Join a high-performing Machine Learning Science team to build scalable deep learning pipelines and deploy AI/ML systems in cloud-based environments. Enable large-scale model development using complex, high-dimensional datasets for cutting-edge research in genomics and computational biology. Collaborate with machine learning scientists, computational biologists, and software engineers to design, optimize, and deploy infrastructure for robust, reproducible, and scalable model training and inference.
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Technical Skills Required
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Job Description
We are seeking a Machine Learning Engineer to join a high-performing Machine Learning Science team within a broader computational science function.
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This is an excellent opportunity for an engineer with strong experience building scalable deep learning pipelines and deploying AI/ML systems in cloud-based environments. The successful candidate will play a key role in enabling large-scale model development using complex, high-dimensional datasets, supporting cutting-edge research in areas such as genomics, disease detection and advanced computational biology.
Working closely with machine learning scientists, computational biologists and software engineers, this person will help design, optimise and deploy the infrastructure required to support robust, reproducible and scalable model training and inference.
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This is a permanent position that can be completed fully remotely from within the United States.
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