626 to 650 of 668 Remote PyTorch Jobs

search, retrieval pipelines, or document-based AI systems is a bonus Nice to Have: Exposure to legal tech, compliance tools, or privacy-centric workflows Familiarity with ML frameworks (e.g. PyTorch, Scikit-learn)-helpful but not required Interest in prompt engineering, user intent modeling, or AI agent design What We Offer: A high-trust, high-impact environment with ownership over mission More ❯

KPIs and monitor their progress. Desired Profile Key Competencies • AI Expertise: Mastery of generative AI concepts, deep understanding of APIs (e.g., OpenAI), and familiarity with technological frameworks (e.g., TensorFlow, PyTorch). • Project Management: Proven experience in structuring and managing innovative projects. • Product Management: Ability to design, prioritize, and implement technology roadmaps aligned with business needs. • Innovation and Monitoring: Ability to More ❯

the impact of your research-based optimizations and present your findings to the team. What you'll bring to the team Knowledge of Python and modern ML libraries like PyTorch, Tensorflow, or JAX. Ability to implement models from academic papers like ICML, ICLR, NeurIPS, etc. Strong quantitative intuition and mastery of linear algebra, probability and statistics. Solid knowledge of basic More ❯

benchmarking. Proficiency in Git and distributed version control systems. Desirable Skills Experience with open-source software maintenance, SDN, Kubernetes, and Docker. Hands-on testing of AI networking stacks (e.g., PyTorch, RDMA/RoCE, NCCL). Performance benchmarking and multi-node setup testing using traffic generators like IXIA. Accommodations at Arm At Arm, we want our people to Do Great Things. More ❯

through to impact in high-autonomy environments Track record of building forecasting systems with measurable commercial or operational value Advanced Python proficiency and familiarity with libraries like XGBoost, Prophet, PyTorch, Scikit-learn Deep knowledge of MLOps , reproducibility practices, and scalable experimentation Experience deploying models with CI/CD pipelines, containerisation , and cloud tools (e.g., SageMaker, Vertex AI, GCP pipelines ) Strong More ❯

cross-functional advocate for the team Qualifications: 2+ years of experience with industry-level deep learning models 2+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch) 4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models 4+ years of experience of orchestrating complicated data generation pipelines on large-scale dataset More ❯

developing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model. Solid experience in the development and optimization of machine learning infrastructure tools like DeepSpeed, PyTorch, TensorFlow, Ray, or similar frameworks. Expertise in distributed training techniques, including gradient sharding and optimization strategies for scaling large models across ML accelerator profiling tools to uncover performance bottlenecks. Familiarity More ❯

Computing or Artificial Intelligence technology, including servers, Infiniband interconnects, high performance Ethernet and accelerators. 1+ years of experience of more than one of: HPL, Stream, IMB/OSU, TensorFlow, PyTorch, MLperf. 1+ years of experience of using parallel and/or accelerated applications using more than one of OneAPI, Intel Gaudi software suite, OpenMP, MPI, CUDA, ROCm, OpenCL, SYCL. We More ❯

evaluates their pros/cons for practical applications. Proven expertise in building and deploying machine learning models using AWS SageMaker/Vertex AI. Experience with ML frameworks such as PyTorch or TensorFlow. Experience with cloud based API's such as OpenAI APIs or Hugging Face. Excellent communication skills and the ability to articulate complex concepts. A strong commitment to ethical More ❯

between humans and machines. We're expanding our Engineering team with roles focused on secure, privacy-preserving machine learning infrastructure. What you'll do: Work with ML frameworks like PyTorch, ONNX, and ExecuTorch to support encrypted model execution. Define and develop APIs, Python/C++ bindings, and CLI tools to enable seamless integration of secure inference into real applications. Research … testing infrastructure. Senior role: Lead design decisions, mentor junior engineers, and contribute broadly across Verbio's AI platform. Our Tech Stack: Languages: Python, C,C++, Rust, Bash ML & Inference: PyTorch, ONNX, ExecuTorch Tools: Docker, Git, GitLab CI, CMake Platforms: Linux, Shell scripting What we offer: International, diverse team (11+ nationalities, many PhDs & experts) 100% remote work (Senior role includes occasional More ❯

on an outside IR35 contract basis. The incoming engineer will be required to have experience with the following: Experience with Rec Sys Experience with NLP Experience with TensorFlow/PyTorch/Keras AWS experience is also a plus This role is based in London although they can be flexible with regards to hybrid and remote working. Please apply below if More ❯

as low-latency speech recognition systems and LLMs. You’ll need: A strong educational background, with some focus on ML/Deep Learning Experience using machine learning frameworks like PyTorch or Tensorflow Experience training machine learning models for production applications A background in handling multi-Terabyte datasets On offer are great salary and benefits, as well as hybrid working and More ❯

