Save Job Back to Search Job Description Summary Similar JobsShape next-generation AI systems using cutting-edge open-source models.Build, train and optimise LLM solutions at scale.About Our ClientA highly innovative financial services organisation investing in advanced technology and AI-driven solutions to solve complex real-world challenges.Job DescriptionTrain, 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.The Successful ApplicantMaster'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.What's on OfferOpportunity 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.ContactManpreet KaurQuote job refJN-072026-7071733Job summarySectorTechnologySubsectorIT DevelopmentIndustryFinancial ServicesWhereInternationalContract typePermanentConsultant nameManpreet KaurJob referenceJN-072026-7071733