AI & Business Operations Apprentice
ARCA BIOLOGISTICS LIMITED
Milton Keynes (MK19 7HJ)
Closes in 13 days (Wednesday 1 July 2026 at 11:59pm)
Posted on 17 June 2026
Contents
Summary
Launch your career with Arca Biologistics! Join a fast-paced, innovative team while completing a cutting-edge apprenticeship. Gain hands-on experience, develop in-demand skills, and build a future in sustainable logistics. Apply now and be part of shaping smarter supply chains.
- Wage
-
£18,000 a year
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
08:30 - 17:30, Monday to Friday, with one hour for lunch.
35 hours a week
- Start date
-
Monday 5 October 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
We are looking for a highly motivated and curious AI & Business Operations Apprentice to work across multiple areas of the business while helping Arca identify, develop, and implement AI-driven tools and systems.
This is not a traditional administration apprenticeship. The role is designed for someone who is excited by:
- AI and emerging technology
- Process improvement
- Automation
- Data and operational efficiency
- Learning how a scaling business operates end-to-end
You will gain exposure across:
- Operations
- Commercial & Sales
- Customer Service
- Finance
- Marketing
- Technology & Systems
A key part of the role will focus on helping Arca explore and implement practical AI solutions that improve internal efficiency, reporting, customer experience, and decision-making.
Key Responsibilities:
AI & Systems Development
- Support the identification of opportunities to introduce AI tools across the business
- Help research, test, and implement AI platforms and automation solutions
- Assist with integrating AI into workflows, reporting, customer communications, and operational processes
- Work with teams to identify repetitive tasks that can be automated or improved
- Help document and improve internal business processes
- Support adoption and training of new tools and systems
Cross-Functional Business Support
- Support operational and commercial teams with day-to-day projects
- Assist with reporting, data analysis, and process tracking
- Contribute to internal improvement initiatives across departments
- Help maintain CRM, operational systems, and internal documentation
- Support leadership with ad hoc projects and business initiatives
Data & Insight
- Assist in analysing business data and identifying trends or inefficiencies
- Support dashboard and reporting improvements
- Help produce presentations, summaries, and business insights
Where you'll work
Unit B Lincoln Lodge
Castlethorpe
Milton Keynes
MK19 7HJ
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
MILTON KEYNES COLLEGE
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
As part of their apprenticeship, the successful candidate will complete off-the-job training, dedicated learning that takes place during paid working hours and focuses on developing the skills and knowledge needed for the role. This includes structured activities such as workshops, online learning, shadowing, and practical training, ensuring they gain the full competence required to excel in the position while contributing effectively to the organisation.
More training information
Your learning will take place at the South Central Institute of Technology, which offers benefits such as:
- Quality teaching and support
- Project-based learning, co-delivered by employers
- State-of-the-art facilities with plenty of tech equipment available
Requirements
Essential qualifications
GCSE in:
- English (grade 9-4)
- Maths (grade 9-4)
Level 3 qualification in:
Desirable qualifications
GCSE in:
- Business (grade 9-4)
- IT / Digital (grade 9-4)
A Level in:
BTEC 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
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
- AI skills
- Basic data analysis skills
Other requirements
To be eligible for this apprenticeship, you must meet the following residency criteria: You must have lived in the UK, the British Overseas Territories, or Crown Dependencies (Channel Islands and Isle of Man) for at least three years prior to the start of the apprenticeship.
- 5 GCSEs Grade 4/C including English and maths or equivalent
- Level 3 qualification in Business and/or related IT subject
The key dates are to be used as a guide only. Should the right candidate be found, this vacancy may close early.
About this employer
Arca BioLogistics is a specialist life science and healthcare logistics provider supporting pharmaceutical, biotech, diagnostics, clinical research, and healthcare organisations across the UK and internationally.
We deliver time-critical, temperature-controlled, and GDP-compliant logistics solutions with a strong focus on service quality, visibility, technology, and customer experience.
As a growing business, we are investing heavily in operational efficiency, automation, and AI-enabled ways of working. This role is a unique opportunity to help shape how AI is practically implemented across a fast-moving, technology-driven business.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
What You’ll Gain
- Exposure across all major business functions
- Hands-on experience implementing AI and automation in a real business environment
- Mentorship from senior leadership
- Experience working in a fast-growing life science logistics company
- Development of commercial, operational, and technical skills
- Opportunity to help shape how AI is used within the business
Ask a question
The contact for this apprenticeship is:
MILTON KEYNES COLLEGE
Cat Brown
Apprenticeships@mkcollege.ac.uk
01908637056
The reference code for this apprenticeship is VAC2000037781.
Apply now
Closes in 13 days (Wednesday 1 July 2026 at 11:59pm)