Embroidery Machine Operator
Role lens
Embroidery machine operators decorate wearing apparel by tending embroidery machines varying in their technology in order to embroider and ornamental wearing apparel.
Embroidery machine operators are skilled professionals who use specialized machinery to embellish clothing, accessories, and other textiles. Your daily tasks involve setting up embroidery machines, loading designs, monitoring the embroidery process, and ensuring the quality of the finished product. You'll work with a variety of fabrics and thread types, adapting your techniques to achieve desired results. The technology used can vary, from older mechanical machines to advanced computerized systems.
- • Load and secure fabric into embroidery machines.
- • Input and troubleshoot embroidery designs using computer software.
- • Monitor machine operation, making adjustments as needed to maintain quality and prevent errors.
Where this occupation is in demand
Reported labour shortages and surpluses, by year. Published for occupation groups, not for individual job titles.
Figures cover Stationary plant and machine operators — 259 jobs including this one.
In shortage: Belgium, Bulgaria, Czechia, Hungary and 5 more.
Longest-running shortage: Belgium, 4 years.
Select a place on the map to see its figures.
About this source›
Source: ELA/EURES labour shortages and surpluses. Readings are published at occupation-group level, and cover Europe. Editions differ in annex layout and country coverage, so a change between years does not always mean the labour market changed. Countries in grey were not reported, which is not the same as being in balance.
What these words mean
The four things this section reports
- Reported demand
- Whether employers report needing people in this job — a judgement published by a national or EU body, not a count.
- Where it is heading
- Which way employment in this job is expected to move over the coming years, from an official projection.
- Openings
- Roughly how many openings arise — from growth and from people leaving the job.
- Typical pay
- What people in this job typically earn where the source publishes it. Blank does not mean unpaid; it means nobody publishes it for that place.
A measure is left out when nobody publishes it for that place, rather than shown as zero.
Which way the market leans for you
- In your favour
- More openings than people looking — employers are competing for candidates.
- Balanced
- Openings and candidates are roughly matched.
- Competitive
- More people looking than openings — expect to compete.
- Mixed evidence
- Sources disagree, or the same occupation group is short in one part and oversupplied in another.
Every source resolves to one of these four, so there is a single vocabulary to learn. What differs is the evidence behind it, which is printed underneath each verdict — a measured ratio of openings to jobseekers, or an assessment published by a national body.
How this job compares with other jobs in the same country
- Strong
- Among the strongest in that country
- Good
- Stronger than most jobs in that country
- Mixed
- About typical for that country
- Weak
- Weaker than most jobs in that country
This is a rank within one country, not a score you can carry across borders — the registers behind two countries count different people, so the same number means different things in each. It is also why a job can be among the strongest in a country and still show as Competitive: it leads the field in a market that is crowded overall.
Where these come from
Every figure is published by a national statistics office, a public employment service or an EU body, and each card names its source and the period it covers. Some places are counted monthly, others assessed once or twice a year, so two places on the same map can be describing different moments — the date is always shown.
None of this predicts one person’s chances. It describes a market.
Reported demand · Typical pay · Where it is heading (United States, Ireland, Australia, Malta, United Kingdom)
| Reported demand | Typical pay | Where it is heading | |
|---|---|---|---|
| United States | Not reported | $36,670 2025-05 | −10.8% 2024–2034 · BLS 2024-2034 |
| Ireland | Not reported | — | +42.9% 2023–2035 · Cedefop 2026 * |
| Australia | Assessed as balanced Jobs and Skills Australia 2025 * | — | — |
| Malta | Shortage reported ELA/EURES 2024 * | — | — |
| United Kingdom | Not reported | £22,767 2025-provisional | — |
* Published for occupation groups, not for individual job titles.
U.S. Bureau of Labor Statistics (OEWS)
Source: Office for National Statistics, Annual Survey of Hours and Earnings, Open Government Licence v3.0
Do you guide students, clients or employees? Use this occupation data in your organisation.
Future Outlook for embroidery machine operator
The outlook for embroidery machine operator reflects a balanced mix of automation exposure and durable, human-led work.
How are these scores calculated?
The Resilience Score (0–100) estimates how structurally protected this occupation is from automation and AI disruption, based on task-level analysis. Higher scores mean more human-judgment-intensive tasks. AI Exposure shows the estimated percentage of task hours that current AI capabilities could affect. These are model-derived structural indicators, not predictions about individual job security.
How could embroidery machine operator change as AI adoption grows?
This role is likely to change gradually, with AI supporting selected tasks rather than replacing the whole occupation.
Illustrative scenario based on task automatability — not a forecast. Values are rounded the further ahead you look.
This role is likely to change gradually, with AI supporting selected tasks rather than replacing the whole occupation.
Illustrative scenario based on task automatability — not a forecast. Values are rounded the further ahead you look.
Model-based estimate. Use it as a planning signal, not a guarantee.
