Machine Learning Research Engineer | Foundational Models | Generative Models | Python | PyTorch[...]

<h3>Machine Learning Research Engineer | Foundational Models | Generative Models | Python | PyTorch | London</h3><p><strong>Role Overview</strong></p><p>We are seeking Machine Learning Research Engineers / Scientists to join our team working on groundbreaking foundation models. The successful candidate will develop, train and deploy to production large-scale AI foundation models for applications within weather and climate change.</p><p>In short, the client is looking for a Machine Learning Research Engineer who has proven experience working on topics such as -<strong> Diffusion modelling, LLMs and Neural networks.</strong></p><p><strong>What Youll Do</strong></p><ul><li>Architect and implement innovative ML models for complex spatiotemporal data analysis.</li><li>Lead end-to-end development of large-scale AI systems, from research to production.</li><li>Drive the optimisation of training and inference pipelines for maximum performance.</li><li>Conduct validation experiments and performance analysis.</li><li>Spearhead long-term research initiatives with significant real-world impact.</li><li>Collaborate with world-class researchers and engineers.</li></ul><p><strong>We expect you to have</strong></p><ul><li>Proven track record in developing and deploying deep learning models.</li><li>Advanced proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, Jax).</li><li>Demonstrated experience with distributed training systems and large-scale data pipelines.</li><li>Strong software engineering practices and system design principles.</li><li>Excellent problem-solving and analytical skills.</li><li>Outstanding communication and collaboration abilities.</li></ul><p><strong>Nice to have</strong></p><ul><li>MSc or PhD in Artificial Intelligence, Computer Science, or related technical field.</li><li>Published research in prestigious AI conferences/journals (NeurIPS, ICML, etc.).</li><li>Hands-on experience with one or several of the following: transformers, diffusion models, self-supervised learning, foundation model training/fine-tuning.</li></ul><p>Join us in pushing the boundaries of physics foundation models!</p><p>For immediate consideration please send your CV over to bradley@enigma-rec.ai</p><h3>Seniority level</h3><p>Mid-Senior level</p><h3>Employment type</h3><p>Full-time</p><h3>Job function</h3><p>Information Technology</p><h3>Industries</h3><p>Staffing and Recruiting</p>

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