Developer/Software Engineer Apprentice
CEVITR LIMITED
Farnborough (GU14 7LP)
Closes in 23 days (Friday 15 May 2026 at 11:59pm)
Posted on 22 April 2026
Contents
Summary
We are looking for a motivated Developer / Software Engineer Apprentice to join our growing team.
This is an exciting opportunity to start a career in automation engineering and AI-powered development, working with technologies such as UiPath, n8n, OpenAI, and Google Gemini.
- Wage
-
£18,000 a year
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
Monday - Friday, 9.00am - 5.30pm
Shifts TBC.
37 hours 30 minutes a week
- Start date
-
Monday 18 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
We are looking for a motivated Apprentice RPA Developer / Software Engineer to join our growing team.
This is an exciting opportunity to start a career in automation engineering and AI-powered development, working with technologies such as UiPath, n8n, OpenAI, and Google Gemini. As part of the role, you will learn how to analyse business processes and develop automation solutions that improve efficiency for our clients
You will gain hands-on experience designing, building, testing, and maintaining automations while being supported by experienced engineers and mentors.
This role is ideal for someone who enjoys problem-solving, learning new technologies, and building real-world software solutions.
Your Responsibilities will include:
- Design and develop automation solutions using platforms such as UiPath and n8n
- Work with AI tools such as OpenAI and Google Gemini to enhance automation capabilities
- Translate business requirements into practical automation workflows
- Analyse client processes to identify opportunities for automation
- Test, validate, and deploy automation solutions
- Investigate and resolve issues in existing automation processes
- Collaborate with colleagues and clients to continuously improve solutions
- Evaluate new technologies and tools within the automation and AI ecosystem
Your Skill Set:
We welcome applicants who are passionate about technology and eager to learn
Desirable skills include:
- An interest in software development, automation, or AI technologies
- Basic knowledge of programming languages (such as Python, JavaScript, or similar)
- Strong analytical and problem-solving abilities
- Good attention to detail
- Excellent communication skills
- The ability to understand and document business processes
What We’re Looking For:
- Passionate about building a career in technology and automation
- Curious about AI and emerging technologies
- Eager to learn and develop new technical skills
- Comfortable working in a collaborative team environment
- Motivated, proactive, and willing to take initiative
What We Offer:
- Structured apprenticeship training and mentoring
- Hands-on experience working with modern automation and AI technologies
- Opportunities to work on real client projects
- A supportive and collaborative team environment
- Clear career progression into Automation Engineer / Software Developer roles
Where you'll work
Westmead House
Westmead
Farnborough
GU14 7LP
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
JUST IT 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 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
- An apprenticeship includes regular training with a college or other training organisation
- At least 20% of your working hours will be spent training or studying
Artificial intelligence (AI) and Automation Practitioner standard Level 4 - You will also receive full training and support from the Leep Talent Apprenticeship team to increase your skills
- Your training will include gaining a Level 4 Artificial intelligence (AI) and Automation Practitioner qualification
Learners can gain these optional exams at the end of the programme:
- AWS Certified AI Practitioner
- Microsoft AI-900 Azure AI Fundamentals
- Microsoft PL-900 Fundamentals
- Awarding Body: Accelerate People
Requirements
Essential qualifications
GCSE in:
- English (grade 4/C +)
- Maths (grade 4/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
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Creative
- Initiative
- Passionate about technology
- Motivated
- Can do attitude
- Willingness to learn
- Curious about AI
- Software
About this employer
Cevitr is a UK-based technology company specialising in Robotic Process Automation (RPA) and AI-powered solutions to businesses of all sizes. We provide digital workmates and consultancy services to empower your workforce, freeing up employees to take on more challenging tasks while managing ever-increasing workloads efficiently. We're committed to delivering game-changing automation solutions that drive your business forward, making RPA & AI technology accessible through our simple business engagement model.
Company benefits
- Company events
- Casual dress
- On-site parking
After this apprenticeship
- Over 90% of our apprentices move on to permanent full-time employment in the tech industry. There are also opportunities to extend your training with a higher-level Apprenticeship Programme
- We have already helped over 1000 people start their tech and digital careers with an apprenticeship
Ask a question
The contact for this apprenticeship is:
JUST IT TRAINING LIMITED
The reference code for this apprenticeship is VAC2000026105.
Apply now
Closes in 23 days (Friday 15 May 2026 at 11:59pm)