AI Engineer Degree Apprentice
ENVERA TELECOMMUNICATIONS LIMITED
Market Harborough (LE16 9PE)
Closes in 23 days (Friday 22 August 2025)
Posted on 29 July 2025
Contents
Summary
The AI Engineer Level 6 programme helps businesses embrace AI-driven transformation by developing specialists with the skills to design, build, and deploy Generative AI and Machine Learning solutions.
- Wage
-
£20,000 a year
- Training course
- Data scientist (integrated degree) (level 6)
- Hours
-
Days and shifts to be confirmed.
37 hours 30 minutes a week
- Start date
-
Friday 29 August 2025
- Duration
-
1 year 11 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
- Assess client needs and implement tailored AI-driven workflows using tools like ChatGPT, Claude, and Botpress.
- Automate business processes with platforms like Zapier to enhance efficiency.
- Troubleshoot, optimise, and improve AI and automation systems for better performance.
- Manage and enhance Envera's internal AI systems, including customer interaction bots.
- Support AI project planning, ensuring smooth deployment and integration of new technologies.
- Stay updated on emerging AI trends and contribute ideas for new automation solutions.
- Demonstrate problem-solving skills, analytical thinking and a strong interest in AI and automation.
Where you'll work
56 Nithsdale Avenue
Market Harborough
LE16 9PE
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
QA LIMITED
Training course
Data scientist (integrated degree) (level 6)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Identify and clarify problems an organisation faces, and reformulate them into Data Science problems. Devise solutions and make decisions in context by seeking feedback from stakeholders. Apply scientific methods through experiment design, measurement, hypothesis testing and delivery of results. Collaborate with colleagues to gather requirements.
- Perform data engineering: create and handle datasets for analysis. Use tools and techniques to source, access, explore, profile, pipeline, combine, transform and store data, and apply governance (quality control, security, privacy) to data.
- Identify and use an appropriate range of programming languages and tools for data manipulation, analysis, visualisation, and system integration. Select appropriate data structures and algorithms for the problem. Develop reproducible analysis and robust code, working in accordance with software development standards, including security, accessibility, code quality and version control.
- Use analysis and models to inform and improve organisational outcomes, building models and validating results with statistical testing: perform statistical analysis, correlation vs causation, feature selection and engineering, machine learning, optimisation, and simulations, using the appropriate techniques for the problem.
- Implement data solutions, using relevant software engineering architectures and design patterns. Evaluate Cloud vs. on-premise deployment. Determine the implicit and explicit value of data. Assess value for money and Return on Investment. Scale a system up/out. Evaluate emerging trends and new approaches. Compare the pros and cons of software applications and techniques.
- Find, present, communicate and disseminate outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Use the best medium for each audience, such as technical writing, reporting and dashboards. Visualise data to tell compelling and actionable narratives. Make recommendations to decision makers to contribute towards the achievement of organisation goals.
- Develop and maintain collaborative relationships at strategic and operational levels, using methods of organisational empathy (human, organisation and technical) and build relationships through active listening and trust development.
- Use project delivery techniques and tools appropriate to their Data Science project and organisation. Plan, organise and manage resources to successfully run a small Data Science project, achieve organisational goals and enable effective change.
Training schedule
Why choose the AI Engineer apprenticeship?
As Generative AI shifts from novelty to necessity, a new breed of AI engineers are required.
The AI Engineer programme helps businesses embrace AI-driven transformation by developing specialists with the skills to design, build, and deploy Generative AI and Machine Learning solutions.
AI Engineer apprentices will empower organisations to:
- Drive AI innovation
- Optimise business processes
- Enhance decision-making
The AI Engineer programme integrates live and online workshops with self-paced learning, employing a guided discovery approach for individual learner contexts.
Learners are assigned a Digital Learning Consultant (DLC) for personalised coaching and support. These specialists ensure their successful progress, wellbeing, and readiness for assessments.
Requirements
Desirable qualifications
A Level in:
Other in:
- Similar (grade Level 4 or 5)
- Similar (grade Level 3)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Problem solving skills
- Analytical skills
About this employer
At Envera, our mission goes beyond technology — we’re about genuinely transforming how businesses operate and helping people thrive. We help businesses stay ahead by implementing AI-powered automation, intelligent phone systems, full business software, and broadband — all integrated in a way that actually works for the people using them, making their daily work more meaningful and less stressful. We specialize in creating smart, human-led technology solutions that save time, reduce admin, and increase business performance. But here’s what sets us apart: we truly listen to our clients’ challenges and design solutions around their real needs, not just what’s trendy. Our clients don’t just want flashy tools — they want outcomes that improve their teams’ lives and business success. That’s what we deliver.
Company benefits
• Regular pay reviews. • Learning and development options. • Free parking. • Team/individual incentives. • Health benefit options.
After this apprenticeship
90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average.
Ask a question
The contact for this apprenticeship is:
QA LIMITED
The reference code for this apprenticeship is VAC1000333922.
Apply now
Closes in 23 days (Friday 22 August 2025)
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