Halo Hive
Artificial Intelligence Engineer
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AI Engineer Intern - Computer Vision & Video Understanding
Halo Hive | Newcastle upon Tyne, England | On-site
Help turn real-world skills into knowledge that technology can learn from.
About Halo Hive
Halo Hive is a UK marketplace connecting homeowners with home service professionals. Our Home Passport concept gives each property a digital record of completed repairs, installations and improvements.
Alongside the platform, we’re exploring how first-person video of service work can become structured work records and, over time, useful training data for AI and robotic learning.
We’re looking for an AI Engineer Intern to help investigate that opportunity through focused experiments, thoughtful data handling and working prototypes.
The role
You’ll work directly with Halo Hive’s founder on an applied research project involving video processing and computer vision.
The focus is understanding what happens during a service job: which tools are used, which actions take place and how a task progresses. You’ll explore how AI can extract useful information from footage, evaluate where it succeeds and document where human review remains necessary.
Your core project
Build a reproducible video-processing pipeline and one focused prototype for video summarisation or activity recognition.
You’ll evaluate the prototype against an agreed labelled dataset and produce a short technical report covering results, limitations and recommended next steps. We’ll agree the scope at the start of the internship, based on your experience, available footage and placement length.
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What you’ll do
- Organise, process and annotate first-person video from service work.
- Explore methods for recognising tools, actions and stages of a task.
- Test suitable computer vision or vision-language models against a defined research question.
- Develop a prototype that could help turn footage into structured Home Passport records.
- Assess dataset quality, identify labelling gaps and investigate model errors.
- Maintain clear experiment logs, readable code and reproducible evaluation steps.
- Apply agreed consent, access and privacy requirements throughout the workflow.
- Present findings clearly, including unsuccessful experiments and practical limitations.
What we’re looking for
- Practical Python skills and a foundation in machine learning.
- Familiarity with PyTorch or TensorFlow, alongside OpenCV or similar tools.
- An interest in computer vision, video understanding or robotics.
- Experience using Git and working with APIs and structured datasets.
- An ability to break an open-ended question into manageable experiments.
- Care with testing, documentation and sensitive information.
- Curiosity, initiative and a willingness to ask questions.
University projects, personal experiments and open-source contributions all count. Previous industry experience is not required.
Useful additional experience
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- Video annotation and dataset preparation.
- Vision-language models or multimodal AI APIs.
- Egocentric video, action recognition or temporal segmentation.
- Evaluating model accuracy and analysing failure cases.
- Integrating a small AI feature into a web application.
You do not need experience in every area to apply.
What you’ll gain
- Ownership of a clearly scoped applied AI project.
- Direct collaboration with Halo Hive’s founder.
- Practical experience across data preparation, prototyping and evaluation.
- Insight into how AI research can inform an early-stage product.
- Experience communicating technical findings to support product decisions.
Internship details
- Location: Newcastle upon Tyne, England — on-site.
- Applicants must have the right to work in the UK
How to apply
Apply through LinkedIn with your CV and a short note explaining your interest in the role.
Include a GitHub profile, portfolio or one relevant project if available. Tell us what you built, what your contribution was and one challenge you worked through.
Hiring process
Our proposed process is a short introductory call, followed by a discussion of a relevant project and a conversation with the founder about the internship.
Accessibility
If you need an adjustment to participate in the application or interview process, contact - halodigitalltd@gmail.com
Applicant privacy.
Questions can be directed to akshay@halo-hive.com
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