Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Explore and prototype cutting-edge Gen AI technologies to drive innovation.
- Company: Join Brahma, a pioneering enterprise AI company within the DNEG Group.
- Benefits: Full-time role with opportunities for growth in a creative tech environment.
- Why this job: Be at the forefront of AI innovation and collaborate with industry leaders.
- Qualifications: Experience in generative models, Python, and a passion for AI communities.
- Other info: Dynamic team culture with a focus on creativity and collaboration.
The predicted salary is between 28800 - 48000 £ per year.
Brahma is a pioneering enterprise AI company developing Astras, AI-native products built to help enterprises and creators innovate at scale. Brahma enables teams to break creative bottlenecks, accelerate storytelling, and deliver standout content with speed and efficiency. Part of the DNEG Group, Brahma brings together Hollywood’s leading creative technologists, innovators in AI and Generative AI, and thought leaders in the ethical creation of AI content.
Gen AI Innovation specialists are experts in Audiovisual Generative AI with active engagement in its surrounding communities. They are responsible for identifying and evaluating cutting-edge technologies and workflows, across both open and closed-source ecosystems, and independently prototyping POC implementations aligned with the company’s needs. This team operates at the intersection of research and product/creative teams, functioning as an applied extension of the research group.
Key Responsibilities
- Identify and evaluate cutting-edge GenAI technologies and workflows across open and closed-source.
- Prototype proof-of-concept implementations aligned with company needs.
- Act as the first point of contact for implementing and testing in-house research developments.
- Offer research teams valuable context and informed proposals by leveraging product and creative insights.
- Build scalable ComfyUI workflows and help maintain a shared, evolving ComfyUI environment.
- Work as part of a multi-disciplinary team to deliver across projects and products.
- Clearly present research findings to developers and creatives, highlighting strengths, weaknesses, and examples.
Must Haves
- Professional experience testing and training photoreal generative models, ideally with a focus on video applications.
- Comfortable setting up testing environments for model inference and training.
- Confident with Conda, git, dependency management, and have enough Python/PyTorch knowledge to adapt code to specific requirements.
- Proven experience at effectively implementing existing tools and techniques into wider custom pipelines and workflows.
- Comfortable managing large training datasets.
- Deep understanding of the effects captioning, curating and enhancing them has on the trained model.
- Comfortable tweaking model tuning hyperparameters, with an understanding of the effects these have on the trained model.
- Experience collaborating with developers (research teams as a bonus).
- Very proficient in ComfyUI.
- Deep engagement and awareness of the Gen AI communities and offerings, across both open and closed-source spaces.
- Comfortable independently researching specific topics, gathering and clearly presenting findings to both developers and creatives - highlighting key strengths, weaknesses, backed by relevant examples.
- Comfortable onboarding and training artists from other disciplines to expand the wider Gen AI artist group.
Nice to Have
- Prior role in a research or RnD-focused environment.
- Professional background either as a creative or a developer in a visual field such as VFX, visual arts, or a visually-driven tech company.
Seniority level: Entry level
Employment type: Full-time
Job function: Product Management and Marketing
Industries: Animation and Post-production and Movies, Videos, and Sound
Gen AI Specialist in London employer: DNEG
Contact Detail:
DNEG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Specialist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the Gen AI community, attend meetups, and engage on platforms like LinkedIn. The more connections you make, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with generative AI, especially any projects related to video applications. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and PyTorch skills, and get comfortable with tools like ComfyUI. Being confident in these areas will set you apart during interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the DNEG team.
We think you need these skills to ace Gen AI Specialist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application for the Gen AI Innovation Specialist role. Highlight your experience with generative AI technologies and workflows, and show us how your skills align with what we're looking for.
Showcase Your Projects: Include examples of your previous work, especially any proof-of-concept implementations you've done. We want to see how you've tackled challenges in the past and what innovative solutions you've come up with!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experiences and insights, especially when discussing technical aspects. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at DNEG
✨Know Your Gen AI Stuff
Make sure you brush up on the latest trends and technologies in Generative AI. Familiarise yourself with both open and closed-source ecosystems, as well as any recent advancements in photoreal generative models. This will not only show your passion but also help you engage in meaningful discussions during the interview.
✨Showcase Your Prototyping Skills
Be ready to discuss your experience with prototyping proof-of-concept implementations. Prepare examples of past projects where you’ve successfully implemented tools and techniques into custom workflows. Highlight how you approached challenges and what the outcomes were.
✨Communicate Clearly
Since you'll be presenting research findings to both developers and creatives, practice explaining complex concepts in simple terms. Use clear examples to illustrate your points, and be prepared to discuss the strengths and weaknesses of different approaches you've encountered.
✨Engage with the Community
Demonstrate your active engagement in the Gen AI community. Share insights from forums, conferences, or any collaborative projects you've been involved in. This shows that you're not just knowledgeable but also passionate about contributing to the field.
