AI & Automation Practitioner apprenticeship ( L4)
AESSEAL PLC
South Yorkshire (S60 1BZ)
Closes in 24 days (Monday 20 April 2026 at 11:59pm)
Posted on 27 March 2026
Contents
Summary
AESSEAL are searching for a motivated person to join the Development and Automation Team. The role is designed to develop the knowledge, skills and behaviours required to support the identification, design, implementation and improvement of AI and automation solutions to enhance productivity, accuracy and efficiency across the organisation.
- Wage
-
£16,500 a year
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
Hours of work: 37.5 hours a week.
9.00am - 5.00pm on site at Head Office in Rotherham.
37 hours 30 minutes a week
- Start date
-
Monday 11 May 2026
- Duration
-
1 year 6 months
- 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
- Identify, design, implement and continually improve AI and automation solutions to enhance productivity, accuracy and efficiency across the organisation
- Analyse existing business processes and workflows to identify opportunities
- Assess solution viability
- Test and monitor deployed solutions
- Support the delivery of digital solutions using tools such as UiPath, Microsoft Power
- Automate Copilot Studio and more
- Ensure ethical and secure use of AI and Automation
- Effectively communicate with stakeholders
- Support user adoption and change management
- Launch and manage new projects
Where you'll work
Global Technology Centre
Bradmarsh Business Park
Mill Close Rotherham
South Yorkshire
S60 1BZ
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
TECHNICAL PROFESSIONALS 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 solutions for example Zapier, Make and Power Automate.
- 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 solutions for example Zapier, Make and Power Automate.
- 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
During this apprenticeship, you will follow a fully supported training programme with LearnTech, delivered through combined weekly remote classroom-based training, workplace assessment/training and online learning working towards completing the Level 4 AI Automation Practitioner Apprenticeship.
The training covers the following core occupational duties:
Artificial intelligence (AI) and automation practitioner / Skills England
Requirements
Essential qualifications
GCSE in:
- English (grade 4)
- Maths (grade 4)
Desirable qualifications
A Level in:
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
- Customer care skills
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
- Interest in AI & Automation,
- MS Office
- Responsibe
- Excel
- Proactive
Other requirements
Must be within a 1 hour commute via public transport/car.
A Levels (or equivalent) are desirable, particularly in subjects such as Mathematics, Science, Engineering, Computer Science or related technical disciplines.
It is a requirement to have five GCSE 9-4 grades or equivalent (including English and Maths) to apply for this type of apprenticeship. If you do not have these grades but have completed numeracy and literacy Key Skills/Functional Skills at level two you may also apply for these apprenticeships.
Eligibility
You must meet the following eligibility criteria to apply for the role:
- Have been a UK/EEA resident for the last 3 years
- Hold valid residency status
- Have the right to work in the UK
About this employer
Proud to be a ‘Financial Times top 500 UK employer’
4th in the Employers for Engineering / Manufacturing sector, reinforcing our reputation as a leading employer in the industry.
At AESSEAL we design and manufacture sealing solutions for a sustainable future.
We combine both our own success with environmental protection and being a good corporate citizen. Find out more.
Through our investment in innovative new sealing solutions we enable our customers in a wide range of industries to meet the complex needs of society both now and in the future.
We believe in operating in an ethical and sustainable manner, providing sealing solutions to our customers that improve reliability and help reduce energy and water consumption. Our world class manufacturing facilities use the latest in machine tool technology and our systems and processes enable us to be the worlds largest homogeneous mechanical seal manufacturer.
By investing in pioneering technology, we simplify the whole ordering process and respond quickly to customers’ needs – whatever, wherever. We aim to exceed expectation consistently: in delivery, quality, reliability and service. We’re challenging industry standards, challenging our competitors, challenging thinking – and challenging to become world market leader.
After this apprenticeship
Subject to successful completion of the apprenticeship and business requirements, the role may progress into an AI and RPA Developer or similar automation-focused position within AESSEAL.
Ask a question
The contact for this apprenticeship is:
TECHNICAL PROFESSIONALS LIMITED
The reference code for this apprenticeship is VAC2000023261.
Apply now
Closes in 24 days (Monday 20 April 2026 at 11:59pm)