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
11 months ago
Applications closed

Related Jobs

View all jobs

Research Scientist -Machine Learning

Research Scientist / Engineer in NLP (Contractor)

Research Scientist (Machine Learning), London

Research Scientist, Machine Learning (PhD) London, UK • Software Engineering +1 more • Engineer[...]

Senior Research Scientist: Data Science and Machine Learning AIP

Senior Research Scientist: Data Science and Machine Learning

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.