AI and Automation Practitioner Apprenticeship
WALKER LOVELL LTD
HYDE (SK14 2BJ)
Closes on Thursday 13 August 2026
Posted on 8 July 2026
Contents
Summary
Join Walker Lovell, a close-knit, family-founded global recruitment firm. We are looking for an organized, proactive apprentice to support our international consultants while mastering cutting-edge tech.
- Wage
-
£15,600 a year
Minimum wage rates (opens in new tab)
Pay: £15,600.00-£21,500.00 per year dependant on various factors such age / experience etc.
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
Weekly working pattern:
Monday - Thursday: 08:00 - 16:30 with 1-hour lunch break.
Friday: 08:00 - 13:30, no lunch break (option to have a 1-hour lunch break and finish at 14:00)
35 hours 30 minutes a week
- Start date
-
Friday 14 August 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
About the role:
We are looking for a highly organised and proactive Recruitment Administration & Operations Apprentice to support our recruitment consultants with the day-to-day coordination and administration involved in delivering recruitment projects for clients around the world.
This is an excellent opportunity for someone looking to start a career in AI, recruitment, business administration or operations. You will gain hands-on experience working closely with experienced consultants while learning how recruitment projects are managed from initial client engagement through to successful placement.
You will work with a range of digital tools and Al-powered systems, with a key part of the role involving reviewing, checking and validating information to ensure accuracy.
Key responsibilities:
Job Advert Management:
- Create, edit and publish job advertisements across our website and LinkedIn
- Refresh and repost advertisements to maintain visibility
- Test different advert formats and wording to improve candidate attraction
- Ensure all vacancies are accurately represented and kept up to date
Recruitment Database Management:
- Create and maintain accurate client, contact and vacancy records upload and organise job descriptions, client information & supporting documents
- Ensure all recruitment records are complete and up to date
- Record updates from client meetings, emails and feedback discussions
- Maintain candidate records throughout the recruitment process
- Monitor data quality and highlight missing information to consultants
Reporting & Administration:
- Produce regular reports for internal and external purposes
- Track recruitment activity and progress across live assignments
- Support the team in maintaining accurate business information
Business Development - Support:
- Draft follow-up emails following meetings and conversations
- Prepare client documents and presentations
- Assist with the creation of commercial proposals and supporting materials
- Support consultants with administrative tasks related to winning new business
Recruitment Technology & Al Support:
- Assist in managing Al-powered recruitment tools
- Review and validate information generated by Al systems
- Help ensure recruitment technology is producing accurate and relevant outputs
- Support continuous improvement of internal recruitment processes
Candidate & Client Coordination:
- Coordinate interviews between candidates and clients
- Arrange interview schedules and calendar invitations
- Send interview confirmations
- Create interview preparation information
- Draft interview feedback summaries and follow-up communications
- Request and compile employment references
- Conduct follow-up calls to keep candidates informed and engaged
- Support consultants with administrative follow-up after client meetings
What you’ll learn:
During the apprenticeship, you will develop skills in:
- Business administration
- Recruitment operations
- Client and candidate communication
- Data management, reporting and business systems
- Professional writing and document preparation
- Al and recruitment technology
- Project coordination and organisation
- Commercial awareness
You will gain exposure to working with:
- Global clients ranging from start-ups to multinational organisations
- Professionals at all levels, from early-career candidates through to senior executives and leadership teams
- A variety of industries, technical disciplines and international markets
- Candidates and clients across Europe, North America, Asia and other global regions
- Complex recruitment projects involving multiple stakeholders and international hiring processes
Where you'll work
WHARFINGERS HOUSE
MANCHESTER ROAD
HYDE
SK14 2BJ
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
1ST2 ACHIEVE TRAINING 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 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
This is an AI & Automation Level 4 Apprenticeship.
All training will take place at the workplace via tutor led monthly sessions.
During the apprenticeship, you will develop skills in:
- Business administration
- Recruitment operations
- Client and candidate communication
- Data management, reporting and business systems
- Professional writing and document preparation Al and recruitment technology
- Project coordination and organisation
- Commercial awareness
You will gain exposure to working with:
- Global clients ranging from start-ups to multinational organisations
- Professionals at all levels, from early-career candidates through to senior executives and leadership teams
- A variety of industries, technical disciplines and international markets
- Candidates and clients across Europe, North America, Asia and other global regions
- Complex recruitment projects involving multiple stakeholders and international hiring processes
Requirements
Essential qualifications
GCSE 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
- Customer care skills
- Problem solving skills
- Analytical skills
- Logical
- Team working
- Initiative
About this employer
About Walker Lovell
Founded in 2012 by a team of four siblings (Daniel, David, Matthew and Rebecca), Walker Lovell is a global recruitment company supporting several niche, specialised industries. Over the years, the core of our team has grown alongside the business, with many members choosing to stay and develop with us. This longevity reflects the supportive and close-knit culture we've cultivated, creating a workplace where you can achieve both your professional and life goals.
Why Join Walker Lovell?
We provide the support, recognition, and tools you need to thrive in your role.
Benefits include -
- 20 days of annual leave, plus Bank Holidays and a 10-day Christmas break.
- Additional day annual leave for every year's complete service up to 25 days
- Early Friday finishes, start your weekend at 1.30pm!
- Quarterly events for the entire team
- Private BUPA healthcare (post apprenticeship)
- Onsite gym facilities
- Comprehensive training and ongoing development to ensure your success.
- Birthday gift from the Director's
- Casual dress policy
- Free parking
- Advanced Al assistance.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Future Career Progression:
This apprenticeship is designed to provide a strong foundation for a long-term career within AI & recruitment and professional services.
As your experience grows, you may progress into responsibilities such as:
- Managing recruitment administration across multiple consultants
- Reviewing and responding to candidate applications
- Taking ownership of recruitment projects and processes
- Supporting candidate sourcing activities
- Progressing into a Recruitment Delivery role
Ask a question
The contact for this apprenticeship is:
1ST2 ACHIEVE TRAINING LIMITED
Amy
amy@1st2achieve.co.uk
The reference code for this apprenticeship is VAC2000040838.
Apply now
Closes on Thursday 13 August 2026