Knitting Textile Technician
Role lens
Knitting textile technicians perform operations related to setting up knitting processes. They may work in weft or warp knitting factories, using digital information technology (CAD) for patterning. They work in cooperation with the physical laboratory technicians in order to ensure error free knitted fabrics. They are responsible for highest productivity rates.
Knitting textile technicians are skilled professionals who set up and operate knitting machines in factories, whether they produce weft or warp knits. Utilizing digital information technology, often including CAD software, you’ll be responsible for translating patterns into tangible fabric. Collaboration with laboratory technicians is key to maintaining quality control and minimizing errors. Your work directly impacts production rates, so accuracy and efficiency are paramount.
- • Setting up and operating knitting machines according to specified patterns and production requirements.
- • Using CAD software to interpret and implement fabric designs.
- • Monitoring machine performance and making adjustments to optimize production and fabric quality.
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, Czechia, Italy, Romania and 1 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)
| Reported demand | Typical pay | Where it is heading | |
|---|---|---|---|
| United States | Not reported | $39,530 2025-05 | −11.2% 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 * | — | — |
* Published for occupation groups, not for individual job titles.
U.S. Bureau of Labor Statistics (OEWS)
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Future Outlook for knitting textile technician
The outlook for knitting textile technician 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 knitting textile technician change as AI adoption grows?
Several task areas may shift toward AI-assisted workflows, so reskilling becomes more important.
Illustrative scenario based on task automatability — not a forecast. Values are rounded the further ahead you look.
Several task areas may shift toward AI-assisted workflows, so reskilling becomes more important.
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
- control textile process
Where AI may become a co-pilot
- distinguish accessories
- distinguish fabrics
- draw sketches to develop textile articles using softwares
Tasks most exposed to automation
- develop specifications of technical textiles
Vital Signs & AI Vectors
AI Exposure Vectors
0-100%Exposure to AI-assisted analysis, pattern recognition, and predictive modelling tasks
Exposure to physical automation, robotics, and sensor-driven task displacement
Exposure to content generation, creative augmentation, and large language model tools
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 a knitting textile technician
09 09:00 · Morning control textile process
10 10:30 · Mid-morning develop specifications of technical textiles
12 12:00 · Midday distinguish accessories
14 14:00 · Afternoon distinguish fabrics
15 15:30 · Late afternoon draw sketches to develop textile articles using softwares
17 17:00 · Wrap-up manufacture weft knitted fabrics
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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use weft preparation technologies
Prepare bobbins to be used in textile processing.
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set-up weft knitting machines
Prepare weft knitting machines. Activities related to preparing for weft knitting process, knitting to specification and keeping the work area clean and safe.
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use warp knitting technologies
Use warp knitting machine technologies that enable the formation of fabrics. Able to set machines for warp knitting, colour and pattern for monitoring and controlling the warp knitting process on electronic automatic warp knitting machines equipped with multifunction microprocessor and software.
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manufacture weft knitted fabrics
Perform the operation, monitoring and maintenance of machines and processes to manufacture weft knitting fabrics.
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distinguish accessories
Distinguish accessories in order to determine differences among them. Evaluate accessories based on their characteristics and their application in wearing apparel manufacturing.
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distinguish fabrics
Distinguish fabrics in order to determine differences among them. Evaluate fabrics based on their characteristics and their application in wearing apparel manufacturing.
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develop specifications of technical textiles
Developing specifications for fibre based technical products with functional performances.
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control textile process
Planning and monitoring textile production to achieve control on behalf of quality, productivity and delivery time.
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measure yarn count
Be able to measure yarn length and mass to assess fineness of roving, sliver and yarn in different measuring systems.Also able to convert into the various numbering system such as tex, Nm, Ne, denier, etc.
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draw sketches to develop textile articles using softwares
Draw sketches to develop textiles or wearing apparel using softwares. They create visualisations of the motives, patterns or products in order to be manufactured.
knitting machine technology
Manufacturing technologies which use loop forming techniques to convert yarns into fabrics in order to form knitted fabrics.
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.
- portfolio management in textile manufacturing
- textile technologies
Path to become a knitting textile technician
What it typically takes to qualify: education level, where it is a regulated profession, and where to study.
Upper secondary education
206 programmes in 25 countries teach the core skills of this job. Plus 68 short courses that build single skills.
A few examples, taught in the language of this page:
Ammattiopisto Tavastia · Finland
Textile Sciences and Engineering
University of California-Davis · the United States
These are 6 of 274.
Sources
- 1. Source: Opintopolku.fi (Finnish National Agency for Education)
- 2. Source: Kenya Universities and Colleges Central Placement Service (students.kuccps.ac.ke).
- 3. Source: Malta Qualifications Registry, Malta Further and Higher Education Authority (qualifications.mfhea.gov.mt).
- 4. Source: Study in Korea, National Institute for International Education (NIIED) (studyinkorea.go.kr).
- 5. Source: U.S. Department of Education, College Scorecard (collegescorecard.ed.gov), CC BY. Data as at 10/06/2026. Adapted by NexPath.
Growth Pathways & Similar Roles
Explore typical career progression paths, adjacent skills, and similar roles to plan your next transition.
Where does knitting textile technician 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 training or education is typically needed to become a knitting textile technician?
How important is CAD software knowledge in this role?
What are the typical work conditions for a knitting textile technician?
Is there a shortage of Knitting Textile Technician in Europe?
How much does Knitting Textile Technician pay in the United States?
Sources: ESCO O*NET ELA/EURES Cedefop BLS Data updated October 3, 2026 About our data