Research Scientist - AI Image and Video Synthesis

Robert Half
London
1 month ago
Applications closed

Related Jobs

View all jobs

Research Scientist, 3D Generative AI (PhD)

Research Scientist Intern, Large Language Models (PhD)

AI Research Scientist

SAF Research Scientist

Artificial Intelligence Researcher-Perception

Applied Scientist III, Amzn Shipping-Prd & Tech, Amzn Shipping-Prd & Tech

Robert Half Technology are assisting a rapidly growing, AI technology organisation to recruit a Research Scientist - AI Image and Video Synthesis on a 12 month contract - fully remote - UK based

Role

  • The Research Scientist - AI Image and Video Synthesis will develop and implement advanced image and video synthesis algorithms using deep learning techniques, including generative adversarial networks (GANs), diffusion model, neural style transfer, and monocular depth estimation.
  • Work with large datasets to train and optimise image synthesis models to generate high-quality, realistic images.
  • Develop tools and frameworks to streamline the development and deployment of image synthesis models.
  • Collaborate with other research scientists, research engineers, and data scientists to integrate image and video synthesis models into larger systems and applications.
  • Troubleshoot and debug issues with photo synthesis models and systems as needed.
  • Stay up-to-date with the latest research in image and video synthesis and machine learning and apply it to practical problems.

Profile

  • The Research Scientist - AI Image and Video Synthesis will ideally have aPh.D. degree in Computer Science, Electrical Engineering, or a related field or 8+ years of equivalent experience.
  • Publications in top-tier journals and conferences such as CVPR, ICCV, ECCV, ICRL, Neurips, IJCV, TPAMI.
  • Strong programming skills in Python and extensive experience with PyTorch.
  • Strong understanding of machine learning and deep learning concepts.
  • Experience in developing and implementing generative AI algorithms, such as GANs, diffusions, view synthesis, depth estimation, or style transfer.
  • Excellent problem-solving and analytical skills.
  • Understand, communicate, and collaborate effectively in an English speaking environment.

Preferred Qualifications

  • Experience with video synthesis and manipulation.
  • Experience with 3D rendering and image-based rendering.
  • Experience with 3D human pose and shape estimation.
  • Experience with software engineering best practices, including version control and testing.
  • First author publications in top-tier journals and conferences such as CVPR, ICCV, ECCV, ICRL, Neurips, IJCV, TPAMI.

Company

  • Rapidly growing, AI technology organisation
  • Fully remote working - UK based

Salary & Benefits

The salary range/rates of pay is dependent upon your experience, qualifications or training.

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:roberthalf.com/gb/en/privacy-notice.

S2F6aW0uSGFzc2FuLjcwNjE0LjEyMjcxQHJoaS5hcGxpdHJhay5jb20.gif

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.