Model jobs in United Kingdom
Senior Research Scientist (must be UK based)
Voice AI Space
Discover more opportunities than anywhere else. Find more jobs nowSenior Digital Engineer - Great Grid
Laing O'Rourke group
Senior Water Networks Modeller
Stantec Consulting International Ltd.
Machine Learning Engineer (Databricks)
In Cork
Connect with headhunters to apply for similar jobsDirector - Analytics and Modeling
Entrepreneur First
Senior Systems Engineer, AI Applications Tooling
CloudFlare
Middle Office Oversight & Control Analyst – Global Investment Operations (UK) 2-year FTC
Federated Hermes Limited
Managing Director - Preqin Global Head of Digital Client Experience
LGBT Great
MEP BIM Co-ordinator Manchester, Glasgow, Edinburgh, Leeds, London or Dublin
Civic
Entrepreneur-in-Residence (Strategic Innovation)
Wayflyer Limited
Research Scientist (Applied LLMs), London London
Applied Intuition Inc.
Research Scientist - Diffusion
Job summary
A pioneering tech startup is looking for an AI Engineer specializing in generative models and machine learning to develop foundational ML models for image/video diffusion. The ideal candidate should have a PhD in Computer Science, a strong publication record, and extensive experience in deep learning frameworks like PyTorch. This role offers the opportunity to work in a creative and challenging environment at the forefront of AI technology.
Qualifications
- Strong publication record in Machine Learning, Computer Vision, Robotics, or Graphics.
- Strong knowledge of image/video diffusion models.
- Strong knowledge of modern transformer architectures.
Responsibilities
- Design and develop image/video diffusion foundational ML models.
- Perform large-scale distributed model training.
- Develop demos showcasing the trained model prototypes.
- Process and maintain large data for model training.
- Productionize models and perform test-time model optimization.
Skills
Education
Tools
SpAItial is pioneering the development of a frontier image/video foundation model, pushing the boundaries of AI, computer vision, and spatial computing. Our mission is to redefine how industries, from robotics and AR/VR to gaming and movies, generate and interact with image/video generation.
We’re looking for individuals who are bold, innovative, and driven by a passion for pushing the boundaries of what’s possible. You should thrive in an environment where creativity meets challenge and be fearless in tackling complex problems. Our team is built on a foundation of dedication and a shared commitment to excellence, so we value people who take immense pride in their work and place the collective goals of the team above personal ambition. As a part of our startup, you’ll be at the forefront of the AI revolution in generative AI technology, and we want you to be excited about shaping the future of this dynamic field. If you’re ready to make an impact, embrace the unknown, and collaborate with a talented group of visionaries, we want to hear from you.
Design and develop image/video diffusion foundational ML models.
Large-scale distributed model training.
Develop demos showcasing the trained model prototypes.
Processing and maintaining large data for model training.
Productionizing models, test-time model optimization.
PhD in Computer Science or related field with a strong publication record in Machine Learning, Computer Vision, Robotics, or Graphics.
Strong knowledge of generative models (image/video diffusion).
Strong knowledge of modern transformer architectures
Experience in generative models (GANs, diffusion, LLMs, etc).
Rich experience with large-scale deep-learning in PyTorch or similar.
Experience with modern video/image generative diffusion models.
Strong coding skills, able to rapidly iterate through ML experiments.
At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.