CAM Systems Engineer Apprentice

GSPK CIRCUITS LIMITED

North Yorkshire (YO51 9UY)

Closes in 30 days (Sunday 8 November 2026 at 11:59pm)

Posted on 8 October 2026

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Summary

Develop and maintain internal CAD and ERP systems, improving efficiency through enhanced functionality and increased automation across front-end business systems.

• Wage:

  £15,392 for your first year, then could increase depending on your age

  National Minimum Wage rate for apprentices

  Minimum wage rates (opens in new tab)

  The pay may be negotiated and may rise after a probation period has been successfully completed.

• Training course: Artificial intelligence (AI) and automation practitioner (level 4)
• Hours: 8.00am to 4.30pm, Monday to Thursday. 8.00am to 4.00pm, Friday. 1 hour for lunch each day.

  37 hours a week

• Start date:

  Monday 16 November 2026

• Duration:

  1 year 1 month

• Positions available:

  1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

Key Responsibilities

• Learn the manufacturing Process for bare printed circuit boards
• To learn the engineering software(UCAM and Nexus) and provide engineering support as required
• Maintain and develop the ERP system and help improve efficiency and automation using Python and AI tools
• Learn Java scripting and maintain and develop scripts to increase automation within the CAM engineering department
• To understand health and safety responsibilities both as an individual and for the position appointed and work within the rules given in the Company H&S Policy Document

Where you'll work

Wetherby Road
Boroughbridge
York
North Yorkshire
YO51 9UY

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

VELOCITY 1ST LIMITED

Training course

Artificial intelligence (AI) and automation practitioner (level 4)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents

• Review, establish, follow and or amend policies and procedures on data and information security.
• Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
• Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
• Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
• Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
• Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
• Use automation design tools to suit the organisational context to configure, adapt and implement AI or automation solutions, such as conversational agents, text processing AI, workflow automation platforms and cloud based SaaS or PaaS.
• Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
• Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
• Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
• Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
• Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
• Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
• Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
• Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
• Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
• Contribute to sustainable and efficient AI and automation solutions.
• Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
• Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
• Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
• Undertake data analysis, preparation, and conversion to support automation solutions.
• Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
• Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts of automation projects.
• Use project management principles, techniques and tools to support the development of clear, balanced communications and briefings, articulating both opportunities and risks.
• Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology including methods to evaluate vendor and supplier solutions.
• Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
• Apply technical understanding to help align business needs with technical capabilities, supporting the development of solutions that are scalable, efficient, and aligned with the organisation’s strategic objectives.
• Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
• Apply algorithmic impact assessment and workforce equality monitoring techniques when scoping, implementing, and reviewing AI and automation projects. Gather and analyse relevant workforce data, identify potential equality risks, and contribute evidence-based recommendations to support fair and inclusive adoption.
• Review, establish, follow and or amend policies and procedures on data and information security.
• Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
• Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
• Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
• Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
• Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
• Use automation design tools to suit the organisational context to configure, adapt and implement AI or automation solutions, such as conversational agents, text processing AI, workflow automation platforms and cloud based SaaS or PaaS.
• Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
• Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
• Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
• Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
• Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
• Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
• Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
• Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
• Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
• Contribute to sustainable and efficient AI and automation solutions.
• Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
• Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
• Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
• Undertake data analysis, preparation, and conversion to support automation solutions.
• Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
• Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts of automation projects.
• Use project management principles, techniques and tools to support the development of clear, balanced communications and briefings, articulating both opportunities and risks.
• Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology including methods to evaluate vendor and supplier solutions.
• Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
• Apply technical understanding to help align business needs with technical capabilities, supporting the development of solutions that are scalable, efficient, and aligned with the organisation’s strategic objectives.
• Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
• Apply algorithmic impact assessment and workforce equality monitoring techniques when scoping, implementing, and reviewing AI and automation projects. Gather and analyse relevant workforce data, identify potential equality risks, and contribute evidence-based recommendations to support fair and inclusive adoption.

Training schedule

Velocity apprenticeship training programmes are delivered virtually by our fully qualified and industry experienced training team.

Using their expert knowledge, they will provide the skills necessary to succeed in the workplace and to expand future career prospects.

Throughout the apprenticeship, learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their programme.

Requirements

Essential qualifications

GCSE in:

• 3 more other than English and Maths (grade A*-C/ 9-4)
• English (grade A*-C/ 9-4)
• Maths (grade A*-C/ 9-4)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

• Communication skills
• IT skills
• Attention to detail
• Organisation skills
• Problem solving skills
• Team working
• Creative
• Initiative
• willingness to learn

Other requirements

Applicants must be 18+ and eligible to work in the UK due to insurance and health & safety requirements.

About this employer

GSPK Circuits Ltd is the largest privately owned UK manufacturer of printed circuit boards. We have been proudly serving the global electronics industry for over 60 years. Our long-standing experience and technical expertise enable us to deliver high-quality engineering and manufacturing processes you can rely on. While we are proud of our heritage, we’re equally excited about the future.

We operate using world-class operational management systems, allowing us to deliver on time, every time—with quality built into every step of the process.

Driven by customer demand, our agile and responsive manufacturing capabilities allow us to handle high-mix, low-to-medium volume requirements with some of the shortest lead times in the industry.

For rapid PCB prototyping, GSPK Circuits offers a comprehensive range of surface finishes including lead-free HASL, immersion silver, ENIG, and ENEPIG. We are the only UK circuit manufacturer with an in-house ENEPIG line, allowing us to control quality, shorten lead times, and crucially—eliminate the need to send boards to external subcontractors.

We manufacture, test, and despatch conventional, double-sided plated through-hole, and multi-layer PCBs with speed and reliability—delivering to your schedule without compromising on performance.

https://www.gspkcircuits.ltd.uk/ (opens in new tab)

Company benefits

• 23 days holiday
• Paid sick leave
• Pension scheme
• Free tea and coffee
• Real career progression as the business grows

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

The role offers long-term security and the opportunity to progress into a permanent position.

Ask a question

The contact for this apprenticeship is:

VELOCITY 1ST LIMITED

Ivana

ivana@velocity-academy.co.uk

The reference code for this apprenticeship is VAC2000057917.

Apply now

Closes in 30 days (Sunday 8 November 2026 at 11:59pm)