451 to 475 of 718 Remote PyTorch Jobs

Social network you want to login/join with: Data Scientist/ML Engineer – Data-Driven Digital Agency Location: Hybrid (London) or UK Remote Are you a Data Scientist Or ML Engineer ready to make an impact across the full More ❯

DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and implement novel ML/statistical approaches to enhance product capabilities. Develop robust … Deep Generative Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing More ❯

GenAI models. Hands-on experience with advanced AI technologies, including Generative AI and Agent-based AI systems. Proficiency in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Extensive experience with NLP techniques and libraries (e.g., NLTK, spaCy, Gensim, Transformers). Experience with version control systems (Git) Experience with AWS. Knowledge of MLOps practices and tools. If More ❯

and are available to start ASAP, please send your CV for immediate consideration, as our client is looking to hire promptly. Nice-to-have skills Python Scikit-learn TensorFlow PyTorch NLTK Git AWS Work experience Machine Learning NLP Languages English Seniority level Mid-Senior level Employment type Contract Job function Engineering and Information Technology Industries Technology, Information and Internet Note More ❯

ll collaborate closely with a cross-functional team of ML engineers, data scientists, and product managers to build robust and scalable ML systems. Our team relies on tools like PyTorch, Hugging Face, and internal infrastructure for model training, deployment, and experimentation. Requirements Strong understanding of machine learning fundamentals and the practical trade-offs involved in applying them 3-5+ … years' experience with deep learning and NLP Experience with Pytorch or other deep learning frameworks Hands-on experience fine-tuning LLMs or working with frameworks such as Hugging Face Transformers Proven experience deploying ML models to production and maintaining end-to-end ML pipelines Solid communication skills - in person, in writing, in code, and code-review; to technical and non More ❯

development experience using machine learning and software development technologies including Python language and OpenCV, performing Computer Vision or Imaging Processing, use of ML tools and libraries such as TensorFlow, PyTorch, or Scikit-learn, and Amazon WebServices and Azure cloud-based platforms; and Remote work available with monthly visits to Columbus office required. Email resume to More ❯

of ideally 3+ years within AI/Machine Learning. Experience of Swarming, Swarm Intelligence and/or Multi-agent systems. Python, C++, Java or Rust. TensorFlow, TensorFlow Lite, TensorRT, PyTorch, Scikit-Learn. ROS/ROS2, Real-time & Embedded Systems. Simulation tools such as Gazebo or Webots. Edge AI/Edge computing familiarity such as NVIDIA Jetson. This is a chance More ❯

of ideally 3+ years within AI/Machine Learning. Experience of Swarming, Swarm Intelligence and/or Multi-agent systems. Python, C++, Java or Rust. TensorFlow, TensorFlow Lite, TensorRT, PyTorch, Scikit-Learn. ROS/ROS2, Real-time & Embedded Systems. Simulation tools such as Gazebo or Webots. Edge AI/Edge computing familiarity such as NVIDIA Jetson. This is a chance More ❯

Conduct performance optimisation and fine-tuning of AI models for real-world implementation. Candidate Requirements Strong Python programming skills, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale models. Proficiency in AWS cloud computing , including Athena, SageMaker, and related AI/ML services. More ❯

impact on a business that is investing in its data capabilities! Requirements Experience developing and deploying machine learning models Skills in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn Hands-on experience with Databricks (either on AWS or Azure) Understanding of ML Ops principles is beneficial Confident working independently with a can-do attitude Benefits Salary More ❯

into existing products with the latest machine learning advancements. Requirements include strong programming skills in Python, C, C++, experience with deployment platforms, and familiarity with NLP, computer vision, TensorFlow, PyTorch, JAX, CUDA, LLMs, and related technologies. A degree in a relevant field and a solid AI R&D track record are essential. More ❯

source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding practices, production deployment, and API resilience. Nice to Have: Experience using PostgreSQL for data storage and management. Familiarity More ❯

part of a high-performing research team dedicated to developing and refining systematic investment models. You’ll work hands-on with large and alternative datasets, employing tools like Python, PyTorch, and modern machine learning frameworks to design, test and evolve predictive signals and strategies. Your role will be an exciting mix of theoretical research and practical implementation, giving you the More ❯

to AI/ML and serverless computing. Proficiency in JavaScript, TypeScript, Node.js, React.js, and Express.js for building full-stack applications. Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or LangChain. Knowledge of microservices architecture, containerization (Docker, Kubernetes), and event-driven patterns. Strong understanding of API design, including REST, GraphQL, and WebSockets. Familiarity with DevOps practices, CI More ❯

field; or equivalent research experience in industry or academia. Open to applicants across a range of seniority levels with relevant expertise. Core Skills: Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX. Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation). Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs, GPUs, and NPUs. Hands More ❯

Computer Vision, CNNs, and Deep Learning . Medical imaging experience – Worked with CBCT scans, X-rays, MRIs, or other 3D imaging technologies . Programming skills – Proficiency in Python, TensorFlow, PyTorch, OpenCV, and C++ . Data handling – Experience in processing, annotating, and managing large-scale medical datasets . Regulatory knowledge – Understanding of AI in medical devices (FDA 510k, MDR, IVDR compliance More ❯

You Bachelor's Degree in a STEM subject, preferably from a Russell Group University. Strong mathematical and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn. Demonstrable experience in data science and a proven track record in developing predictive models. Experience contributing to a software project/product. Experience with databases. In addition More ❯

uncertainty, inference, and experimentation; Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.); Solid experience with deep learning frameworks like PyTorch or TensorFlow; Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code; Familiarity with medical or life science data is a strong plus; Expertise in SQL More ❯

You Bachelor’s Degree in a STEM subject, preferably from a Russell Group University. Strong mathematical and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn. Demonstrable experience in data science and a proven track record in developing predictive models. Experience contributing to a software project/product. Experience with databases. In addition More ❯

statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create More ❯

statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create More ❯

statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create More ❯

series or physiological data. Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection). Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De Novo), and standards like IEC 62304 or ISO 13485. Experience with MLOps practices and model versioning More ❯

3D reconstruction Hands-on knowledge of diffusion and transformer models applied to 3D Familiarity with 3D scene representations Strong coding abilities in Python and/or C++ Experience with PyTorch and rendering frameworks Solid understanding of 3D vision and physically-based rendering Nice to Have: GPU programming experience Background in multi-view geometry, structured light, or 3D processing Track record More ❯

into production systems. Additional skills include leadership in agile environments, strong communication, mentorship abilities, expertise in RAG architectures, Transformer-based LLMs, model optimization, programming in Python with frameworks like PyTorch, TensorFlow, Hugging Face, LangChain, experience with containerization tools, cloud deployment (preferably Azure), and familiarity with databases and data platforms. OUR VALUES: CURIOSITY, OPTIMISM, AMBITION, EMPATHY We foster a team culture More ❯