Search salaries Machine Learning Engineer · Kenya Change
Country · KES · 2026Machine Learning Engineer Salary in Kenya
Your earning potential as a Machine Learning Engineer in Kenya
In Kenya, pay for this role varies with experience, company and the responsibilities you take on.
Estimated mid-level pay centres around KES 8M a year — about KES 663,156 a month before tax.
The benchmark spans KES 3.4M at entry level to KES 19.9M 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: ≈ $61,214/year ($5,101/month) at 130 KES/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 | KES 3.4M |
KES 4M
≈ $30,944
|
KES 4.6M | KES 2.8M – KES 5.4M |
| mid | 3–5 yrs | KES 5.7M |
KES 8M
≈ $61,214
|
KES 10.1M | KES 4.1M – KES 12.7M |
| senior | 6–9 yrs | KES 11.2M |
KES 13.1M
≈ $101,004
|
KES 15.1M | KES 9.2M – KES 17.7M |
| executive | 10–15 yrs | KES 14.7M |
KES 17.3M
≈ $133,297
|
KES 19.9M | KES 12.1M – KES 23.4M |
Five-year salary trend
What moves this number
What lands in your account
| Level | Gross | Tax | Effective | Net annual | Net monthly |
|---|---|---|---|---|---|
| entry | KES 4M | KES 1.1M | 28.4% | KES 2.9M | KES 239.9K |
| mid | KES 8M | KES 2.4M | 29.8% | KES 5.6M | KES 465.3K |
| senior | KES 13.1M | KES 4.1M | 31.6% | KES 9M | KES 749K |
| executive | KES 17.3M | KES 5.6M | 32.4% | KES 11.7M | KES 976.4K |
Progressive income tax · standard deduction KES 0. Social contributions and local levies are not included.
What renting costs in Kenya
Rent varies by city. Choose a city to compare housing costs.
What to ask for
Based on market data for Machine Learning Engineer in Kenya, the median is KES 8M and the 75th percentile is KES 10.1M. I am targeting KES 10.6M, 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
Same pay, elsewhere
Afghanistan
Albania
Algeria
American Samoa
Andorra
AngolaEquivalent salary needed to keep the same purchasing power, from imported cost-of-living indices and FX. Compare more in the relocation tool.
Machine Learning Engineer in other places
Belgium
Mexico
Pristina, Kosovo
Iceland
Kuala Lumpur, Malaysia
CubaOther roles in Kenya
Machine Learning Engineer salary in Kenya — FAQ
What is the average salary of a Machine Learning Engineer in Kenya?
SpotSalary models a median annual salary of KES 8M for a Machine Learning Engineer in Kenya, or about KES 663,156 per month before tax. The middle 50% of the estimate ranges from KES 5.7M to KES 10.1M, with a full P10–P90 range of KES 4.1M to KES 12.7M. This is a modelled estimate, not a job offer.
How much does an entry-level Machine Learning Engineer earn in Kenya?
The entry-level band for a Machine Learning Engineer in Kenya centres on KES 4M per year (P25–P75: KES 3.4M–KES 4.6M). 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 Kenya?
The executive band for a Machine Learning Engineer in Kenya has a median of KES 17.3M per year and a P75 of KES 19.9M. 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 Kenya?
The outlook is growing. In the base scenario, median pay reaches KES 17.1M by 2031, about 114.6% above today before inflation and 11.5% per year in real terms after 5.0% inflation. Scenario bands widen over time and are not guarantees.
What is the take-home pay for a Machine Learning Engineer in Kenya?
After an effective income tax rate of 29.8%, the mid-level Machine Learning Engineer in Kenya takes home about KES 5,584,165 per year, or KES 465,347 per month. The estimate uses imported national tax brackets and does not include social contributions or local levies.
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 12 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 12 salary observations.
- Iran · derived data
- Guinea · 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.