9 of 9 Permanent PyTorch Jobs in Central London

Languages: Proficiency in Python and experience with languages such as Java or Scala. ? AI Frameworks: Extensive experience with AI frameworks and libraries, including TensorFlow, PyTorch, or similar. ? Data Processing: Expertise in big data technologies such as Apache Spark, Hadoop, and experience with data pipeline tools like Apache Airflow. ? Cloud Platforms More ❯

s degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field Proficient with one or more machine learning model development frameworks, especially PyTorch or TensorFlow. Familiar with the basics of machine learning (i.e. linear layers, activation functions, recurrence, convolution, attention). Proficiency in Python programming language Expertise in More ❯

required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with More ❯

protein structure or drug discovery challenges. You have extensive experience in building and training transformer-based models (e.g., protein folding models) using frameworks like PyTorch, PyTorch Lightning, or similar. You understand the data challenges in structural biology and are capable of designing scalable preprocessing, training, and evaluation workflows. You have More ❯

protein structure or drug discovery challenges. You have extensive experience in building and training transformer-based models (e.g., protein folding models) using frameworks like PyTorch, PyTorch Lightning, or similar. You understand the data challenges in structural biology and are capable of designing scalable preprocessing, training, and evaluation workflows. You have More ❯

protein structure or drug discovery challenges. You have extensive experience in building and training transformer-based models (e.g., protein folding models) using frameworks like PyTorch, PyTorch Lightning, or similar. You understand the data challenges in structural biology and are capable of designing scalable preprocessing, training, and evaluation workflows. You have More ❯

or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯

or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯

or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