Recruitment AI & Automation Apprentice
PROFESSIONAL APPRENTICESHIPS LTD
BRISTOL (BS4 1ET)
Closes in 13 days (Tuesday 28 April 2026)
Posted on 14 April 2026
Contents
Summary
We are looking for a proactive and detail-oriented Recruitment AI & Automation Apprentice to support the optimisation of our recruitment technology stack, with a particular focus on Bullhorn Automation and Bullhorn Amplify (CRM). This role sits at the intersection of recruitment, technology, and responsible AI adoption.
- Wage
-
£19,000 a year
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
Monday - Friday, 9am-5pm.
37 hours 30 minutes a week
- Start date
-
Tuesday 5 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
Key Responsibilities
Bullhorn Automation & Workflow Development
- Assist with building, testing, and maintaining automated workflows within Bullhorn and other low/no-code tools (e.g. Power Automate, Zapier, Make).
- Support the design of automation solutions that improve efficiency while maintaining quality and user experience.
- Monitor workflows and evaluate performance, identifying errors, inefficiencies, or risks.
- Contribute to iterative improvements using feedback, testing, and data insights.
- Troubleshoot basic issues and escalate where required.
AI & Responsible Automation Support
- Support the use of AI-driven tools to enhance candidate matching, screening, and recruiter productivity.
- Assist in refining AI prompts and workflows to improve accuracy and usefulness.
- Contribute to ensuring AI solutions are used responsibly, considering: Bias and fairness, Data quality and Transparency and user understanding.
- Help assess the suitability and risks of automation opportunities before implementation.
Systems, Process Improvement & Change
- Map and review recruitment workflows to identify inefficiencies, risks, or opportunities for automation.
- Support the delivery of incremental improvements, pilots, and process enhancements.
- Work with stakeholders to understand challenges and recommend practical, scalable solutions.
- Proactively engage with internal teams to gather feedback and identify improvement opportunities.
- Contribute to change management activities, ensuring users are supported through system and process updates.
Data, Reporting & Evaluation
- Support reporting on system usage, workflow effectiveness, and AI adoption.
- Assist with analysing productivity improvements and identifying further optimisation opportunities.
- Help evaluate solutions based on feasibility (time, cost, data quality, and business impact).
- Contribute to maintaining high standards of data quality and consistency.
Training, Communication & User Enablement
- Provide first-line support for users on systems, workflows, and AI tools.
- Proactively engage with internal stakeholders to understand their needs, challenges, and feedback.
- Deliver 1:1 and group training sessions to support adoption of automation and AI tools.
- Confidently approach users to coach, guide, and challenge ways of working where improvements can be made.
- Create and maintain user guides, FAQs, and internal documentation.
- Translate technical concepts into clear, accessible communication for non-technical audiences.
- Encourage strong system discipline and consistent use of best practices.
Skills & Experience Required
- Confidence to engage with and influence internal stakeholders at all levels.
- Strong communication skills, with the ability to train, coach, and support others.
- Ability to proactively approach people and build effective working relationships.
- Comfortable delivering 1:1 coaching.
- Able to explain technical or system concepts in a simple, clear way.
Personal Attributes Required
- Curious and tech-minded.
- Confident and proactive communicator.
- Comfortable approaching and engaging with others across the business.
- Coaching mindset with a willingness to support and develop others.
- Collaborative and approachable.
- Detail-focused and reliable.
- Adaptable in a fast-paced environment.
- Understanding of professional recruitment services.
Where you'll work
1 FILWOOD PARK LANE
BRISTOL
BS4 1ET
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
PROFESSIONAL APPRENTICESHIPS LTD
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
You will undertake the ground-breaking Professional Apprenticeships AI and Automation Practitioner Level 4 qualification. Professional Apprenticeships are an Ofsted Outstanding rated provider and also hold the title of Bristol and Bath Apprenticeship Training Provider of the Year for 2021.
The training is delivered using a hybrid model and can be delivered fully remotely if needed. You will have monthly 1-2-1s with your assigned tutor, along with monthly group sessions, where one topic will be covered in detail, and you will have the opportunity to meet and work with all the other apprentices on the course.
In your learning, you will cover:
- Designing and implementing AI and automation solutions
- Ethical and responsible AI practices (fairness, transparency, accountability)
- Data analysis, workflow design, and process optimisation
- Change management and stakeholder engagement
- AI risks, limitations, and governance frameworks
- Testing, evaluation, and continuous improvement of systems
- Communicating technical concepts to non-technical audiences
These modules are designed to jump-start your career and make you stand out in an increasingly competitive field, boosting your future earning potential.
Requirements
Essential qualifications
GCSE in:
- English (grade C/5)
- Maths (grade C/5)
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
About this employer
We are an industry-leading independent Recruitment Agency, born in Bristol, who are now recognised as Global recruitment specialists.
This role offers the chance to build a career at the intersection of recruitment, AI, and automation. You’ll gain hands-on experience with modern tools, learn how to deliver responsible AI solutions in a real business environment, and play a key role in helping teams work smarter and more efficiently.
After this apprenticeship
As your skills and knowledge develop, on successful completion of your apprenticeship, you will have the opportunity to progress into a permanent, progressive role within the team. Previous apprentices have gone far within the company and rest assured, you’ll be encouraged to develop and reach your full potential.
Ask a question
The contact for this apprenticeship is:
PROFESSIONAL APPRENTICESHIPS LTD
The reference code for this apprenticeship is VAC2000026309.
Apply now
Closes in 13 days (Tuesday 28 April 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.