526 to 550 of 763 Remote PyTorch Jobs

industry experience Data Science/Machine Learning in one or more of: Anomaly detection Excellent skills in Python and S QL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using version control More ❯

Suite (JIRA, Confluence) Experience developing, configuring, troubleshooting, and sustaining large Accumulo deployments in a Linux environment Experience with Agile software development methodologies Familiar with GPU acceleration tools such as PyTorch Familiar with HPC workload managers such as Slurm Familiar with ML frameworks such as Hugging Face Qualifications Master's degree in computer science or related discipline from an accredited college More ❯

mathematics. You may be a good fit if you: Have 5+ years of industry-related experience Are proficient in Python and have experience with deep learning frameworks such as PyTorch or Jax Have a strong software engineering background and are interested in working closely with researchers and other engineers Enjoy pair programming (we love to pair!) Care about code quality More ❯

modeling, including modeling of uncertainty Experience in government, intelligence community, or other relevant decision-making offices Proficiency in Python or other popular programming languages and machine learning frameworks ( e.g. PyTorch , TensorFlow) Experience working on AI research, ML model training, and/or model deployment Experience in high-intensity fast-paced environments and/or navigating complex organizational structures. Education Requirements More ❯

Physics, Mathematics, or a closely related field. Demonstrated experience in benchmarking foundational models for real-world applications. Experience in machine learning and developing AI models in frameworks such as Pytorch, TensorFlow, FSDP, Ray, and so forth. Expertise in one or more AI areas, including transfer learning, model distillation, surrogate models, and reinforcement learning. Research experience in designing and developing domain More ❯

to work independently, set up experiments and demonstrate progress through principled use of metrics. Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch and Hugging Face Transformers. Experience with LLM serving technologies such as vLLM is a plus. Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant More ❯

LLMs and applying them to recommender systems. Also, extensive experience developing models with advanced reasoning and planning capabilities. - Strong programming skills in Python and relevant deep learning frameworks (e.g., PyTorch). - Significant contributions to the field of AI, demonstrated through publications in top-tier conferences (e.g., NeurIPS, ICLR, ICML, ACL) or impactful open-source projects. - Proven ability to build models More ❯

Neocloud space. Practical knowledge of AI/ML technologies and their applications, including understanding language models (LLMs), and experience with training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Good understanding of programming/scripting: (e.g., Python, Go) for customizing solutions, creating scripts, or automating tasks. Experience with AI relevant infrastructure, including Networking (InfiniBand and More ❯

modeling, including modeling of uncertainty Experience in government, intelligence community, or other relevant decision-making offices Proficiency in Python or other popular programming languages and machine learning frameworks ( e.g. PyTorch , TensorFlow) Experience working on AI research, ML model training, and/or model deployment Experience in high-intensity fast-paced environments and/or navigating complex organizational structures Aptitude for More ❯

Job Title: Automation Engineer SUMMARY - We are seeking a highly skilled and motivated AI/Automation Engineer/Systems Integrator to join our innovative team. The ideal candidate will have a strong background in integrating advanced AI technologies into manufacturing More ❯

research teams you'll identify high-impact initiatives and push the boundaries of model performance. You'll also work on re-implementing models in an efficient manner by using PyTorch and underlying technologies like Cuda Kernels, Torch compilation techniques. This would include: Evaluating and optimising compute resource usage (e.g., Hopper GPUs) for cost and time efficiency at training and inference … of best practices for large-model training, including checkpointing, gradient accumulation, and memory optimisation among others. Introducing or enhancing tooling for distributed training, performance monitoring, and logging (e.g., DeepSpeed, PyTorch Distributed). Designing and implementing techniques for model parallelism, data parallelism, and mixed-precision training. Keeping the team updated on the latest research in model compression (e.g., quantization, pruning) and More ❯

VPU/NPU/GPU/CPU/TPU architecture Vector/Matrix/Scaler units simulation/modelling - System C/TLM/UML ML frameworks - Tensorflow/PyTorch/Python or similar DSP algorithms - FIR/IIR filters or FFT... IP design, system design, system architecture low-power, performance and optimisation Applicants must have UK/EU/ More ❯

and/or CUDA code to achieve performance breakthroughs. Required Skills Understanding of Linux systems, performance analysis tools, and hardware optimisation techniques Experience with distributed training frameworks (Ray, Dask, PyTorch Lightning, etc.) Expertise with Python and/or C/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient solutions. Highly More ❯

research Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work More ❯

on AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work More ❯

research Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work More ❯

research Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow)Solid grasp of ML techniques; independent and team-oriented mindset Preferred : Experience in LLMs, reinforcement learning, or chip designFamiliarity with JAX and optimization frameworks Why Join Us: Work on More ❯

towards hybrid working Full eligibility to work in the UK (no sponsorship available) Nice to have: Experience with LLMs and understanding of AI/ML frameworks like TensorFlow/PyTorch Degree in Computer Science/AI or related fields Previous experience in the Insurance industry Experience working within Cyber Security environments Knowledge of SQL/Statistical Programming Languages such as More ❯

for parallel environments (GPU, distributed clusters) . What We’re Looking For: A PhD in a core STEM subject at a top 10 university Proficiency in Python, C++, Java, PyTorch, TensorFlow. Experience deploying ML models at scale. Strong product sense and ability to iterate on AI-driven user experiences. A strong entrepreneurial mindset! If this role looks of interest, please More ❯

for parallel environments (GPU, distributed clusters) . What We’re Looking For: A PhD in a core STEM subject at a top 10 university Proficiency in Python, C++, Java, PyTorch, TensorFlow. Experience deploying ML models at scale. Strong product sense and ability to iterate on AI-driven user experiences. A strong entrepreneurial mindset! If this role looks of interest, please More ❯

e.g., SRAM, DDR, ROM, eFuse, HBM) HW-SW co-design Deep knowledge of VPU/NPU/GPU/CPU/TPU architecture Experience with ML frameworks - TensorFlow/PyTorch/Python or similar Knowledge of DSP algorithms - FIR/IIR filters or FFT Focus on low-power, performance, and optimization Applicants must have UK/EU/France working More ❯

SRAM, DDR, ROM, eFuse, HBM) Hardware-Software co-design experience Knowledge of VPU/NPU/GPU/CPU/TPU architectures Experience with ML frameworks such as TensorFlow, PyTorch, Python, or similar Knowledge of DSP algorithms like FIR, IIR filters, or FFT Focus on low-power, performance, and optimization Note: Applicants must have UK/EU/France working More ❯

research Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindset Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work More ❯

SRAM, DDR, ROM, eFuse, HBM) HW-SW co-design Deep knowledge of VPU/NPU/GPU/CPU/TPU architecture Experience with ML frameworks such as TensorFlow, PyTorch, Python, or similar Knowledge of DSP algorithms like FIR/IIR filters or FFT Focus on low-power, performance, and optimization Applicants must have UK/EU/France working More ❯

architectures (e.g., SRAM, DDR, ROM, eFuse, HBM) HW-SW co-design Deep knowledge of any; VPU/NPU/GPU/CPU/TPU architecture ML frameworks - Tensorflow/PyTorch/Python or similar DSP algorithms - FIR/IIR filters or FFT... low-power, performance and optimisation Applicants must have UK/EU/France working rights - NO sponsorship can More ❯