AI Software Engineer Apprentice

VE3

Maidenhead

On-site

GBP 19,000 - 27,000

Full time

14 days+

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Job summary

VE3 Maidenhead invites applications for an AI Engineer Apprentice role. The program is a hands-on training track designed for individuals passionate about artificial intelligence and machine learning, with exposure to data pipelines, model development, and product teams.

You will support the development of data pipelines, machine learning models, and prototype applications, working alongside AI engineers, data scientists, and product teams on real-world solutions.

Qualifications

  • Bachelor’s or Master’s degree (completed) in Computer Science, Data Science, Mathematics, Software Engineering, or related STEM field.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch) and data tooling.
  • Experience with Jupyter Notebooks and version control (Git/GitHub).
  • Familiarity with containerization (Docker) and basic CI/CD concepts.

Responsibilities

  • Assist in collecting, cleaning, validating, and preparing data for training and evaluation.
  • Support design, development, and tuning of ML and deep learning models.
  • Contribute to scalable data pipelines and ML workflows.
  • Conduct experiments, benchmarking, and model diagnostics.
  • Collaborate with backend services and model deployment in dev/test environments.

Skills

Python programming
ML libraries
Jupyter
Git/GitHub
NLP/Computer Vision basics
CI/CD basics
Debugging

Education

Bachelor’s degree in Computer Science
Bachelor’s degree in Data Science
Bachelor’s degree in Mathematics
Bachelor’s degree in Software Engineering
Master’s degree in Computer Science

Tools

Docker
GitHub
CI/CD tools

Job description

VE3 Maidenhead invites applications for an AI Engineer Apprentice role. The program is a hands-on training track designed for individuals passionate about artificial intelligence and machine learning, with exposure to data pipelines, model development, and product teams.

You will support the development of data pipelines, machine learning models, and prototype applications, working alongside AI engineers, data scientists, and product teams on real-world solutions.

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