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- Tasks: Develop an AI assistant to streamline editing in low-budget TV production.
- Company: Join Spark Media Partners, a dynamic player in the media industry.
- Benefits: Enjoy £2,000 yearly for personal training and potential permanent job offers.
- Why this job: Gain hands-on experience with cutting-edge AI technology and collaborate with industry experts.
- Qualifications: Master’s degree in Computing or related field; expertise in ML, DL, and CV required.
- Other info: This is a 33-month KTP role with opportunities for further education.
The predicted salary is between 36000 - 60000 £ per year.
AI Powered Editing Assistant Developer (KTP Associate) 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. Hands-on experience with 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. Knowledge of rule-based Generative AI, large datasets, and language-based problem-solving. Awareness of ethical AI and community engagement. Independent and collaborative problem-solving skills. Additional benefits include: £2,000 per year to spend on personal training. Opportunity to register for a higher degree at a reduced cost. Potential for a permanent position: 70% of host companies offer a permanent job to their Associate at the end of the project. This is an exciting 33-month Knowledge Transfer Partnership (KTP) opportunity for a recent graduate to develop an AI assistant aimed at reducing costs and editing time in low-budget television production and post-production. You will be embedded within the company, gaining insight into its structure, stakeholders, and processes for recording and processing footage. Supported by an academic team from the University, you will be based at Spark Media Partners’ premises in Richmond Upon Thames, Surrey, working with Spark, Radiant Post Production Group, and Ponder Create. About the business To learn more about Spark Media Partners, visit https://sparkmedia.tv/ #J-18808-Ljbffr
AI Powered Editing Assistant Developer (KTP Associate) employer: The Knowledge Transfer Network Limited
Contact Detail:
The Knowledge Transfer Network Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Powered Editing Assistant Developer (KTP Associate)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, particularly in the context of video editing. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your hands-on experience with image-to-text models like CLIP or SigLIP. If you have any personal projects or contributions on platforms like GitHub, make sure to highlight these as they demonstrate your practical skills and initiative.
✨Tip Number 3
Network with professionals in the field of AI and video production. Attend relevant meetups or webinars, and connect with people from Spark Media Partners or similar companies on LinkedIn to gain insights and potentially get referrals.
✨Tip Number 4
Prepare to discuss ethical AI and community engagement during your interview. Being able to articulate your understanding of these topics will show that you are not only technically skilled but also socially aware, which is crucial in today’s tech landscape.
We think you need these skills to ace AI Powered Editing Assistant Developer (KTP Associate)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences related to AI, image/video data processing, and software development. Emphasise your proficiency in Python and any hands-on experience with deep learning libraries.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your expertise in machine learning, computer vision, and collaborative problem-solving.
Showcase Relevant Projects: If you have worked on projects involving image-to-text models or generative AI, be sure to include these in your application. Provide links to your GitHub or portfolio to showcase your coding skills and project outcomes.
Highlight Soft Skills: Don’t forget to mention your strong documentation, reporting, and presentation skills. These are crucial for the role, so provide examples of how you've successfully communicated complex ideas in previous experiences.
How to prepare for a job interview at The Knowledge Transfer Network Limited
✨Showcase Your Technical Skills
Make sure to highlight your expertise in image/video data processing, machine learning, and deep learning during the interview. Be prepared to discuss specific projects or experiences where you applied these skills, especially using Python and relevant libraries.
✨Demonstrate Problem-Solving Abilities
Since the role requires independent and collaborative problem-solving skills, come prepared with examples of challenges you've faced in previous projects. Discuss how you approached these problems and the outcomes, showcasing both your analytical and creative thinking.
✨Familiarise Yourself with Ethical AI
Given the importance of ethical AI in today's tech landscape, be ready to discuss your understanding of ethical considerations in AI development. This could include topics like bias in algorithms or the impact of AI on society, which will show your awareness and commitment to responsible AI practices.
✨Prepare for Questions on Community Engagement
As community engagement is a part of the role, think about how you can contribute to the company’s outreach efforts. Prepare to discuss any past experiences you have had with community projects or initiatives, and how you envision applying those experiences in this new role.
