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2027 AI Engineer Apprentice

Description

Turn your curiosity into a career. If you're passionate about artificial intelligence, eager to learn, and looking for a degree apprenticeship that combines academic study with exciting on-the-job experience, we'd love to hear from you.

Benefits of the programme:

  • Earn a salary while studying for your qualification
  • Gain hands-on experience in a real AI and engineering environment
  • Receive job-specific training and development
  • Achieve a recognised qualification
  • Secure a permanent role from the start of your apprenticeship
  • Have your university tuition fees fully paid

\u00A0About the Role:

  • As an AI Engineer Apprentice, you will develop the technical knowledge, practical skills and professional behaviours needed to design, build, test and deploy dependable AI-enabled solutions.
  • Working as part of our AI and engineering community, you will contribute to live projects across the machine learning lifecycle, collaborating with software, data, systems and domain specialists to turn needs into secure, maintainable solutions.

Your responsibilities may include:

  • Preparing, exploring and validating data for machine learning use cases
  • Developing and evaluating machine learning models and AI-enabled software components
  • Writing clean, tested and documented code using appropriate engineering tools and practices
  • Supporting model integration, deployment, monitoring and performance improvement
  • Contributing to technical reviews, experiments and structured problem solving

Working with experienced engineers and researchers on live projects Throughout the apprenticeship, you will gain experience and knowledge in:

  • Professional engineering behaviours, teamwork and industry best practice
  • Programming, software engineering, version control and automated testing
  • Data preparation, feature engineering and data quality techniques
  • Machine learning methods, model selection, training and evaluation
  • Deployment patterns, MLOps, monitoring and lifecycle management
  • Cloud, compute and development tools used to deliver AI solutions
  • Responsible AI, security, privacy, safety and regulatory considerations
  • Structured approaches to troubleshooting, experimentation and continuous improvement

\u00A0Degree Apprenticeship Programme:

You will study towards an AI and Data Science Graduate Level Apprenticeship qualification with Glasgow Caledonian University, developing the knowledge, skills and behaviours required to build and apply artificial intelligence responsibly in an engineering environment.

The programme is delivered through a blended learning approach, combining:

  • On campus study
  • Live virtual lectures
  • Online learning resources

Self-directed study To apply, you will need:

Highers:

  • 96 UCAS points
  • Four Highers (BBCC) including Maths or Computing
  • A foundation apprenticeship will be equal to one Higher at B
  • A modern apprenticeship SCQF Level 6 in a relevant discipline will be equal to two Highers at B
  • To be considered for this position, you must have the permanent right to work in the UK and be able to successfully complete and maintain UK Government security checks, including Baseline Personnel Security Standard (BPSS) screening and Security Clearance (SC), which is a government background check, before starting employment.
  • \u00A0To be eligible for SC clearance, you will typically need to have lived in the UK continuously for the last five years. As part of the vetting process, you will be asked to provide evidence of your identity, right to work in the UK, any time spent overseas during the last five years, and your employment and/or education history.
  • For further details of the evidence required to apply for security clearance please follow this link -https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels/national-security-vetting-clearance-levels.

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