Search salaries Machine Learning Engineer · Saudi Arabia Change
Country · SAR · 2026Machine Learning Engineer Salary in Saudi Arabia
Your earning potential as a Machine Learning Engineer in Saudi Arabia
In Saudi Arabia, pay for this role varies with experience, company and the responsibilities you take on.
Estimated mid-level pay centres around SAR 1.1M a year — about SAR 88,874 a month before tax.
The benchmark spans SAR 438.3K at entry level to SAR 2.4M at executive level annually. Compare the experience breakdown below with roles similar to yours.
Market outlook: Growing (estimate). There is limited evidence to explain the outlook for this role in this location. Local outlook evidence is limited; this estimate is a guide to potential demand, rather than a prediction of hiring or pay growth. Your next step will also depend on the skills and responsibilities required by the roles you pursue.
Mid-level equivalent: ≈ $284,396/year ($23,700/month) at 3.75 SAR/USD.
2026 estimates · Local data was too thin for a direct benchmark. Estimated from nearby markets, adjusted for cost of living and income levels.
Salary by experience level
| Level | Experience | P25 | Median | P75 | P10 – P90 |
|---|---|---|---|---|---|
| entry | 0–2 yrs | SAR 438.3K |
SAR 519.2K
≈ $138,453
|
SAR 588.3K | SAR 371.9K – SAR 672.6K |
| mid | 3–5 yrs | SAR 779.6K |
SAR 1.1M
≈ $284,396
|
SAR 1.4M | SAR 581.1K – SAR 1.5M |
| senior | 6–9 yrs | SAR 1.4M |
SAR 1.7M
≈ $449,794
|
SAR 1.9M | SAR 1.2M – SAR 2.3M |
| executive | 10–15 yrs | SAR 1.8M |
SAR 2.1M
≈ $557,866
|
SAR 2.4M | SAR 1.5M – SAR 2.8M |
Five-year salary trend
What moves this number
What lands in your account
| Level | Gross | Tax | Effective | Net annual | Net monthly |
|---|---|---|---|---|---|
| entry | SAR 519.2K | Not enough bracket data for a take-home estimate | |||
| mid | SAR 1.1M | Not enough bracket data for a take-home estimate | |||
| senior | SAR 1.7M | Not enough bracket data for a take-home estimate | |||
| executive | SAR 2.1M | Not enough bracket data for a take-home estimate | |||
Only the top marginal rate (0.0%) is known. It is not applied flat, because that would overstate tax at lower incomes. Add verified brackets to enable a take-home estimate. Social contributions and local levies are not included.
What renting costs in Saudi Arabia
Rent varies by city. Choose a city to compare housing costs.
What to ask for
Based on market data for Machine Learning Engineer in Saudi Arabia, the median is SAR 1.1M and the 75th percentile is SAR 1.4M. I am targeting SAR 1.4M, which reflects my experience and the scope of the role.
Also negotiable sign-on bonus, equity, remote or hybrid flexibility, learning budget and additional leave
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Machine Learning Engineer salary in Saudi Arabia — FAQ
What is the average salary of a Machine Learning Engineer in Saudi Arabia?
SpotSalary models a median annual salary of SAR 1.1M for a Machine Learning Engineer in Saudi Arabia, or about SAR 88,874 per month before tax. The middle 50% of the estimate ranges from SAR 779.6K to SAR 1.4M, with a full P10–P90 range of SAR 581.1K to SAR 1.5M. This is a modelled estimate, not a job offer.
How much does an entry-level Machine Learning Engineer earn in Saudi Arabia?
The entry-level band for a Machine Learning Engineer in Saudi Arabia centres on SAR 519.2K per year (P25–P75: SAR 438.3K–SAR 588.3K). Entry-level pay typically covers the first 2 years of experience and depends on company size, skills and responsibilities.
How much does a senior or executive Machine Learning Engineer earn in Saudi Arabia?
The executive band for a Machine Learning Engineer in Saudi Arabia has a median of SAR 2.1M per year and a P75 of SAR 2.4M. Senior and executive packages often include a larger bonus and equity component; this benchmark shows the total-compensation split for each level.
What is the salary outlook for a Machine Learning Engineer in Saudi Arabia?
The outlook is growing. In the base scenario, median pay reaches SAR 2.2M by 2031, about 105.5% above today before inflation and 13.5% per year in real terms after 2.0% inflation. Scenario bands widen over time and are not guarantees.
How does SpotSalary calculate these salary estimates?
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 58% confidence and draws on 15 salary observations.
What this benchmark is built on
SpotSalary anchors each estimate to external market signals, then synthesises the gap with AI. Deterministic validation rejects implausible outputs. Source names and data tiers are listed here; the full methodology is on the method page.
Estimated from 2 nearby markets, adjusted for cost of living.
Based on 15 salary observations.
- Iran · derived data
- Belgium · derived data
What should you ask for?
Add your experience, current salary and skills to get a personal market value, your percentile, and a gap analysis — tracked over time.
Open the analyzerBenchmarks are constrained by market signals and validated for plausibility. Forecasts use inflation, wage growth, demand and automation, with scenario bands that widen over time.
Read how the estimate is built or download this report as Markdown / JSON.