At a Glance
- Tasks: Train and fine-tune GenAI models to create hyperrealistic synthetic media.
- Company: Join a cutting-edge company pushing the boundaries of synthetic media.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on creativity and technical excellence.
- Why this job: Be at the forefront of AI innovation and make a real impact in media creation.
- Qualifications: Experience with generative model training and strong dataset skills required.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a GenAI Model Artist who specialises in training, fine-tuning, and deploying generative AI models to create hyperrealistic synthetic media. This role focuses on diffusion/generative workflows, identity preservation, controllability, realism, and (when relevant) temporal consistency for sequences. You will work closely with developers, VFX artists, and AI teams to push the boundaries of synthetic media and enhance the performance of our proprietary tools.
Responsibilities
- Train and fine‑tune GenAI models to generate hyperrealistic synthetic media (image and/or video).
- Curate and prepare datasets specifically for generative training (identity coverage, lighting/pose balance, captioning/metadata, filtering, de‑duplication).
- Improve realism and likeness by iterating on fine‑tuning strategy (adapters/LoRA‑style approaches, full fine‑tunes where needed), and systematic evaluation.
- Diagnose and solve generative failure modes (identity drift, artifacts, texture issues, uncanny results, overfitting to subjects, prompt/conditioning sensitivity).
- Manage multiple training runs and track progress (prompt/eval sets, side‑by‑side comparisons, regression checks, experiment logs).
- Critically evaluate results with a focus on facial likeness, realism, consistency, and “production‑readiness.”
- Collaborate with R&D to innovate GenAI training techniques and integrate practical improvements into workflows.
- Stay current on emerging GenAI research, tools, and workflows; prototype creative implementations.
- Work with data scientists, software engineers, and product managers to translate creative/production needs into technical solutions.
- Monitor and optimise model performance for efficiency and quality (inference speed, VRAM, throughput, consistency).
Must Have
- Proven experience with generative model training/fine‑tuning (Stable Diffusion‑family or similar; diffusion/GAN/transformer‑based generative).
- Strong dataset skills for GenAI (curation, balancing, subject coverage, filtering, evaluation sets).
- Familiarity with UNIX/Linux environments and GPU training workflows.
- Critical eye for facial likeness and visual quality; able to judge and explain issues clearly.
- Excellent teamwork and communication skills.
- Strong problem‑solving and out‑of‑the‑box thinking.
- Calm under pressure and able to meet deadlines.
Nice to Have
- VFX or compositing experience (Nuke or similar), especially facial/beauty integration.
- Python + ML engineering experience (training automation, data pipelines, evaluation tooling).
- Experience with face‑swap systems and face workflows.
Gen AI Model Artist in London employer: DNEG
At DNEG, we pride ourselves on being an exceptional employer, particularly for those passionate about digital Creature technology. Our collaborative work culture fosters creativity and innovation, allowing Software Developers to thrive while working alongside talented artists and technologists in a dynamic environment. With a commitment to employee growth and development, we offer opportunities to influence cutting-edge VFX and animation technologies, making this an exciting place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Gen AI Model Artist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant forums, and attend events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your work with generative AI models. Include projects that demonstrate your ability to train and fine-tune models, and make sure it’s easily accessible when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the latest GenAI trends and tools. Be ready to discuss your problem-solving strategies and how you've tackled challenges in previous projects.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Gen AI Model Artist in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with generative model training and dataset skills. We want to see how you've tackled similar challenges in the past, so don’t hold back on those details!
Tailor Your Application:Customise your application to reflect the specific requirements of the Gen AI Model Artist role. Use keywords from the job description to show us you understand what we're looking for and how you fit the bill.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your experience and skills shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at DNEG
✨Know Your Generative AI Models
Make sure you brush up on your knowledge of generative AI models, especially those like Stable Diffusion. Be ready to discuss your experience with training and fine-tuning these models, as well as any specific techniques you've used to improve realism and likeness.
✨Showcase Your Dataset Skills
Prepare to talk about your dataset curation skills. Think about examples where you've balanced datasets for generative training or tackled issues like identity drift and overfitting. Being able to explain your approach to filtering and evaluating datasets will impress the interviewers.
✨Demonstrate Problem-Solving Abilities
Be ready to share specific instances where you've diagnosed and solved generative failure modes. Whether it’s dealing with texture issues or uncanny results, having a few solid examples will show that you can think critically and creatively under pressure.
✨Collaborate and Communicate
Since this role involves working closely with developers and VFX artists, highlight your teamwork and communication skills. Prepare to discuss how you've translated creative needs into technical solutions in past projects, showcasing your ability to collaborate effectively.
