{
    "url": "https://www.spotsalary.com/salary/machine-learning-engineer/lithuania-lt",
    "canonical": "https://www.spotsalary.com/salary/machine-learning-engineer/lithuania-lt",
    "headline": "Machine Learning Engineer Salary in Lithuania",
    "description": "Median Machine Learning Engineer salary in Lithuania is $152.1K 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": "Lithuania",
        "slug": "lithuania-lt",
        "type": "country",
        "iso2": "LT",
        "currency": "USD"
    },
    "period": 2026,
    "confidence": 68,
    "status": "published",
    "method": "nearest_neighbor",
    "updated_at": "2026-10-30T21:12:40+00:00",
    "salary_bands": [
        {
            "level": "entry",
            "years_experience": [
                0,
                2
            ],
            "p10": 63471.72,
            "p25": 74060.45,
            "p50": 87924.46,
            "p75": 99126.82,
            "p90": 112279.28,
            "base_share": 95,
            "bonus_share": 5,
            "equity_share": 0
        },
        {
            "level": "mid",
            "years_experience": [
                3,
                5
            ],
            "p10": 85725.65,
            "p25": 107890.51,
            "p50": 152077.95,
            "p75": 200467.98,
            "p90": 234461.1,
            "base_share": 88,
            "bonus_share": 8,
            "equity_share": 4
        },
        {
            "level": "senior",
            "years_experience": [
                6,
                9
            ],
            "p10": 159196.35,
            "p25": 193309.86,
            "p50": 227423.38,
            "p75": 261536.88,
            "p90": 307021.55,
            "base_share": 80,
            "bonus_share": 10,
            "equity_share": 10
        },
        {
            "level": "executive",
            "years_experience": [
                10,
                15
            ],
            "p10": 242195.79,
            "p25": 294094.89,
            "p50": 345993.98,
            "p75": 397893.08,
            "p90": 467091.87,
            "base_share": 65,
            "bonus_share": 15,
            "equity_share": 20
        }
    ],
    "take_home": {
        "currency": "USD",
        "tax_rate": null,
        "top_rate": 32,
        "method": "top_rate_only",
        "label": "top rate only",
        "standard_deduction": 0,
        "rebate": 0,
        "source": "PwC Worldwide Tax Summaries",
        "source_url": "https://taxsummaries.pwc.com/lithuania?topicTypeId=35fd5f5e-24ba-48d0-a39a-b76315a497dc",
        "retrieved_at": "2026-10-22T00:00:00.000000Z",
        "verified": true,
        "notes": "32 (see Lithuania's individual tax summary for rates for individual activity income and other non-employment-related income).",
        "bands": [
            {
                "level": "entry",
                "gross": 87924.46,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 32,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/lithuania?topicTypeId=35fd5f5e-24ba-48d0-a39a-b76315a497dc",
                "retrieved_at": "2026-10-22T00:00:00.000000Z",
                "verified": true,
                "notes": "32 (see Lithuania's individual tax summary for rates for individual activity income and other non-employment-related income)."
            },
            {
                "level": "mid",
                "gross": 152077.95,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 32,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/lithuania?topicTypeId=35fd5f5e-24ba-48d0-a39a-b76315a497dc",
                "retrieved_at": "2026-10-22T00:00:00.000000Z",
                "verified": true,
                "notes": "32 (see Lithuania's individual tax summary for rates for individual activity income and other non-employment-related income)."
            },
            {
                "level": "senior",
                "gross": 227423.38,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 32,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/lithuania?topicTypeId=35fd5f5e-24ba-48d0-a39a-b76315a497dc",
                "retrieved_at": "2026-10-22T00:00:00.000000Z",
                "verified": true,
                "notes": "32 (see Lithuania's individual tax summary for rates for individual activity income and other non-employment-related income)."
            },
            {
                "level": "executive",
                "gross": 345993.98,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 32,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/lithuania?topicTypeId=35fd5f5e-24ba-48d0-a39a-b76315a497dc",
                "retrieved_at": "2026-10-22T00:00:00.000000Z",
                "verified": true,
                "notes": "32 (see Lithuania's individual tax summary for rates for individual activity income and other non-employment-related income)."
            }
        ]
    },
    "outlook": {
        "direction": "growing",
        "inflation_pct": 3,
        "real_growth_pct": 10,
        "forecasts": [
            {
                "year": 2027,
                "scenario": "base",
                "p25": 160849.81,
                "p50": 171848.08,
                "p75": 182846.36,
                "confidence": 62,
                "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": 158714.63,
                "p50": 169566.91,
                "p75": 180419.2,
                "confidence": 62,
                "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": "optimistic",
                "p25": 162984.98,
                "p50": 174129.25,
                "p75": 185273.52,
                "confidence": 62,
                "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"
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                ]
            },
            {
                "year": 2029,
                "scenario": "base",
                "p25": 203633.65,
                "p50": 219432.82,
                "p75": 235231.98,
                "confidence": 50,
                "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": 195631.52,
                "p50": 210809.83,
                "p75": 225988.13,
                "confidence": 50,
                "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": 211851.08,
                "p50": 228287.8,
                "p75": 244724.53,
                "confidence": 50,
                "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": 257778.26,
                "p50": 280193.77,
                "p75": 302609.27,
                "confidence": 38,
                "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": "conservative",
                "p25": 241117.32,
                "p50": 262084.05,
                "p75": 283050.77,
                "confidence": 38,
                "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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                ]
            },
            {
                "year": 2031,
                "scenario": "optimistic",
                "p25": 275347.74,
                "p50": 299291.02,
                "p75": 323234.3,
                "confidence": 38,
                "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"
                    }
                ]
            }
        ]
    },
    "skills": [],
    "sources": [
        {
            "name": "Belgium",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Iceland",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Iran",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Saint Pierre and Miquelon",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        }
    ],
    "faqs": [
        {
            "question": "What is the average salary of a Machine Learning Engineer in Lithuania?",
            "answer": "SpotSalary models a median annual salary of $152.1K for a Machine Learning Engineer in Lithuania, or about $12,673 per month before tax. The middle 50% of the estimate ranges from $107.9K to $200.5K, with a full P10–P90 range of $85.7K to $234.5K. This is a modelled estimate, not a job offer."
        },
        {
            "question": "How much does an entry-level Machine Learning Engineer earn in Lithuania?",
            "answer": "The entry-level band for a Machine Learning Engineer in Lithuania centres on $87.9K per year (P25–P75: $74.1K–$99.1K). 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 Lithuania?",
            "answer": "The executive band for a Machine Learning Engineer in Lithuania has a median of $346K per year and a P75 of $397.9K. 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 Lithuania?",
            "answer": "The outlook is growing. In the base scenario, median pay reaches $280.2K 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 68% confidence and draws on 27 salary observations."
        }
    ],
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        ],
        "occupation_hub": "https://www.spotsalary.com/occupations/machine-learning-engineer",
        "location_hub": "https://www.spotsalary.com/locations/lithuania-lt",
        "all_salaries": "https://www.spotsalary.com/salaries"
    },
    "citation": {
        "plain": "Machine Learning Engineer Salary in Lithuania. SpotSalary. https://www.spotsalary.com/salary/machine-learning-engineer/lithuania-lt",
        "updated_at": "2026-10-30T21:12:40+00:00"
    }
}