L4 AI & Automation Apprentice

Summary

This opportunity is ideal for someone passionate about AI, technology and automation. Working across BMT, you'll help improve business processes through AI solutions, automation and data insights while completing a Level 4 AI & Automation Practitioner apprenticeship and contributing to real projects.

Wage

£15,600 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

Training course

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

Hours

Monday - Friday, 9:00am to 5.30pm

37 hours 30 minutes a week

Start date

Monday 19 October 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:

AI & Automation:

• Identify repetitive, manual and time-consuming business processes that could benefit from automation
• Work with colleagues to understand existing processes and identify opportunities for improvement
• Map current processes and design more efficient automated workflows
• Configure and develop automation solutions using platforms such as Microsoft Power Automate, Zapier and other low-code/no-code tools
• Explore practical applications of generative AI and AI assistants across the business
• Develop AI-powered workflows to support administrative, operational, sales and customer service activities
• Test, monitor and improve automated processes to ensure they deliver the expected results
• Maintain documentation for automation workflows and AI solutions

Data & Business Intelligence:

• Collect, organise and analyse business data to identify trends and opportunities
• Support the creation of reports and dashboards to provide greater visibility of business performance
• Explore how data from systems such as CRM, project management, customer support and resource management platforms can be used more effectively
• Help identify opportunities to improve data quality, accuracy and accessibility
• Use data to support better decision-making across the business

Business Process Improvement:

• Work with different departments to understand how they currently operate
• Identify bottlenecks, duplication and inefficiencies within business processes
• Recommend technology-led improvements
• Support the implementation and adoption of new digital tools and processes
• Measure the impact of automation projects and identify further opportunities for improvement
• Help colleagues understand and adopt new AI and automation solutions

Customer & Operational Support:

• Explore opportunities to automate customer communications, enquiries, follow-ups and reporting
• Investigate how AI could support BMT's customer service and technical support operations
• Look at ways to streamline processes around projects, installations, maintenance and support
• Explore how information from customer and project data can be used to improve service delivery
• Support the development of automated reporting for projects, customers and internal operations

AI Governance & Security:

• Follow BMT's policies relating to data protection, security and confidentiality
• Develop an understanding of responsible and ethical AI use
• Consider data privacy, security and compliance when implementing AI solutions
• Help establish appropriate processes for reviewing and monitoring AI-generated outputs
• Ensure automated solutions are tested before being introduced into business-critical processes

Where you'll work

BMT
1 Bastwick Street Islington
London
EC1V 3NU

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)

What you'll learn

• 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

Artificial Intelligence (AI) and Automation Practitioner Level 4.

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
• Customer care skills
• Problem solving skills
• Number skills
• Analytical skills
• Logical
• Team working
• Initiative
• Interest in AI & automation
• Confident with technology
• Microsoft 365 experience
• Excel, Teams or Power BI
• Power Automate or Zapier
• Interest in Generative AI
• Data or reporting experience
• Understanding of workflows