AI Powered Editing Assistant Developer (KTP Associate)

Manchester Metropolitan University; Manchester; On-site; GBP 37,000 - 41,000; Full time

Job summary

An exciting opportunity for a recent graduate to join a Knowledge Transfer Partnership as an AI Powered Editing Assistant Developer. This full-time role involves developing an AI assistant to enhance production efficiency in low-budget television. You will collaborate with industry partners while being supported by an academic team, gaining valuable experience in a dynamic environment.

Benefits

£2,000 per year for personal training

Opportunity to register on a higher degree at reduced cost

70% chance of permanent position after project

Qualifications

• Master's degree or about to obtain in relevant fields.
• PhD in Computer Vision is desirable.
• Hands-on experience with image-to-text models (CLIP, SigLIP).

Responsibilities

• Develop an AI assistant for production and post-production.
• Work closely with Spark Media Partners and their stakeholders.
• Engage in collaborative problem-solving and ethical AI considerations.

Skills

Image/video data processing

Machine Learning

Deep Learning

Computer Vision

Python

Software development

Version control (GitHub)

Documentation skills

Data Science

NLP

Predictive analytics

Generative AI

Problem-solving

Education

Master's degree in Computing, Computer Vision, Data Science

PhD in Computer Vision (desirable)

Tools

GitHub

Job description

Position: AI Powered Editing Assistant Developer (KTP Associate)

Based at: Spark Media Partners, Richmond Upon Thames, Surrey

Salary: £37,000 - £41,000 subject to experience

The role:

An exciting opportunity has become available for a recent graduate to work full time on a 33-month Knowledge Transfer Partnership (KTP) to develop an AI assistant to creatively assist production and post-production to reduce costs and editing time to ensure the long-term survival of low budget television. In which you will be embedded within the company and become familiar with the company structure, key stakeholders and the processes for recording and processing footage comprehensively.

Employed and supported by an academic team from the University, you will be based at Spark Media Partners' premises in Richmond Upon Thames, Surrey. During the project you will work with Spark and their partners, Radiant Post Production Group and Ponder Create.

Company Information:

To find out more about Spark Media Partners, go to https://sparkmedia.tv/

Qualifications we require:

Hold, or be about to obtain, a Master's degree in Computing, Computer Vision, Data Science or a related field.

A PhD in Computer Vision or similar is desirable but not essential.

Application requirements:

• Expertise in image/video data processing, ML, DL and CV.

• Proficiency in Python and standard deep learning libraries.

• Hand on software development and deployment.

• Knowledge of Version control software, such as GitHub.

• Strong documentation, reporting and presentation skills.

• Hands-on experience with image-to-text models (CLIP, SigLIP)

• Strong background in data science, NLP, and predictive analytics.

• Rule-based Generative AI, large datasets and language-based problem-solving.

• Awareness of ethical AI and community engagement.

• Independent and collaborative problem-solving skills.

About KTP:

For 50 years, Knowledge Transfer Partnerships (KTPs) have been helping to innovate for growth by connecting businesses that have an innovation idea with the academic expertise to help deliver it. Currently around 800 businesses, 100 knowledge bases and over 800 graduates are involved in KTPs – collaborative, transformative three-way partnerships creating positive impact and driving innovation.

Benefits:

• £2,000 per year to spend on personal training

• Opportunity to register on a higher degree at a reduced cost

• Opportunity of a permanent position with the company: 70% of host companies make a permanent job offer to their Associate at the end of the project

Application Process:

• For an informal discussion, please contact Dr Xia Cui, [e-mail] or Dr Connah Kendrick, [e-mail]
• Please apply by submitting a CV and a covering letter detailing how you meet the criteria for the role.
• Only applications with a covering letter will be considered.
• Due to the nature of KTP funding, those who have already completed more than 1 year of a KTP are not eligible to apply.