Compare this to your profile
How AI may change this role
Deterministic, model-based interpretation of current role signals — not a guarantee of replacement.
What still depends on people
Most tasks here are AI-assistable rather than purely human-led.
Where AI may become a co-pilot
- manufacture wearing apparel products
- sew textile-based articles
- embroider fabrics
Tasks most exposed to automation
No single task here is highly automatable yet.
Vital Signs & AI Vectors
AI Exposure Vectors
0-100%Exposure to physical automation, robotics, and sensor-driven task displacement
Exposure to content generation, creative augmentation, and large language model tools
Exposure to AI-assisted analysis, pattern recognition, and predictive modelling tasks
Exposure to workflow automation, decision-support software, and process digitisation
Technical Details
NexFuture v3.0 estimates automation exposure natively from ESCO essential-skill groups, weighted by skill mass and calibrated against expert anchors. Scores are probabilistic estimates, not guarantees. See the NexFuture Methodology White Paper for full details.
Measures automation exposure. It does not measure pay, demand, or how many jobs exist near you.
What people in this role usually do
Advanced Manufacturing
A typical day as an embroidery machine operator
09 09:00 · Morning decorate textile articles
10 10:30 · Mid-morning embroider fabrics
12 12:00 · Midday manufacture wearing apparel products
14 14:00 · Afternoon sew textile-based articles
Task order is illustrative. Individual days vary.
What you need to do this work
The skills, knowledge and tools this role calls for — and the traits and rewards that come with it.
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manufacture wearing apparel products
Manufacture either mass-product or bespoke wearing apparels of various types, assembling and joining together wearing apparel components using processes such as sewing, gluing, bonding. Assemble wearing apparel components using stitches, seams such as collars, sleeves, top fronts, top backs, pockets.
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sew textile-based articles
Sew different products based on textiles and wearing apparel articles. Combine good hand-eye coordination, manual dexterity, and physical and mental stamina.
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embroider fabrics
Embroider fabrics of different proveniences or finished articles by using embroidery machines or by hand.
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decorate textile articles
Decorate wearing apparels and made up textile articles by hand or using machines. Decorate textile articles with ornaments, braided cords, golden yarns, soutaches, jewellery, and cristals.
apparel manufacturing technology
Traditional and advanced apparel manufacturing technologies. Technologies including processes, machinery, etc. in order to compile and design pattern requirements, contribute to product costing and finalise assembly sequence and quality assurance criteria.
manufacturing of made-up textile articles
Manufacturing processes in wearing apparel and made-up textiles. Different technologies and machinery involved in the manufacturing processes.
manufacturing of wearing apparel
The processes used to fabricate wearing apparel and the different technologies and machinery involved in the manufacturing processes.
properties of textile materials
The characteristics and properties of different textile and fabric materials. These include strength, flexibility, elasticity, softness, durability, heat insulation, low weight, water absorbency/repellence, dyeability and resistance to chemicals. Moreover, the influence of chemical composition and molecular arrangement of yarn and fibre properties and fabric structure on the physical properties of textile fabrics; the different fibre types; the materials used in different processes and the effect on materials as they are processed.
Path to become an embroidery machine operator
What it typically takes to qualify: education level, where it is a regulated profession, and where to study.
Upper secondary education
613 programmes in 28 countries teach the core skills of this job. Plus 124 short courses that build single skills.
A few examples, taught in the language of this page:
Textile and Fashion Design
ESKİŞEHİR TEKNİK ÜNİVERSİTESİ · Türkiye
Bachelor of Creative Industries (Applied Fashion)
University of Canberra · Australia
Ammattiopisto Tavastia · Finland
These are 6 of 737.
Sources
- 1. Source: Commonwealth of Australia (Department of Education), CRICOS, data.gov.au, CC BY 2.5 AU. Data as at 30/09/2026. Adapted by NexPath.
- 2. Source: Study in Korea, National Institute for International Education (NIIED) (studyinkorea.go.kr).
- 3. Source: YÖK Atlas, Council of Higher Education (yokatlas.yok.gov.tr).
- 4. Source: Opintopolku.fi (Finnish National Agency for Education)
- 5. Irish course data from Qualifax (qualifax.ie), run by Quality and Qualifications Ireland (QQI).
Growth Pathways & Similar Roles
Explore typical career progression paths, adjacent skills, and similar roles to plan your next transition.
Where does embroidery machine operator fit?
Similarity scores based on skill overlap from ESCO data.
For organisations
The data on this page, working for your students, clients and staff.
Frequently asked questions
What kind of designs do embroidery machine operators work with?
Do I need prior experience to become an embroidery machine operator?
What skills are important for success in this role?
Is there a shortage of Embroidery Machine Operator in Europe?
How much does Embroidery Machine Operator pay in the United States?
Sources: ESCO O*NET ELA/EURES Cedefop BLS Data updated October 19, 2026 About our data