AI & Automation Practitioner Apprentice (L4) – OAS – Remote – £18-22k DOE – 37.5hrs/w

OUTSOURCE AUTOMATION SOLUTIONS LIMITED

Recruiting nationally

Closes in 13 days (Monday 4 May 2026 at 11:59pm)

Posted on 21 April 2026


Summary

This is a Level 4 apprenticeship, combining structured learning with real project experience. From day one, you’ll be involved in understanding business processes, identifying opportunities for automation, and helping design and deliver solutions using Blue Prism.

Wage

Competitive

Competitive wage offered

Check minimum wage rates (opens in new tab)

Salary

£18-22k (depending on experience) plus Company Pension Scheme

Training course
Artificial intelligence (AI) and automation practitioner (level 4)
Hours
Monday- Friday 9am- 5pm with 30-min lunch

37 hours 30 minutes a week

Start date

Monday 11 May 2026

Duration

1 year 5 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

We are a growing, close-knit team looking for an AI & Automation Practitioner Apprentice to join us and play a key role in delivering intelligent automation & AI solutions for our customers.

Because we’re a small business, you’ll gain broad, hands-on experience across the full delivery lifecycle — not just observing, but actively contributing to real customer projects.

Key responsibilities:

Understanding Business Needs

  • Work directly with customers and internal team members to understand how their processes work
  • Ask questions, gather requirements, and identify opportunities for automation
  • Create clear documentation such as:
    Process maps (as-is and to-be)
    Process Definition Documents (PDDs)
    User stories and acceptance criteria

Designing & Building Automations (Blue Prism)

  • Learn how to design automation solutions using Blue Prism, integrating AI where required
  • Translate requirements into structured designs (Solution Design Documents)
  • Support — and over time lead — the build and configuration of automations
  • Test automations to ensure they meet requirements and work reliably

End-to-End Delivery

  • Be involved in the full lifecycle: discovery → design → build → test → go-live → support
  • Support deployments and help monitor automations in production
  • Troubleshoot issues and suggest improvements

Working in a Small Team

  • Collaborate closely with colleagues across delivery, development, and customer engagement
  • Get involved in different areas of the business where needed (e.g., workshops, demos, internal improvements)
  • Take ownership of tasks and contribute ideas

Learning & Development (Apprenticeship)

  • Complete your Level 4 AI & Automation Practitioner apprenticeship
  • Develop skills in:
    Business analysis techniques
    Process mapping and improvement
    Stakeholder communication
    Intelligent Automation using SS&C Blue Prism products
    Work towards industry-recognised certifications (e.g., Blue Prism certifications)

Skills, characteristics and experience

Essential

  • Strong interest in business processes, problem-solving, and technology
  • Good communication skills and confidence speaking with others
  • Logical thinking and attention to detail
  • Willingness to learn and take initiative
  • Ability to manage your time across work and apprenticeship study
    Excellent attention to detail 

Desirable

  • Some exposure to:
    Business analysis or process mapping
    Automation or coding concepts
    Tools like Excel, Word, Visio, Whimsical or similar
  • A-levels, BTEC, or equivalent (relevant subjects beneficial but not required)

What You’ll Get

  • Real responsibility from early on — not just shadowing
  • Exposure to live customer projects using modern intelligent automation and AI tools
  • A supportive environment where your ideas are valued
  • An opportunity to develop your career as the business grows

Success in This Role Looks Like

  • Producing clear, accurate process and requirements documentation
  • Contributing to successful automation deliveries
  • Building confidence working with customers and stakeholders
  • Progressing through your apprenticeship and technical skills

Where you'll work

The successful candidate will be working remotely from home with occasional travel to customers or corporate events.

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 AI Automation Practitioner standard.

The training covers the following core occupational duties: https://skillsengland.education.gov.uk/apprenticeships/st1512-v2-0

Requirements

Essential qualifications

GCSE in:

  • English (grade 4/C)
  • Maths (grade 4/C)

A Level in:

Computer Science/IT (grade A*-C or equivalent)

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
  • Administrative skills
  • Analytical skills
  • Logical
  • Team working
  • Creative
  • Initiative

Other requirements

Requirements: 

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

OAS pride ourselves on delivering quality results for our customers at competitive rates. As a Blue Prism partner we can offer you what we believe is the best RPA solution available.

Develop an RPA CoE - Hit your targets with RPA the OAS way. If you're a large organisation, we will help you implement a Centre of Excellence with a robust Robotics Operating Model while maximising benefits and ROI from RPA

Cost Effective RPA - Building a RPA capability in a small business can be prohibitively expensive due the initial cost of setting up and developing automations. We can get you straight there at zero cost so all you see are the benefits.

Tailored solutions - We don't have a one-size fits all approach, we tailor each engagement to meet your requirements. Our goal is to embed RPA into your business, not embed ourselves.

https://www.globaloas.com/ (opens in new tab)

Company benefits

This role is 100% remote working, with occasional paid travel for corporate events and customer meetings.

After this apprenticeship

  • The is a permanent position
  • At the end of the apprenticeship, the successful candidate will have a qualification as a Level 4 AI & Automation Practitioner

Ask a question

The contact for this apprenticeship is:

TECHNICAL PROFESSIONALS LIMITED

The reference code for this apprenticeship is VAC2000027355.

Apply now

Closes in 13 days (Monday 4 May 2026 at 11:59pm)