Michael Page
AI Scientist
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Shape next-generation AI systems using cutting-edge open-source models.
Build, train and optimise LLM solutions at scale.
About Our Client
A highly innovative financial services organisation investing in advanced technology and AI-driven solutions to solve complex real-world challenges.
Job Description
- Train, fine-tune and optimise AI models to improve performance, efficiency and scalability.
- Build high-quality datasets from user interactions, business use cases and real-world applications.
- Design and enhance model training and inference frameworks using leading open-source technologies.
- Adapt and improve existing training pipelines to support evolving AI products and platforms.
- Research emerging AI techniques and contribute to the advancement of next-generation LLM solutions.
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The Successful Applicant
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning or a related discipline.
- Strong understanding of model architectures, training methodologies and inference frameworks.
- Hands-on experience with large language models and open-source ecosystems, including DeepSeek, Gemma or similar technologies.
- Knowledge of training frameworks such as LLaMA Factory, VERL, PyTorch, TensorFlow or Hugging Face.
- Proven ability to modify, optimise and deploy AI training pipelines in production environments.
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What's on Offer
- Opportunity to work on leading-edge AI research and development initiatives.
- Collaborative environment with access to advanced technologies and highly skilled teams.
- Competitive compensation package, comprehensive benefits and excellent long-term career growth opportunities.
Contact
Manpreet Kaur
Quote job ref: JN-072026-7071733
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