Software Engineer Apprentice

Data Controller, VE Ltd; Maidenhead; Hybrid; GBP 21,000 - 24,000; Full time

Job summary

VE3 Maidenhead is seeking a Software Engineer Apprentice to join our AI team. You will support the development of data pipelines, machine learning models, and prototype applications, working with experienced AI engineers and product teams.

This full-time role is intended for recent graduates or final-year students (0–2 years experience) and offers hands-on training across NLP, computer vision, generative AI, and related projects in a collaborative environment.

Qualifications

• A Bachelor’s or Master’s degree (completed) in Computer Science, Data Science, Mathematics, Software Engineering or related STEM field.
• Experience with Python and ML libraries is expected.
• Familiarity with ML workflows and data pipelines is preferred.

Responsibilities

• 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.
• Conduct experiments and benchmarking to test model performance.
• Perform error analysis, feature importance, and model diagnostics.
• Track and log training/testing outcomes for reproducibility and versioning.
• Help build 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 code quality.
• Work on NLP, Computer Vision, Generative AI, or Recommendation Systems projects.

Skills

Python

TensorFlow

PyTorch

Jupyter Notebooks

Git

CI/CD

Docker

Data analysis

Education

BSc Computer Science

MSc Data Science

BSc Mathematics

BSc Software Engineering

Tools

Docker

CI/CD

GitHub

Job description

Maidenhead, United Kingdom

VE3 is a technology and business consultancyfocused on delivering end-to-end technology solutions and products. We havesuccessfully serviced enterprises across multiple markets, including the publicand private sectors. Our services span all aspects of business, providing aholistic approach to managing an organization. We are committed to providingtechnical innovations and tools that empower organizations with criticalinformation to facilitate decision-making that results in businesstransformation through cost savings and increased operational efficiency. Ourcommitment to quality is adopted throughout the organization and sets thefoundation for delivering our full suite of capabilities.

Job Description

Job Title: Software Engineer Apprentice

Position Type: Full-time

Experience Level: 0-2 years

Job Purpose

The AI Engineer Apprenticeship is an advanced, hands-on training programme designed for individuals passionate about artificial intelligence and machine learning. Whether you are a recent graduate or in your final year of studies, this role offers the opportunity to work alongside seasoned AI engineers, data scientists, and product teams, contributing to the development of real-world AI solutions.

You will support the development of data pipelines, machine learning models, and prototype applications.

Requirements

Key Responsibilities

• 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.
  
• 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.
  
• 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.
  

Required Qualifications

A Bachelor’s or Master’s degree (completed) in:

Computer Science

Data Science

Mathematics

Software Engineering

Or a related STEM field

Core Skills & Competencies

Technical Skills

• Programming proficiency in Python and common ML libraries such as:
  
• TensorFlow, PyTorch, or similar
  
• Experience with Jupyter Notebooks and version control (Git/GitHub)
  
• Basic understanding of supervised/unsupervised learning, neural networks, or clustering
  

Analytical Abilities

• Ability to interpret data trends, visualize outputs, and debug model behaviour.