{
    "url": "https://www.spotsalary.com/salary/machine-learning-engineer/canada-ca",
    "canonical": "https://www.spotsalary.com/salary/machine-learning-engineer/canada-ca",
    "headline": "Machine Learning Engineer Salary in Canada",
    "description": "Median Machine Learning Engineer salary in Canada is C$78.1K 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": "Canada",
        "slug": "canada-ca",
        "type": "country",
        "iso2": "CA",
        "currency": "CAD"
    },
    "period": 2026,
    "confidence": 80,
    "status": "published",
    "method": "model",
    "updated_at": "2026-10-29T19:50:01+00:00",
    "salary_bands": [
        {
            "level": "entry",
            "years_experience": [
                0,
                2
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            "p10": 32618.61,
            "p25": 40592.04,
            "p50": 50740.05,
            "p75": 58858.46,
            "p90": 70456.19,
            "base_share": 95,
            "bonus_share": 5,
            "equity_share": 0
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        {
            "level": "mid",
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                3,
                5
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            "p10": 50182.47,
            "p25": 62449.3,
            "p50": 78061.62,
            "p75": 90551.48,
            "p90": 108394.14,
            "base_share": 88,
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            "equity_share": 4
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        {
            "level": "senior",
            "years_experience": [
                6,
                9
            ],
            "p10": 82801.08,
            "p25": 103041.34,
            "p50": 128801.67,
            "p75": 149409.94,
            "p90": 178850.32,
            "base_share": 80,
            "bonus_share": 10,
            "equity_share": 10
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        {
            "level": "executive",
            "years_experience": [
                10,
                15
            ],
            "p10": 140510.92,
            "p25": 174858.03,
            "p50": 218572.54,
            "p75": 253544.14,
            "p90": 303503.58,
            "base_share": 65,
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            "equity_share": 20
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        "currency": "CAD",
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        "method": "progressive",
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        "standard_deduction": 15705,
        "rebate": 0,
        "source": "CRA (federal)",
        "source_url": "https://www.canada.ca/en/revenue-agency/services/tax/individuals/federal-tax-rates.html",
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        "notes": "Provincial taxes excluded",
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                "level": "entry",
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                "verified": true,
                "notes": "Provincial taxes excluded"
            },
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                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "Provincial taxes excluded"
            },
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                "level": "senior",
                "gross": 128801.67,
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                "level": "executive",
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                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "Provincial taxes excluded"
            }
        ]
    },
    "outlook": {
        "direction": "growing",
        "inflation_pct": 2.5,
        "real_growth_pct": 11.7,
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            {
                "year": 2027,
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                "p25": 83441,
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                        "name": "Inflation (CPI)",
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                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.2% 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 54/100",
                        "weight": "medium",
                        "direction": "steady"
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                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
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                    {
                        "name": "Real wage growth",
                        "note": "11.7% after 2.5% inflation",
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                    {
                        "name": "Scenario growth",
                        "note": "14.2% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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            {
                "year": 2027,
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                "p25": 82345.02,
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                    {
                        "name": "Inflation (CPI)",
                        "note": "2.5% annual price growth",
                        "weight": "high",
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                    {
                        "name": "Wage growth",
                        "note": "3.2% 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 54/100",
                        "weight": "medium",
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                    {
                        "name": "Automation exposure",
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                    {
                        "name": "Real wage growth",
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                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "14.2% modelled nominal growth",
                        "weight": "high",
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            {
                "year": 2027,
                "scenario": "optimistic",
                "p25": 84536.99,
                "p50": 90317.29,
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                "confidence": 74,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.5% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.2% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
                        "weight": "high",
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                    {
                        "name": "Hiring demand",
                        "note": "Demand index 54/100",
                        "weight": "medium",
                        "direction": "steady"
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                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "11.7% after 2.5% inflation",
                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Scenario growth",
                        "note": "14.2% modelled nominal growth",
                        "weight": "high",
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            {
                "year": 2029,
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                "p25": 107890.66,
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                "confidence": 62,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.5% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.2% 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 54/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "11.7% after 2.5% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "14.2% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2029,
                "scenario": "conservative",
                "p25": 103694.87,
                "p50": 111740.16,
                "p75": 119785.46,
                "confidence": 62,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.5% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.2% 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 54/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "11.7% after 2.5% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "14.2% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2029,
                "scenario": "optimistic",
                "p25": 112198.13,
                "p50": 120903.16,
                "p75": 129608.18,
                "confidence": 62,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.5% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.2% 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 54/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "11.7% after 2.5% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "14.2% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "base",
                "p25": 139494.12,
                "p50": 151624.05,
                "p75": 163753.97,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.5% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.2% 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 54/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "11.7% after 2.5% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "14.2% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "conservative",
                "p25": 130570.47,
                "p50": 141924.42,
                "p75": 153278.38,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.5% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.2% 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 54/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "11.7% after 2.5% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "14.2% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "optimistic",
                "p25": 148899.14,
                "p50": 161846.89,
                "p75": 174794.64,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.5% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.2% 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 54/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "11.7% after 2.5% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "14.2% 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",
            "tier": "official"
        },
        {
            "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"
        },
        {
            "name": "SpotSalary deterministic wage model",
            "url": null,
            "type": "deterministic_model",
            "tier": "derived"
        }
    ],
    "faqs": [
        {
            "question": "What is the average salary of a Machine Learning Engineer in Canada?",
            "answer": "SpotSalary models a median annual salary of C$78.1K for a Machine Learning Engineer in Canada, or about C$6,505 per month before tax. The middle 50% of the estimate ranges from C$62.4K to C$90.6K, with a full P10–P90 range of C$50.2K to C$108.4K. This is a modelled estimate, not a job offer."
        },
        {
            "question": "How much does an entry-level Machine Learning Engineer earn in Canada?",
            "answer": "The entry-level band for a Machine Learning Engineer in Canada centres on C$50.7K per year (P25–P75: C$40.6K–C$58.9K). 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 Canada?",
            "answer": "The executive band for a Machine Learning Engineer in Canada has a median of C$218.6K per year and a P75 of C$253.5K. 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 Canada?",
            "answer": "The outlook is growing. In the base scenario, median pay reaches C$151.6K by 2031, about 94.2% above today before inflation and 11.7% per year in real terms after 2.5% inflation. Scenario bands widen over time and are not guarantees."
        },
        {
            "question": "What is the take-home pay for a Machine Learning Engineer in Canada?",
            "answer": "After an effective income tax rate of 12.3%, the mid-level Machine Learning Engineer in Canada takes home about C$68,434 per year, or C$5,703 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 80% confidence."
        }
    ],
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        "occupation_hub": "https://www.spotsalary.com/occupations/machine-learning-engineer",
        "location_hub": "https://www.spotsalary.com/locations/canada-ca",
        "all_salaries": "https://www.spotsalary.com/salaries"
    },
    "citation": {
        "plain": "Machine Learning Engineer Salary in Canada. SpotSalary. https://www.spotsalary.com/salary/machine-learning-engineer/canada-ca",
        "updated_at": "2026-10-29T19:50:01+00:00"
    }
}