Career profile · SOC ESC-5F90072E

knitting machine supervisor

Knitting machine supervisors supervise the knitting process of a group of machines, monitoring fabric quality and knitting conditions. They inspect knitting machines after set up, start up and during production to ensure that the product being knit meets specifications and quality standards.

knitting machine supervisor knitting machine supervisors supervise the knitting process of a group of machines, monitoring fabric quality and knitting conditions. The role shows moderate AI exposure (0.50 on a 0-1 scale) — some tasks are being automated but the role adapts. The most in-demand skills for the role include knitting machine technology, control textile process, manufacture knitted textiles, maintain work standards, ensure equipment availability.

AI exposure
5.0/10
automation risk

Pay in the UK

UK: median £27,915 a year for Textile process operatives (ONS ASHE 2025, full-time)

UK jobs are grouped differently; this is the closest UK occupation group (ONS SOC 2020 8112). ONS rates this estimate reasonably precise. 2025 provisional figures; ONS revises them a year later. Source: ONS Annual Survey of Hours and Earnings (Open Government Licence)

Pay in India (occupation group)

Average monthly earnings of salaried employees in the occupation group “Plant and machine operators and assemblers” in India, from the Government of India's Periodic Labour Force Survey (January–December 2025). It covers everyone in this group, not only knitting machine supervisor, and it is not US pay converted to rupees.

Urban India
₹18,618 a month
Rural India
₹16,257 a month
All India
₹17,301 a month

Source: MoSPI (Government of India), Periodic Labour Force Survey Annual Report 2025, Table 51 — average wage/salary earnings of regular wage/salaried employees, NCO-2015 division 8. Official India data gives one average per occupation group: there are no official India figures for single careers, experience levels or cities. Read the report

Top skills

knitting machine technology control textile process manufacture knitted textiles maintain work standards ensure equipment availability use warp knitting technologies manufacture weft knitted fabrics

Knowledge you'll build

  • Production and Processing
  • English Language
  • Mechanical
  • Public Safety and Security
  • Education and Training
  • Computers and Electronics
  • Customer and Personal Service
  • Administration and Management

What you'd actually do

  • Observe woven cloth to detect weaving defects.
  • Thread yarn, thread, and fabric through guides, needles, and rollers of machines for weaving, knitting, or other processing.
  • Remove defects in cloth by cutting and pulling out filling.
  • Examine looms to determine causes of loom stoppage, such as warp filling, harness breaks, or mechanical defects.
  • Inspect products to ensure that specifications are met and to determine if machines need adjustment.
  • Notify supervisors or repair staff of mechanical malfunctions.

Tools & technology you'd use

Microsoft Excel hot Microsoft Office software hot Microsoft Outlook hot Microsoft PowerPoint hot Microsoft Word hot Computer aided manufacturing CAM software

Frequently asked questions

What does knitting machine supervisor do?

Knitting machine supervisors supervise the knitting process of a group of machines, monitoring fabric quality and knitting conditions. They inspect knitting machines after set up, start up and during production to ensure that the product being knit meets specifications and quality standards.

What skills does knitting machine supervisor need?

The most in-demand skills for this role include knitting machine technology, control textile process, manufacture knitted textiles, maintain work standards, ensure equipment availability, use warp knitting technologies. These are the skills O*NET identifies as most important for competent performance.

Will AI replace knitting machine supervisor?

Our AI-durability model gives knitting machine supervisor a score of 0.50 on a 0-1 scale (higher = more exposure). That places it at moderate AI exposure — some tasks are being automated but the role adapts. Learning to work with AI tools rather than against them is the path forward.

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