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- Tasks: Join us as a Software Engineer Apprentice, working on AI solutions and machine learning projects.
- Company: VE3 is a leading tech consultancy transforming businesses with innovative technology solutions.
- Benefits: Enjoy hybrid work options, mentorship, and hands-on experience in a dynamic environment.
- Why this job: Gain real-world experience while learning from industry experts in AI and data science.
- Qualifications: Must have a degree in a STEM field and be eligible for an AI/ML apprenticeship.
- Other info: Work on exciting projects in NLP, Computer Vision, and more while developing your skills.
Level: 6 (Degree) or 7 (Postgraduate)
Location: Hybrid (London-based)
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 while receiving structured academic instruction and mentorship. The programme combines practical work experience with formal training aligned with national apprenticeship standards for Artificial Intelligence (Level 6) or Data Science (Level 7).
Requirements
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.
Required Qualifications
- A Bachelor’s or Master’s degree (completed or ongoing) in:
- Computer Science
- Artificial Intelligence
- Data Science
- Mathematics
- Software Engineering
- Or a related STEM field
- Eligibility to enrol on a Level 6 or Level 7 AI/ML/Data Science apprenticeship programme.
Core Skills & Competencies
Technical Skills
- Programming proficiency in Python and common ML libraries such as:
- Pandas, NumPy, Scikit-learn
- 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
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Software Engineer Apprentice employer: VE3
Contact Detail:
VE3 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer Apprentice
✨Tip Number 1
Familiarise yourself with the latest trends in artificial intelligence and machine learning. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Engage in hands-on projects that demonstrate your programming skills, particularly in Python and ML libraries like TensorFlow or PyTorch. Create a portfolio showcasing your work, including any data pipelines or machine learning models you've developed, as this can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and tech community. Attend meetups, webinars, or workshops related to AI and machine learning. Building connections can lead to valuable insights and potential referrals for the apprenticeship position.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.
We think you need these skills to ace Software Engineer Apprentice
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to software engineering, artificial intelligence, and machine learning. Include any projects or coursework that demonstrate your programming proficiency in Python and familiarity with ML libraries.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning. Explain why you are interested in the apprenticeship at VE3 and how your background aligns with their mission of delivering technology solutions.
Showcase Relevant Projects: If you've worked on any projects involving data pipelines, machine learning models, or AI applications, be sure to include these in your application. Provide links to your GitHub or any online portfolio where potential employers can see your work.
Highlight Your Learning Goals: In your application, mention specific skills or knowledge areas you hope to develop during the apprenticeship. This shows your commitment to growth and aligns with the mentorship aspect of the programme.
How to prepare for a job interview at VE3
✨Showcase Your Technical Skills
Be prepared to discuss your programming proficiency in Python and any experience you have with ML libraries like TensorFlow or PyTorch. Bring examples of projects you've worked on, especially those involving data pipelines or machine learning models.
✨Demonstrate Your Passion for AI
Express your enthusiasm for artificial intelligence and machine learning during the interview. Share any personal projects, coursework, or relevant experiences that highlight your commitment to the field.
✨Prepare for Technical Questions
Expect questions related to supervised and unsupervised learning, neural networks, and clustering. Brush up on these concepts and be ready to explain them clearly, as well as how you've applied them in your studies or projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the apprenticeship programme, team dynamics, and the types of projects you'll be working on. This shows your interest in the role and helps you assess if it's the right fit for you.
