276 to 300 of 726 Permanent PyTorch Jobs

Expertise in maintaining and deploying a notebook-based data science environment (JupyterHub). Experience in advanced Python data science packages (Pandas, NetworkX, Scikit-Learn, PyTorch or TensorFlow/Keras, Matplotlib or Plotly, etc.) _ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as More ❯

healthcare or pharmaceutical. Strong problem-solving and data analytics skills with working experience using Python/R and related packages, e.g. scipy, scikit-learn, pytorch, tensorflow etc. Prefered experience in open-source package development Proven experience building and shipping AI agents (LLM-based or hybrid) with deep understanding of prompt More ❯

of relevant industry or research experience in robotics, autonomous systems, or navigation algorithm development. Experience with computer vision and ML frameworks such as OpenCV, PyTorch, or TensorFlow. Experience with embedded systems, real-time computing, and deploying algorithms to fielded platforms. Experience leading or significantly contributing to R&D projects involving More ❯

in financial analysis, modelling, and statistics, with experience extracting insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib, seaborn, or Streamlit. Fluent in Python, with experience working with data processing libraries such as Pandas. Strong More ❯

in integrating AI technologies into practical applications, preferably in simulation or wargaming contexts Proficiency in AI and ML frameworks and tools, such as TensorFlow, PyTorch, scikit-learn, etc. Experience with generative AI models, in particular Large Language Models (LLMs) like GPT-3 or GPT-4 Minimum 3 years in the More ❯

such as chipping, augment, or conversion using common libraries like Boto3 and NumPy. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery. Demonstrated professional More ❯

a data-driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on network architectures and More ❯

Large Language Models (LLMs) to drive model quality further Strong coding skills in Python, Java, or similar, along with experience in ML frameworks (e.g., PyTorch) and cloud services (e.g., AWS, GCP) Knowledge of CI/CD pipelines and MLOps principles A track record of successful cross-functional partnerships, with the More ❯

development. • Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). • Proficiency in Python, R, or other relevant programming languages. • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). • Ability to work More ❯

e.g., RDBMS, Spark, Presto, or BigQuery). Experience with machine learning, optimization, and data manipulation tools (e.g., scikit-learn, XGBoost, cvxpy, Pandas, Spark, or PyTorch). Experience with at least one low-level or scientific language (e.g., C, Rust, Go, Julia, or R). Experience with accelerated compute (GPU, TPU More ❯

or semi-autonomous systems is highly desirable. Strong programming skills in Python, C++, or ROS (Robot Operating System). Knowledge of AI frameworks (TensorFlow, PyTorch, OpenCV, etc.). Knowledge of industrial communication protocols (e.g., OPC-UA, Modbus, Ethernet/IP). Experience with industrial controls systems (Rockwell PLCs) and Safety More ❯

of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in More ❯

of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in More ❯

5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Fluent in English More ❯

5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Fluent in English More ❯

Strong understanding of AI/ML fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in production environments. Familiarity with cloud-based platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker More ❯

Strong understanding of AI/ML fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in production environments. Familiarity with cloud-based platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker More ❯

modelling). Programming proficiency: Excellent Python programming skills with experience in developing and debugging production-level code. Bonus points: Deep learning frameworks: Expertise with PyTorch and HuggingFace transformers. Generative AI: Strong practical understanding of LLMs and transformers. PhD in a related field. Reinforcement Learning knowledge. More ❯

modelling). Programming proficiency: Excellent Python programming skills with experience in developing and debugging production-level code. Bonus points: Deep learning frameworks: Expertise with PyTorch and HuggingFace transformers. Generative AI: Strong practical understanding of LLMs and transformers. PhD in a related field. Reinforcement Learning knowledge. More ❯

computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration More ❯

For Most importantly, you must hold an active UKIC DV Clearance Strong experience in MLOps or ML Engineering Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn ) Strong proficiency in Python for production systems Proficient in Python and modern DevOps/MLOps tools Experience with cloud platforms and infrastructure as More ❯

new technologies and evaluating the state of the art in machine learning algorithms for text analytics Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB More ❯

world AI applications. Required: 4+ years in AI/ML engineering with hands-on Databricks experience . Strong Python skills with experience in TensorFlow, PyTorch, or Scikit-learn. Cloud experience ( Azure preferred, or AWS/GCP). Certifications in Databricks or Azure (e.g., Databricks ML Professional). Why Join Us More ❯

have: Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field. Minimum of 5 years of experience Proficiency in Python , TensorFlow, PyTorch, Keras, or similar frameworks. Desirable: Some experience with Terraform for deploying components in Azure . Experience with: Event Management, APIs, and Azure resources, including Durable More ❯

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 ❯