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Hays Software Engineering are looking for a Machine Learning Engineer to join a heavily backed, exciting Large Language Model start-up based in the US, looking to build their presence in the UK starting with an engineering hub in London.What you will be doing:
- Conduct research and implement solutions for the development, training, and deployment of large language models, with a focus on both pre-training and post-training processes, including fine-tuning, alignment, and optimisation.
- Collaborate closely with research teams to build, optimise, and maintain data sets, as well as scalable training and data pipelines for LLMs, ensuring efficient deployment in production environments.
- Build and maintain comprehensive documentation for infrastructure components and systems.
- Design and implement systems that ensure reproducibility and traceability in data preparation.
- Develop and maintain detailed documentation and codebases to ensure reproducibility and best practices in research and development workflows.
- Stay updated with advancements in machine learning, NLP, and AI, and evaluate their relevance to ongoing and future projects.
What we are looking for:
- Master's degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong emphasis on natural language processing or machine learning.
- Expertise in MLOps best practices, including model versioning, CI/CD pipelines, containerisation, and cloud deployment for large-scale models.
- Proficient programming skills in Python, with familiarity in machine learning frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, and MLOps tools like MLflow and Kubeflow.
- Exceptional analytical and problem-solving abilities, with a knack for transforming complex theoretical research into practical applications.
What you will get in return:
- Supportive Environment: Benefit from huge funding, collaborating with top-tier talent.
- Top-Tier Compute: Access a dedicated GPU cluster for research.
- Impactful Work: Shape the future of AI applications, making technology more accessible and eco-friendly.
- Competitive Benefits: Enjoy a competitive salary, stock options, health benefits, and more.
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