AI Engineer Intern: Vision & Multimodal ML in Field Ops

Aspect; Greater London; On-site; GBP 15,000 - 20,000; Full time

Job summary

Aspect, one of London's largest property maintenance teams, seeks an AI Engineer Intern to work on real-world computer vision and multimodal AI projects within the Data & AI team. You will gain hands-on experience with modern vision models, embeddings, and production‑oriented software development.

You will research, prototype, and evaluate approaches using Python, PyTorch, OpenCV, and AI APIs, handling image and video data with guidance from mentors.

Qualifications

• Fundamentals of ML and deep learning are expected.
• Experience with computer vision through projects or internships is desirable.
• Familiarity with PyTorch, TensorFlow, OpenCV, scikit-learn or Hugging Face.

Responsibilities

• Research and prototype AI solutions for computer vision and multimodal tasks.
• Build and evaluate models using Python, PyTorch, OpenCV, and AI APIs.
• Work with image/video data, including preprocessing and labeling.
• Experiment with image classification, object detection, segmentation, OCR.
• Develop evaluation frameworks for accuracy, latency and cost.
• Collaborate with cross-functional teams to translate problems into AI solutions.

Skills

ML fundamentals

CV basics

Tools

PyTorch

TensorFlow

OpenCV

scikit-learn

Hugging Face

Job description

Aspect, one of London's largest property maintenance teams, seeks an AI Engineer Intern to work on real-world computer vision and multimodal AI projects within the Data & AI team. You will gain hands-on experience with modern vision models, embeddings, and production‑oriented software development.

You will research, prototype, and evaluate approaches using Python, PyTorch, OpenCV, and AI APIs, handling image and video data with guidance from mentors.