Applied AI and Automation Apprenticeship

FDM GROUP LIMITED

London (SE1 2QG)

Closes in 11 days (Sunday 12 July 2026)

Posted on 1 July 2026

Print

Contents

Summary

This is an 18-month hands-on opportunity based in London to use AI tools to build real, practical skills in AI while working in a business along with structured learning at ADA.

Wage

£18,000 a year

Minimum wage rates (opens in new tab)

Your salary will increase to National Minimum Wage after completing the first 12 months of the apprenticeship.

Training course
Artificial intelligence (AI) and automation practitioner (level 4)
Hours
Monday to Friday, 9.00am to 5:30pm.

37 hours 30 minutes a week

Start date

Monday 7 September 2026

Duration

1 year 6 months

Positions available

2

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

This is a hands-on role where you’ll support teams across the business:

  • You’ll be supporting colleagues to use AI tools like Copilot in their everyday work to build confidence in using AI across the business, promote safe, responsible and ethical use of AI
  • You’ll spend a lot of your time working on SharePoint, helping to improve and organise the various sites, prepare systems so they’re ready for automation and encourage good practice in how information is stored and shared
  • You’ll support AI roll-out by helping to introduce AI tools across different departments, spot opportunities where AI could save time or improve work and support teams as they start to use new tools
  • You’ll be helping to improve systems and processes, help fix problems using AI or simple automations, support staff to build simple workflows, prompts and AI agents, supporting projects that improve how work gets done

Where you'll work

3rd Floor
Cottons Centre
Cottons Lane
London
SE1 2QG

Training

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

Training provider

ADA NATIONAL COLLEGE FOR DIGITAL SKILLS

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

20% of your time will be dedicated to structured learning, attending ADA National Digital College (London):

Ada, the National College for Digital Skills,
1 Sutherland Street,
London.
SW1V 4LD.

This programme delivers the skills and knowledge needed to make the most of AI and automation technology in a wide range of business contexts.

Through hands-on practical projects, apprentices learn to identify problems and opportunities, then design and deliver safe and effective solutions that add real value using agents, automations, and LLMs.

More training information

Learning in short, focused sprint blocks every few weeks you’ll develop skills across five projects:

  • Responsible implementation of AI, Automation and Prompting Foundations
  • Process and Automation Tools
  • Low-code Automation
  • AI Augmented Solutions
  • Augmented Work Systems

Requirements

Essential qualifications

A Level in:

Computer Science or equivalent (grade A-C)

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
  • Presentation skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Creative
  • Initiative
  • Non judgemental
  • Patience
  • Curious
  • Confident
  • Self driven

Other requirements

Our apprentice programme could be a great fit for you if you are:

  • Over the age of 16
  • Based in London and have the right to work in the UK
  • Looking for a paid work opportunity
  • Curious about technology and keen to learn about emerging trends and innovations
  • Already hold an A Level in Computer Science or a related technology qualification
  • A self-starter who takes initiative and has the confidence to "get the job done"
  • Professional, enthusiastic and able to demonstrate a positive, can-do attitude
  • Eager to develop your skills while making a real impact on the business from day one

This apprenticeship is ideal for someone who wants to combine a passion for technology with the opportunity to help shape how AI is used across a large and dynamic organisation.

About this employer

We are a business and technology consultancy and one of the UK's leading graduate employers, recruiting the brightest talent to become the innovators of tomorrow. We have centres across Europe, North America and Asia-Pacific, and a global workforce of over 4,000 Consultants. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer and is listed on the FTSE4Good Index.

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

Company benefits

  • Career coaching and access to upskilling
  • Potential to be placed on assignments with global companies
  • Opportunity to up-skill into new areas

After this apprenticeship

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

This apprenticeship isn’t just an education. It’s an express route, to fast track your career! For example, it may be possible to progress onto the FDM Degree Apprenticeship Programme or take on permanent roles with our clients.

Ask a question

The contact for this apprenticeship is:

FDM GROUP LIMITED

Hannah Barlow

UK.Apprenticeships@fdmgroup.com

The reference code for this apprenticeship is VAC2000039748.

Apply now

Closes in 11 days (Sunday 12 July 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.