experience in academia or industry • We will consider various levels of experience in relevant research areas Key Skills: • Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) • Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU, GPU More ❯
machine learning, including deep learning and/or generative models. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques/Protein-Ligand Interaction/Molecular Modelling More ❯
learning, including deep learning and/or generative models. 3. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques/Protein-Ligand Interaction/Molecular Modelling More ❯
learning, including deep learning and/or generative models. 3. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques/Protein-Ligand Interaction/Molecular Modelling More ❯
across the stack, from architecture to deployment What they're looking for: Strong experience with Python and deep learning frameworks like PyTorch, TensorFlow, or JAX Familiarity with libraries and tooling such as Transformers (Hugging Face), TorchVision, OpenCV, scikit-learn, and Weights & Biases (or similar for experiment tracking) Skilled in More ❯
across the stack, from architecture to deployment What they're looking for: Strong experience with Python and deep learning frameworks like PyTorch, TensorFlow, or JAX Familiarity with libraries and tooling such as Transformers (Hugging Face), TorchVision, OpenCV, scikit-learn, and Weights & Biases (or similar for experiment tracking) Skilled in More ❯
across the stack, from architecture to deployment What they're looking for: Strong experience with Python and deep learning frameworks like PyTorch, TensorFlow, or JAX Familiarity with libraries and tooling such as Transformers (Hugging Face), TorchVision, OpenCV, scikit-learn, and Weights & Biases (or similar for experiment tracking) Skilled in More ❯
across the stack, from architecture to deployment What they're looking for: Strong experience with Python and deep learning frameworks like PyTorch, TensorFlow, or JAX Familiarity with libraries and tooling such as Transformers (Hugging Face), TorchVision, OpenCV, scikit-learn, and Weights & Biases (or similar for experiment tracking) Skilled in More ❯
across the stack, from architecture to deployment What they're looking for: Strong experience with Python and deep learning frameworks like PyTorch, TensorFlow, or JAX Familiarity with libraries and tooling such as Transformers (Hugging Face), TorchVision, OpenCV, scikit-learn, and Weights & Biases (or similar for experiment tracking) Skilled in More ❯
across the stack, from architecture to deployment What they're looking for: Strong experience with Python and deep learning frameworks like PyTorch, TensorFlow, or JAX Familiarity with libraries and tooling such as Transformers (Hugging Face), TorchVision, OpenCV, scikit-learn, and Weights & Biases (or similar for experiment tracking) Skilled in More ❯
across the stack, from architecture to deployment What they're looking for: Strong experience with Python and deep learning frameworks like PyTorch, TensorFlow, or JAX Familiarity with libraries and tooling such as Transformers (Hugging Face), TorchVision, OpenCV, scikit-learn, and Weights & Biases (or similar for experiment tracking) Skilled in More ❯
across the stack, from architecture to deployment What they're looking for: Strong experience with Python and deep learning frameworks like PyTorch, TensorFlow, or JAX Familiarity with libraries and tooling such as Transformers (Hugging Face), TorchVision, OpenCV, scikit-learn, and Weights & Biases (or similar for experiment tracking) Skilled in More ❯
across the stack, from architecture to deployment What they're looking for: Strong experience with Python and deep learning frameworks like PyTorch, TensorFlow, or JAX Familiarity with libraries and tooling such as Transformers (Hugging Face), TorchVision, OpenCV, scikit-learn, and Weights & Biases (or similar for experiment tracking) Skilled in More ❯
across the stack, from architecture to deployment What they're looking for: Strong experience with Python and deep learning frameworks like PyTorch, TensorFlow, or JAX Familiarity with libraries and tooling such as Transformers (Hugging Face), TorchVision, OpenCV, scikit-learn, and Weights & Biases (or similar for experiment tracking) Skilled in More ❯
across the stack, from architecture to deployment What they're looking for: Strong experience with Python and deep learning frameworks like PyTorch, TensorFlow, or JAX Familiarity with libraries and tooling such as Transformers (Hugging Face), TorchVision, OpenCV, scikit-learn, and Weights & Biases (or similar for experiment tracking) Skilled in More ❯
to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for More ❯
and deploying GenAI models and applications on cloud infrastructure. Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. Knowledge of MLOps tools and workflows for model development, validation, and deployment. High level of communicating effectively across internal and external organizations More ❯
and deploying GenAI models and applications on cloud infrastructure. - Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. - Knowledge of MLOps tools and workflows for model development, validation, and deployment. - High level of communicating effectively across internal and external organizations More ❯
collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a high-impact role for someone who thrives on building ambitious technology More ❯
london, south east england, united kingdom Hybrid / WFH Options
Acquired Talent Ltd
collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a high-impact role for someone who thrives on building ambitious technology More ❯
e.g., generative models, GNNs, active learning, foundation models) in a scientific context. Strong coding skills and experience with relevant ML frameworks (e.g., PyTorch, TensorFlow, JAX) and chemistry toolkits (e.g., RDKit). Deep understanding of molecular representation techniques and their application in modeling. Experience in designing and implementing robust, scalable More ❯
e.g., generative models, GNNs, active learning, foundation models)in a scientific context.- Strong coding skills and experience with relevant ML frameworks(e.g., PyTorch, TensorFlow, JAX) and chemistry toolkits (e.g., RDKit).- Deep understanding of molecular representation techniques and their application in modeling.- Experience in designing and implementing robust, scalable More ❯
Key responsibilities: Develop cutting-edge simulation frameworks and AI infrastructure. Optimize ML models using techniques like quantization and pruning. Leverage GPU power (CUDA, Python, Jax) for accelerated training. Qualifications: Expertise in Python/C++ and deep learning (PyTorch). Experience building Deep Reinforcement Learning Models. Experience with Robotics and More ❯
Key responsibilities: Develop cutting-edge simulation frameworks and AI infrastructure. Optimize ML models using techniques like quantization and pruning. Leverage GPU power (CUDA, Python, Jax) for accelerated training. Qualifications: Expertise in Python/C++ and deep learning (PyTorch). Experience building Deep Reinforcement Learning Models. Experience with Robotics and More ❯
