "p50": 159472.32,
                "p75": 169678.55,
                "confidence": 79,
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                        "name": "Inflation (CPI)",
                        "note": "2.6% 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 55/100",
                        "weight": "medium",
                        "direction": "up"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
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                    {
                        "name": "Real wage growth",
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                    {
                        "name": "Scenario growth",
                        "note": "15.3% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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            {
                "year": 2027,
                "scenario": "conservative",
                "p25": 147323.37,
                "p50": 157396.76,
                "p75": 167470.16,
                "confidence": 79,
                "drivers": [
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                        "name": "Inflation (CPI)",
                        "note": "2.6% annual price growth",
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                        "name": "Wage growth",
                        "note": "4.0% nominal wage trend",
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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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                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
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                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Scenario growth",
                        "note": "15.3% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
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            {
                "year": 2027,
                "scenario": "optimistic",
                "p25": 151208.82,
                "p50": 161547.89,
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                "confidence": 79,
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                        "name": "Inflation (CPI)",
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                        "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",
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                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 55/100",
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                        "direction": "up"
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                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
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                    },
                    {
                        "name": "Real wage growth",
                        "note": "12.7% after 2.6% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
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                        "weight": "high",
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            {
                "year": 2029,
                "scenario": "base",
                "p25": 196569.06,
                "p50": 211820.11,
                "p75": 227071.16,
                "confidence": 67,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.6% 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 55/100",
                        "weight": "medium",
                        "direction": "up"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "12.7% after 2.6% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "15.3% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
            },
            {
                "year": 2029,
                "scenario": "conservative",
                "p25": 188993.38,
                "p50": 203656.65,
                "p75": 218319.93,
                "confidence": 67,
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                    {
                        "name": "Inflation (CPI)",
                        "note": "2.6% 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 55/100",
                        "weight": "medium",
                        "direction": "up"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "12.7% after 2.6% inflation",
                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Scenario growth",
                        "note": "15.3% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
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            {
                "year": 2029,
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                "p25": 204344.54,
                "p50": 220198.86,
                "p75": 236053.17,
                "confidence": 67,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.6% 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 55/100",
                        "weight": "medium",
                        "direction": "up"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "12.7% after 2.6% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "15.3% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
            },
            {
                "year": 2031,
                "scenario": "base",
                "p25": 258843.28,
                "p50": 281351.39,
                "p75": 303859.5,
                "confidence": 55,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.6% 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 55/100",
                        "weight": "medium",
                        "direction": "up"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "12.7% after 2.6% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "15.3% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
            },
            {
                "year": 2031,
                "scenario": "conservative",
                "p25": 242431.61,
                "p50": 263512.62,
                "p75": 284593.63,
                "confidence": 55,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.6% 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"
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                    {
                        "name": "Hiring demand",
                        "note": "Demand index 55/100",
                        "weight": "medium",
                        "direction": "up"
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                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
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                        "direction": "steady"
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                    {
                        "name": "Real wage growth",
                        "note": "12.7% after 2.6% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "15.3% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
            },
            {
                "year": 2031,
                "scenario": "optimistic",
                "p25": 276131.95,
                "p50": 300143.43,
                "p75": 324154.9,
                "confidence": 55,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.6% 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 55/100",
                        "weight": "medium",
                        "direction": "up"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "12.7% after 2.6% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "15.3% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            }
        ]
    },
    "skills": [],
    "sources": [
        {
            "name": "Numbeo / OECD composite (US=100)",
            "url": null,
            "type": "market_signal",
            "tier": "derived"
        },
        {
            "name": "Open exchange rates (2026)",
            "url": null,
            "type": "market_signal",
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        {
            "name": "World Bank / IMF (2026 est.)",
            "url": null,
            "type": "market_signal",
            "tier": "official"
        },
        {
            "name": "OECD / national tax tables",
            "url": null,
            "type": "market_signal",
            "tier": "derived"
        },
        {
            "name": "ILO modelled estimates (2026)",
            "url": null,
            "type": "market_signal",
            "tier": "official"
        },
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            "url": null,
            "type": "deterministic_model",
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    ],
    "faqs": [
        {
            "question": "What is the average salary of a Machine Learning Engineer in Kuala Lumpur, Malaysia?",
            "answer": "SpotSalary models a median annual salary of RM138.4K for a Machine Learning Engineer in Kuala Lumpur, Malaysia, or about RM11,531 per month before tax. The middle 50% of the estimate ranges from RM110.7K to RM160.5K, with a full P10–P90 range of RM89K to RM192.1K. This is a modelled estimate, not a job offer."
        },
        {
            "question": "How much does an entry-level Machine Learning Engineer earn in Kuala Lumpur, Malaysia?",
            "answer": "The entry-level band for a Machine Learning Engineer in Kuala Lumpur, Malaysia centres on RM89.9K per year (P25–P75: RM72K–RM104.3K). 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 Kuala Lumpur, Malaysia?",
            "answer": "The executive band for a Machine Learning Engineer in Kuala Lumpur, Malaysia has a median of RM387.4K per year and a P75 of RM449.4K. 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 Kuala Lumpur, Malaysia?",
            "answer": "The outlook is growing. In the base scenario, median pay reaches RM281.4K by 2031, about 103.3% above today before inflation and 12.7% per year in real terms after 2.6% inflation. Scenario bands widen over time and are not guarantees."
        },
        {
            "question": "What is the take-home pay for a Machine Learning Engineer in Kuala Lumpur, Malaysia?",
            "answer": "After an effective income tax rate of 13.7%, the mid-level Machine Learning Engineer in Kuala Lumpur, Malaysia takes home about RM119,378 per year, or RM9,948 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 85% confidence."
        }
    ],
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        ],
        "occupation_hub": "https://www.spotsalary.com/occupations/machine-learning-engineer",
        "location_hub": "https://www.spotsalary.com/locations/kuala-lumpur-my-1458988644",
        "all_salaries": "https://www.spotsalary.com/salaries"
    },
    "citation": {
        "plain": "Machine Learning Engineer Salary in Kuala Lumpur, Malaysia. SpotSalary. https://www.spotsalary.com/salary/machine-learning-engineer/kuala-lumpur-my-1458988644",
        "updated_at": "2026-10-30T02:59:17+00:00"
    }
}