{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Senior Machine Learning Engineer”, “description”: “
Remote UK + Europe
We’re partnered with a leading GenAI company redefining VFX, digital humans, and AI-driven content creation, now scaling their video generation and multimodal AI capabilities.
They’re hiring a Senior Machine Learning Engineer to build state‑of‑the‑art generative video systems, working across everything from diffusion models to neural rendering.
What you’ll do
- Design, train, and deploy cutting‑edge generative video models
- Work across diffusion, transformers, GANs, autoencoders, and NeRF‑based systems
- Build scalable ML pipelines for video synthesis, performance transfer, and visual translation
- Partner with research, product, and creative teams to take models from research → production
- Optimise models for real‑world deployment (latency, scale, efficiency)
What they’re looking for
- 5+ years in Machine Learning / Software Engineering
- Strong experience deploying ML systems into production
- Deep expertise in PyTorch or TensorFlow
- Hands‑on experience with generative video models i.e. Diffusion models, Transformers (video / multimodal), GANs / VAEs / Autoencoders, Neural rendering (e.g. NeRFs)
Nice to have
- Experience in VFX, graphics, or real‑time rendering pipelines
- Work on multimodal or video/audio generative systems
- Performance optimisation (training + inference)
- Research background or open‑source contributions
Company: DeepRec.ai
Location:
Job Description:
Remote UK + Europe
We’re partnered with a leading GenAI company redefining VFX, digital humans, and AI-driven content creation, now scaling their video generation and multimodal AI capabilities.
They’re hiring a Senior Machine Learning Engineer to build state‑of‑the‑art generative video systems, working across everything from diffusion models to neural rendering.
What you’ll do
- Design, train, and deploy cutting‑edge generative video models
- Work across diffusion, transformers, GANs, autoencoders, and NeRF‑based systems
- Build scalable ML pipelines for video synthesis, performance transfer, and visual translation
- Partner with research, product, and creative teams to take models from research → production
- Optimise models for real‑world deployment (latency, scale, efficiency)
What they’re looking for
- 5+ years in Machine Learning / Software Engineering
- Strong experience deploying ML systems into production
- Deep expertise in PyTorch or TensorFlow
- Hands‑on experience with generative video models i.e. Diffusion models, Transformers (video / multimodal), GANs / VAEs / Autoencoders, Neural rendering (e.g. NeRFs)
Nice to have
- Experience in VFX, graphics, or real‑time rendering pipelines
- Work on multimodal or video/audio generative systems
- Performance optimisation (training + inference)
- Research background or open‑source contributions
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Posted: April 29th, 2026