or similar) ✔ Keen to mentor junior devs on good practice Nice-to-Haves: ◼ Some Terraform/IaC knowledge (we can help with this) ◼ Played with ML tools (TensorFlow/PyTorch) ◼ E-commerce/retail background (not essential) The Deal: Join a growing team at a proper tech success story Mostly Python work with room to grow your IaC skills Hybrid More ❯

up-to-date and relevant delivery What do I need to succeed? A background in training in Data Science & AI Experience with one or more of the following tools: PyTorch, Python, R, C#, Java Desirable: experience with one or more Cloud-native data services, such as AWS, Azure Experience of data science related technologies or strong understanding of statistics and More ❯

communication of complex technical information. Enthusiasm, flexibility, hardworking attitude, and a passion for enabling team success. Nice To Have: Experience in developing ML/AI applications using frameworks like Pytorch and TensorFlow. Familiarity with Cybersecurity concepts such as TARA, Attack Trees, HSM architectures. Knowledge of Reliability technologies, methodologies, and standards applied to SoCs, including RAS, Predictive Maintenance, BFR, HTOL, HAST More ❯

in a an environment where customer's needs, and the products that serve them, are continuously evolving Nice to Have Experience using deep learning frameworks such as TensorFlow or PyTorch Experience designing, implementing and maintaining large-scale HPC infrastructure Experience in operations management or Six Sigma methodology Experience in defining and refining process workflows Salary Range Information Based on market More ❯

the cutting edge of ML and sports tech. You'll ideally bring expertise in: Must-Haves: Python (strong programming fundamentals) Modern C++ (C+/20) TensorRT for model optimisation PyTorch, PyTorch-Ignite Linux & Windows 10 experience GIT and collaborative software development Nice-to-Haves: CUDA OpenCV CMake & Visual Studio Typescript & Semantic UI React SSH and secure deployment workflows Bonus Skills More ❯

Tech Stack and Skill Requirements: We work at the cutting edge of ML and sports tech. You’ll ideally bring expertise in: Must-Haves: Modern C++ (C++17/20) PyTorch, PyTorch-Ignite GIT and collaborative software development Nice-to-Haves: CUDA OpenCV CMake & Visual Studio Typescript & Semantic UI React SSH and secure deployment workflows Bonus Skills: QT, JIRA, Confluence ClearML More ❯

non-technical audiences Strong stakeholder management skills Flexible approach towards hybrid working Nice to have: Working knowledge in AI related projects Working knowledge of tools such as Python/PyTorch/Tensorflow Proven experience in the Insurance industry Immediate availability What you need to do now If you're interested in this role, click 'apply now' to forward an up More ❯

non-technical audiences Strong stakeholder management skills Flexible approach towards hybrid working Nice to have: Working knowledge in AI related projects Working knowledge of tools such as Python/PyTorch/Tensorflow Proven experience in the Insurance industry Immediate availability What you need to do now If you're interested in this role, click 'apply now' to forward an up More ❯

non-technical audiences Strong stakeholder management skills Flexible approach towards hybrid working Nice to have: Working knowledge in AI related projects Working knowledge of tools such as Python/PyTorch/Tensorflow Proven experience in the Insurance industry Immediate availability What you need to do now If you're interested in this role, click 'apply now' to forward an up More ❯

Reinforcement Learning (or equivalent hands-on experience). Deep understanding of robot manipulation—both classical and ML-based approaches. Proficiency in Python & C++, and experience with ML frameworks like PyTorch or TensorFlow. Strong grasp of real-world robotic constraints and embedded systems. Excellent communication and a collaborative mindset. 🌟 Bonus Points For Experience deploying robotic systems in real-world environments. Knowledge More ❯

Reinforcement Learning (or equivalent hands-on experience). Deep understanding of robot manipulation—both classical and ML-based approaches. Proficiency in Python & C++, and experience with ML frameworks like PyTorch or TensorFlow. Strong grasp of real-world robotic constraints and embedded systems. Excellent communication and a collaborative mindset. 🌟 Bonus Points For Experience deploying robotic systems in real-world environments. Knowledge More ❯

Reinforcement Learning (or equivalent hands-on experience). Deep understanding of robot manipulation—both classical and ML-based approaches. Proficiency in Python & C++, and experience with ML frameworks like PyTorch or TensorFlow. Strong grasp of real-world robotic constraints and embedded systems. Excellent communication and a collaborative mindset. Bonus Points For Experience deploying robotic systems in real-world environments. Knowledge More ❯

Experience: 7–10 years of ML experience, with a strong record of transitioning research into production. Proven team leadership in a technical or research setting. Expert in Python and PyTorch; JAX is a plus. Strong foundation in data preparation, feature engineering, and model evaluation. Excellent communicator with the ability to adapt messaging for different audiences. Strategic mindset and leadership potential More ❯