301 to 325 of 730 Permanent PyTorch Jobs

experience in AI/ML development; internships or project work in relevant fields will be considered. Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with NLP technologies; familiarity with models like LLaMA. Strong analytical skills and a passion for leveraging AI to solve real-world More ❯

s or Master's degree in Geospatial Science, Computer Science, Data Science, or a related field. Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R). Proficiency in GIS software (e.g., ArcGIS, QGIS) and spatial data analysis. Experience with remote sensing data processing and More ❯

in programming languages commonly used in data science such as Python, R, and SQL. Extensive experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch ) and advanced statistics. Proven ability to work with large-scale data sets and familiarity with data querying tools. Solid understanding of data warehousing and ETL More ❯

tools is highly valued. Languages & Libraries: Python, R, Pandas, NumPy, scikit-learn, XGBoost, LightGBM, statsmodels NLP & ML Frameworks: spaCy, Hugging Face Transformers, TensorFlow or PyTorch (where applicable) Data Engineering & Pipelines: dbt, Airflow, SQL, Spark, Dask Visualisation: Plotly, Seaborn, Matplotlib, Dash, Streamlit Dev & Collaboration Tools: Jupyter, Git, Docker, VS Code, CI More ❯

Knowledge of data pipelines, analytics tooling, or large-scale data processing. Interest in cloud-native and serverless architectures. Familiarity with tools such as TensorFlow, PyTorch, or LangChain is a plus. More ❯

Knowledge of data pipelines, analytics tooling, or large-scale data processing. Interest in cloud-native and serverless architectures. Familiarity with tools such as TensorFlow, PyTorch, or LangChain is a plus. More ❯

areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s machine learning More ❯

areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS's machine learning More ❯

Learning, Computational Linguistics, or equivalent experience. 5+ years of experience in software engineering or applied machine learning. Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). Experience with large-scale ML systems, LLMs, or NLP architectures. Proven ability to ship ML-based products with measurable impact. Strong understanding of More ❯

Learning, Computational Linguistics, or equivalent experience. 5+ years of experience in software engineering or applied machine learning. Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). Experience with large-scale ML systems, LLMs, or NLP architectures. Proven ability to ship ML-based products with measurable impact. Strong understanding of More ❯

e.g., quantization, pruning, knowledge distillation) Proven success in: Software development using Python and/or C/C++ Working with ML frameworks such as PyTorch and/or TensorFlow Writing clear and thorough documentation Using standard software engineering tools and practices (e.g., Git) Strong communication and collaboration skills with a More ❯

and/or Azure also welcome) and containerisation (Docker, Kubernetes) *Proficiency in Python (important), with exposure to Java, Kotlin, TypeScript, and ML frameworks like PyTorch *Ability to influence large-scale technical decisions across engineering organisations (100+ engineers) *Strong communicator and mentor, with a track record of driving best practices and More ❯

Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications More ❯

Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications More ❯

deployment, and lifecycle management of complex ML systems. Strong programming skills in Python and potentially R. Expertise with relevant ML frameworks (e.g., scikit-learn, PyTorch). Experience with recommendation systems, collaborative filtering, and ideally Graph Neural Networks (GNNs). Proficient with SQL and working with large datasets (e.g., GCP BigQuery More ❯

deployment, and lifecycle management of complex ML systems. Strong programming skills in Python and potentially R. Expertise with relevant ML frameworks (e.g., scikit-learn, PyTorch). Experience with recommendation systems, collaborative filtering, and ideally Graph Neural Networks (GNNs). Proficient with SQL and working with large datasets (e.g., GCP BigQuery More ❯

training data), and Git (for code management). • Experience with integrating AI engine/techniques with Modeling and Simulation Applications. Preferred Qualifications: • Familiarity with PyTorch, Numpy, Pandas, and OpenCV toolboxes. • Familiarity with code containerization techniques (e.g. Docker). • Knowledge of domain specific radar principles, including signal processing, target acquisition, target More ❯

as Python, with an interest in further developing these skills for NLP tasks. Familiarity with AI and NLP frameworks or tools like TensorFlow or PyTorch is a bonus. A strong willingness to learn about LLMs and experience in any related projects is advantageous. Problem-solving skills and an interest in More ❯

as Python, with an interest in further developing these skills for NLP tasks. Familiarity with AI and NLP frameworks or tools like TensorFlow or PyTorch is a bonus. A strong willingness to learn about LLMs and experience in any related projects is advantageous. Problem-solving skills and an interest in More ❯

as Python, with an interest in further developing these skills for NLP tasks. Familiarity with AI and NLP frameworks or tools like TensorFlow or PyTorch is a bonus. A strong willingness to learn about LLMs and experience in any related projects is advantageous. Problem-solving skills and an interest in More ❯

Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skills-able to translate complex insights into business impact Experience working More ❯

C++, or Java) and familiarity with Linux, Git, and CI workflows. Data Science: Deep knowledge of statistical modeling, feature engineering, and machine‑learning frameworks (PyTorch, TensorFlow, scikit‑learn). Systems: Proven skill in real‑time data pipelines, distributed/cloud computing, and performance optimization. Markets: Strong grasp of market microstructure More ❯

C++, or Java) and familiarity with Linux, Git, and CI workflows. Data Science: Deep knowledge of statistical modeling, feature engineering, and machine‑learning frameworks (PyTorch, TensorFlow, scikit‑learn). Systems: Proven skill in real‑time data pipelines, distributed/cloud computing, and performance optimization. Markets: Strong grasp of market microstructure More ❯

Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in More ❯

Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in More ❯