Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Research Scientist (Image2Video)

Stealth AI Startup
London
10 months ago
Applications closed

Related Jobs

View all jobs

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Lead R Data Scientist - Sustainability

Assistant Coastal Data Scientist (Undergraduate)

Senior MLOps Engineer

Lead/ VP AWS Data Engineer

Senior Computer Vision Engineer

Are you passionate about the future of AI and video generation technology?

Do you have experience in diffusion modeling?

Do you come from a 2D or 3D background?


Join our innovative team as a Research Scientist and help push the boundaries of image-to-video generation. We’re seeking a talented individual with a deep understanding of computer vision, machine learning, and video synthesis to develop cutting-edge solutions in this dynamic field.


Key Responsibilities:

  • Conduct research and development in image-to-video generation, focusing on high-quality, realistic video outputs.
  • Design, implement, and optimize deep learning algorithms for transforming static images into fluid, believable video sequences.
  • Collaborate with cross-functional teams, including software engineers and product designers, to integrate your work into scalable applications.
  • Publish research findings and contribute to the scientific community through papers, presentations, and technical reports.
  • Stay up-to-date with advancements in AI, video generation, and related fields to incorporate the latest methodologies and technologies.


Qualifications:

  • PhD or MS in Computer Science, Electrical Engineering, or related field, with a focus on computer vision or machine learning.
  • Publications or products shipped in video or image generation or 3D reconstruction
  • Demonstrated expertise in image and video processing, deep learning, and computer vision.
  • Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow or PyTorch.
  • Strong research track record, including publications in top-tier conferences and journals.
  • Excellent problem-solving skills and the ability to thrive in a collaborative, innovative environment.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.