AI Solutions Apprentice

PEAK SIGNAL LIMITED

Recruiting nationally

Closes in 26 days (Thursday 21 August 2025)

Posted on 24 July 2025

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Contents

Summary

We are looking for someone who already has a strong technical foundation in AI and Machine Learning, whether you’ve gained it through self-study, previous work or hands-on projects and who is ready to apply this to practical, real-world challenges in a highly innovative environment.

Wage

£30,000 a year

Check minimum wage rates (opens in new tab)

up to £30,000 per annum

Training course
Data scientist (integrated degree) (level 6)
Hours
Days and shifts to be confirmed.

40 hours a week

Start date

Thursday 28 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

  • Support the design, prototyping and testing of AI-driven solutions across our client and internal innovation projects.
  • Conduct applied research into new tools, frameworks and use cases for LLMs, agentic AI, speech technologies and other areas of client interest.
  • Translate user needs and organisational goals into technical experiments and proofs of concept.
  • Help deliver user-facing tools or backend services, contributing code, documentation and testing.
  • Participate in workshops, stakeholder engagement and project delivery.
  • Engage in structured academic learning and apply insights to practical work throughout the apprenticeship.

Where you'll work

This vacancy is fully remote.

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, well-being, and readiness for assessments.

Requirements

Desirable qualifications

A Level in:

2 including Maths (grade B or higher)

Degree in:

Relevant subject (grade First)

Other in:

  • Similar subject (grade Level 3)
  • Similar subject (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

  • IT skills
  • Problem solving skills

About this employer

Peak Signal is a boutique consultancy working in the broadcast, media, arts and culture sectors supporting organisations design better solutions and services, improve efficiency and drive meaningful change through user-centred design, innovation and business process optimisation. Although we are a very small consultancy, we have a number of prestigious customers who are at the forefront of exploring how AI can be harnessed to drive innovation within their businesses. As a key partner to them, we provide thought leadership and expert input to augment our customers’ thinking - and we need to ensure our team has the underpinning skills and expertise to bring novel solutions to the table. Our apprentice will be key to this. Benefits: • A fully funded qualification through a recognised UK apprenticeship programme (Level 6 equivalent to Bachelors Degree). • Experience working with prestigious clients across the broadcast, media and creative sectors. • Mentorship from senior business practitioners. • A flexible, inclusive working environment with genuine opportunity to shape the direction of your work. • The chance to work on projects that blend cutting-edge technology with human impact.

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 VAC1000333729.

Apply now

Closes in 26 days (Thursday 21 August 2025)

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