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.

Training:

Training & Assessment

The Level 6 Digital and technology solutions professional apprenticeship includes formal training aligned to Digital and Technology Solutions Degree. If Functional Skills in English and maths are required, they will be completed as well.

Key elements:

Option for face to face or remote delivery once a week Real-world project portfolios and employer-set assignments End Point Assessment (EPA) involving a project presentation and panel review BSc (Hons) awarded by Lancaster University

Training Outcome:

What You’ll Gain
Practical, on-the-job experience with real AI projects from design to deployment

Structured learning delivered by Blackpool and The Fylde College

Mentorship from senior AI engineers and technical architects

Chartered recognition (where applicable, through the British Computer Society)

A potential pathway to a full-time AI Engineering or Data Science role upon successful completion

Employer Description:
As the digital age storms in the industry, businesses must keep up with the ever-evolving technology by enabling businesses with new age solutions. At VE3, we are committed to helping our clients keep up with the latest technological landscape by delivering innovative solutions that solve their challenges in achieving their best operations and outcomes.

Working Hours :
Monday - Friday 9:00am - 5:00pm

Skills:
Communication skills,IT skills,Attention to detail,Organisation skills,Presentation skills,Analytical skills,Team working,Initiative