Software Engineer Degree Apprenticeship

Location: Hybrid (UK-based) Hours: Monday – Friday, 09:00–17:00

Salary: £15,000 per annum

Apprenticeship Standard: ST0119 v1.2 – Digital and Technology Solutions Degree (Software Engineer pathway)

Key Responsibilities

• Model & Data Pipeline Development
• Assist in collecting, cleaning, validating, and preparing data for training and evaluation.
• Support the design, development, and tuning of machine learning and deep learning models.
• Contribute to scalable and reusable data pipelines using modern ML workflows.

Experimentation & Evaluation

• Conduct experiments and benchmarking exercises to test model performance.
  Perform error analysis, feature importance, and other model diagnostics.
  Track and log training/testing outcomes to support reproducibility and model versioning.

Engineering Contributions

• Help build and integrate AI-powered APIs, scripts, and microservices.
• Collaborate on backend services and model deployment in dev/test environments.
• Use Git, CI/CD tools, and containerization (e.g., Docker) to maintain codebase quality.

Applied AI Domains

• Work on projects that involve Natural Language Processing (NLP), Computer Vision, Generative AI, or Recommendation Systems.
• Support annotation, feature engineering, and augmentation tasks where necessary.

Documentation & Collaboration

• Write clear, well-organized documentation for code, models, datasets, and project workflows.
• Participate in team meetings, sprint planning, and code reviews.
  Engage with mentors to reflect on progress, set learning goals, and track outcomes.

• Communication skills
• IT skills
• Attention to detail
• Organisation skills
• Presentation skills
• Analytical skills
• Team working
• Initiative

• Basic Maths Other, grade n/a (Desired)
• Standard English Other, grade n/a (Desired)