AI Research Scientist - (Leadership) in London

AI Research Scientist - (Leadership) in London

London Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and develop innovative AI models while tackling challenging machine learning problems.
  • Company: Globally recognised tech organisation leading the way in AI research.
  • Benefits: Access to large-scale computing resources and modern AI infrastructure.
  • Other info: Join a rapidly growing team dedicated to advancing AI technology.
  • Why this job: Make a real impact on the future of artificial intelligence with cutting-edge research.
  • Qualifications: PhD in relevant fields and strong publication history in AI research.

The predicted salary is between 63000 - 77000 Β£ per year.

Seeking an AI Research Scientist to join a globally recognised technology organisation at the forefront of AI research. With significant investment in next-gen AI systems, this research-focused environment brings together world-class scientists, engineers, and researchers to tackle some of the most challenging problems in machine learning today.

As an AI Research Scientist, you'll contribute to cutting-edge research spanning computer vision, large language models, multimodal AI, and generative models. For ambitious candidates seeking an impactful AI Research Scientist position, this represents a rare opportunity to influence the future of artificial intelligence.

  • Design and develop novel AI models and algorithms.
  • Conduct research across multiple machine learning domains.
  • Build and maintain large-scale datasets and data pipelines.
  • Collaborate with research and engineering teams to translate ideas into deployable solutions.
  • Evaluate and improve model performance through experimentation and analysis.
  • Contribute to research publications, technical reports, and knowledge sharing.

Requirements:

  • PhD in Computer Science, AI, Machine Learning, Mathematics, Statistics.
  • Excellent publications history with research published in at least one of the following; Experience in the industry as an AI Research Scientist or similar, working on the full-cycle development of ML algorithms, from design to implementation in Python & PyTorch.
  • Research expertise in one of the following: large language models (LLMs), vision-language models (VLMs), multimodal AI, foundation models, or generative AI.
  • Experience with model pre-training and fine-tuning.
  • Familiarity with distributed training environments and large-scale compute infrastructure.
  • Contributions to open-source projects or AI research communities.

Work on genuinely challenging AI research problems. Gain access to large-scale computing resources and modern AI infrastructure. See research translated into real-world applications. Join a rapidly growing research organisation investing heavily in AI.

Please note to be considered you must be coming from technology companies, research laboratories, AI-focused start-ups, or academia with at least 1.5 years of commercial experience following a PhD or postdoctoral position, combined with a strong publication record demonstrated by publications and experience developing state-of-the-art AI models.

AI Research Scientist - (Leadership) in London employer: European Tech Recruit

Join a globally recognised technology organisation that prioritises innovation and research in AI, offering a collaborative work culture where world-class scientists and engineers unite to solve complex challenges. With significant investment in next-gen AI systems, employees benefit from access to large-scale computing resources and opportunities for professional growth through impactful projects and contributions to cutting-edge research. This role not only allows you to influence the future of artificial intelligence but also fosters an environment that values knowledge sharing and continuous learning.

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Contact Details:

European Tech Recruit Recruitment Team

We think you need these skills to ace AI Research Scientist - (Leadership) in London

Machine Learning
Computer Vision
Large Language Models (LLMs)
Multimodal AI
Generative Models
Python
PyTorch