$110,200Average salary
$110,200Annual benchmarkSalaries in Netherlands2026 Salary Report
Machine Learning Specialist salary in Netherlands.
The Machine Learning Specialist role develops, evaluates, deploys, and monitors machine-learning solutions for practical product or business use. Strong performance requires clear decisions, reliable follow-through, and an ability to explain trade-offs; useful outcome measures include model quality, latency, reliability, safety, adoption, and inference cost. For Netherlands, this report combines salary benchmarks in EUR with modeled assumptions for a 37% tax rate, 20 days of annual leave, and a 78.0 cost-of-living index relative to the United States baseline.
$110,200Estimated annual average
$5,786Estimated monthly take-home
$34.44–$82.12Hourly equivalent range
6 Aug 2026Last benchmark update
Compensation overview
One role, four useful reference points.
Salary ranges reflect different experience levels. Actual offers can vary with company size, industry, location, contract type, specialized skills, benefits, equity, and negotiation.
High accuracy54 recent reports confirm this estimateUpdated 6 Aug 2026
Junior
$65,300–$88,7000-2 yearsMid-level
$88,400–$134,1003-5 yearsSenior
$129,700–$201,2006+ yearsEarnings breakdown
Monthly take-homeEstimated after an average 37% tax rate
$5,786Hourly equivalentBased on a standard 40-hour week
$34.44–$82.12Potential annual bonusIllustrative 10–15% performance range
$11,020–$16,530Planning reference
Monthly savings target40% illustrative allocation
$3,700Retirement contribution14% illustrative allocation
$1,300Housing budgetIllustrative 20% monthly ceiling
Up to $1,800Emergency fundThree to six months of gross income
$27,550–$55,100Healthcare infrastructure
State-supported healthcare contextCore healthcare access is generally supported through public systems and localized tax contributions. Coverage and supplemental costs vary.
Included in ≈ 37% tax model
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12-month trend
How the estimate has moved.
The estimated average changed by 1.9% over the displayed period, moving from $108,100 to $110,200.
| Period | Annual | Hourly |
|---|---|---|
| Aug 2026 | $110,200 | $34–$82 |
| Jul 2026 | $114,800 | $36–$86 |
| Jun 2026 | $114,900 | $36–$86 |
| May 2026 | $107,400 | $34–$80 |
| Apr 2026 | $113,900 | $36–$85 |
| Mar 2026 | $109,400 | $34–$82 |
| Feb 2026 | $110,000 | $34–$82 |
| Jan 2026 | $109,500 | $34–$82 |
| Dec 2025 | $110,700 | $35–$82 |
| Nov 2025 | $106,100 | $33–$79 |
| Oct 2025 | $103,900 | $32–$77 |
| Sep 2025 | $108,100 | $34–$81 |
Current opportunities
Move from research to the live market.
These current remote openings provide additional context for titles, employers, and the way this role appears in active hiring.
Career profile
What shapes success in this role.
Education is only one signal. Skills, tools, collaboration habits, work environment, and continued learning often have equal influence on compensation and progression.
Experience and baseline requirements
Typically 4-7 years of directly relevant experience supported by evidence of independent, high-impact delivery
Required skills
Education requirements
A degree in computer science, machine learning, mathematics, or equivalent applied experience
A portfolio showing model evaluation, data handling, and production implementation
Training and development
Responsible AI and governance training
Production inference optimization
Data quality workshops
MLOps deployment labs
Model evaluation and red-team exercises
Core skills
Trending and emerging skills
Key responsibilities
Own the planning and delivery of work in the Machine Learning Specialist remit, from initial problem definition through measurable follow-up
Apply domain expertise to role-specific decisions while balancing quality, speed, risk, and stakeholder expectations
Define practical success measures and review progress against model quality, latency, reliability, safety, adoption, and inference cost
Investigate problems using relevant qualitative and quantitative evidence before recommending action
Coordinate dependencies and decisions with adjacent teams, escalating material risks early and clearly
Create concise documentation so methods, assumptions, decisions, and handoffs can be reviewed and reused
What can increase compensation
Model and data complexity
Production deployment experience
Evaluation, safety, and governance expertise
Inference performance and cost ownership
Domain-specific AI knowledge
Ability to connect research with product outcomes
Typical career path
Work specifics
Cross-functional AI product team combining experimentation with production engineering and documented model governance
Partners with data, product, legal, security, and platform teams to move models into reliable use
Usually asynchronous, with scheduled overlap for planning, reviews, customer needs, or incident response
Python
PyTorch
Hugging Face
MLflow
Docker
Git
Cloud ML platforms
Common and additional benefits
Remote Work Options
Flexible Hours
Home Office Allowance
High-end Hardware Budget
Learning & Development Stipend
Compulsory Health Insurance Integration
Mental Health Support
Coworking Space Access
Internet Allowance
Similar positions
Market intelligence
Demand beyond the salary range.
Compensation is influenced by hiring pressure, growth, remote availability, industry demand, and the scarcity of relevant skills.
High
Current hiring-demand signal for this role across the tracked market.
20% annual growth
Estimated direction of role demand and compensation opportunity.
High
Implementation of advanced cybersecurity measures and data protection protocols for distributed teams
Key industries
Cross-country pay scale
See how the same role changes by market.
These comparisons apply Jobicy’s country multipliers to the same role model. Differences reflect market context rather than currency conversion alone.
UAE
Austria
Australia
Belgium
Canada
Switzerland
Germany
SpainQuestions answered
Frequently asked questions.
Quick answers about salary, hourly rates, skills, market outlook, and benefits for this role.
What is the average Machine Learning Specialist salary in Netherlands?
The estimated average annual salary is $110,200. Junior roles are estimated at $65,300–$88,700, while senior roles are estimated at $129,700–$201,200.
What is the hourly rate for this role?
The estimated hourly equivalent is between $34.44 and $82.12 based on a standard full-time schedule. Contract rates may differ.
Which skills are most relevant?
Core skills include Python, Machine learning, Model evaluation, Data preparation, Experiment design. Trending and emerging requirements include Vector search, Model observability, Large language models, Retrieval-augmented generation, MLOps.
What is the market outlook?
Jobicy currently classifies demand as High, with a growth signal of 20% annual growth. Availability differs by industry, country, and employer.
Are these salary estimates guaranteed?
No. The figures are informational benchmarks based on market evidence and economic adjustments. Actual compensation depends on experience, skills, location, employer, contract type, benefits, and negotiation.
Methodology
How this estimate is prepared.
Jobicy combines multiple sources and exposes the assumptions so salary benchmarks can be used as context rather than mistaken for guaranteed compensation.
Market evidence
Public labor statistics, active job listings, compensation databases, labor-market research, and anonymous salary submissions.
Country adjustment
Role data is adjusted using currency, purchasing power, estimated tax conditions, and local economic indicators for Netherlands.
Range and review
Experience bands and historical trends are calculated, then refreshed as new market evidence becomes available.
Data sources and disclaimer
Sources include BLS, Eurostat, ILOSTAT, OECD, World Bank Open Data, public compensation databases, current job postings, and anonymous Jobicy reports. Salary and financial calculations are informational only and do not constitute financial, legal, or tax advice. Read the full methodology →
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