451 to 475 of 721 Permanent PyTorch Jobs

concise manner to a variety of audiences. Familiarity with AWS/cloud technologies. Familiarity with Deep Learning and machine learning frameworks such as SageMaker, PyTorch or TensorFlow. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation More ❯

DAX skills). Experience in Data Lake technologies (DataBricks) and/or Dataiku. Experience with Data Science and AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of machine learning algorithms, statistical modelling, and AI-driven analytics. Data analysis, management, and visualisation expertise. Proactively manages conflicts within their More ❯

along with real-time implementation, and/or validation & verification is a strong advantage Experience in Matlab, Simulink and/or Stateflow, Python including PyTorch, TensorFlow, Open AI-Gym/Universe or Model Based Design, would be desirable We encourage our IAS Engineers to cultivate a broad and in-depth More ❯

and frameworks to optimize model performance. You have 7+ years of programming experience in Python and have development experience with both DL toolkits like PyTorch or Tensorflow and can deploy models with clean APIs. You are equally capable as a software engineer as you are in formulating novel research ideas More ❯

. Prior experience with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. More ❯

Familiarity with the AI/ML hardware stack (e.g. GPUs, TPUs, data center design) Familiarity with the AI/ML software stack (e.g. CUDA, PyTorch, TensorFlow, Ray) Experience working on AI research, ML model training, or model deployment Experience with securing AI systems Education Requirements RAND is hiring a Research More ❯

software products for HPC using MPI or other open-source tools. HPC debugging tools such as DDT, GDB or Valgrind. AI toolkits such as PyTorch, RAPIDSAI, TensorFlow, or Keras. Statistical analysis software such as Python or R. Building and running containerized applications in an HPC environment. Cluster deployment tools such More ❯

AI methods and optimization of machine learning models. Proficiency in programming languages such as Python, R, C++, or Java, and with AI frameworks including PyTorch, and OpenCV. Extensive experience with traditional and modern computer vision techniques, including object detection (YOLO, SSD, Faster R-CNN), image segmentation (U-Net, Mask R More ❯

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 Aptitude for project management We encourage you to apply if you More ❯

capabilities to some of the biggest names in the insurance industry. We are developing a modern real-time ML platform using technologies like Python, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres and Flink on AWS. We are very big fans of Infrastructure-as-Code and enjoy Agile practices. As More ❯

Job Specification: Machine Learning Engineer (NLP) (Pytorch) Location: Bristol, UK (Hybrid - 2 days per week in the office) About the Role I'm looking for an NLP Engineer to join a forward-thinking company that specialises in advanced risk analytics and machine learning. This is a great opportunity to work … and NLP techniques, with hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP libraries like TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced NLP methods, including Prompt Engineering, Parameter More ❯

the AI/R&D roadmap, data strategy, and continuous improvement of our MLOps processes and lean ML toolstack (DBT, Snowflake, Metaflow, AWS Sagemaker, PyTorch, Metabase, Hex, W&B, etc.). Working with our full-stack engineer (Denis) on infrastructure decisions impacting data and AI systems. Providing input on product … ML/DL fundamentals (algorithms, evaluation, statistics, feature engineering). Strong proficiency in Python and common ML libraries/frameworks (e.g., Pandas, Scikit-learn, PyTorch, ). You have a degree (Bachelor's, Master's or PhD) in a quantitative field such as Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics More ❯

Quick Position Facts! Location: Virginia Beach, VA at our wonderful G2 Ops office. Work Setting: In person, some remote opportunity and/or flexible working hours, not a fully remote position. Looking to Start: May/June 2025 Salary Range More ❯

Data: Integration of machine learning pipelines into production environments Docker and containerization/orchestration (e.g., Kubernetes) Experience in Deep Learning Development: Using TensorFlow or PyTorch libraries Additional Experience With Large Language Models (LLMs More ❯

for an experienced and talented Senior AI Scientist. Experience Required: Deep Learning experience, preferably with LLMs & NLP. Strong knowledge and experience with Python/Pytorch, Tensorflow and other data science libraries. Experienced with cloud platforms, e.g AWS or GCP is considered a plus. The role is hybrid in Cambridge, UK More ❯

for an experienced and talented Senior AI Scientist. Experience Required: Deep Learning experience, preferably with LLMs & NLP. Strong knowledge and experience with Python/Pytorch, Tensorflow and other data science libraries. Experienced with cloud platforms, e.g AWS or GCP is considered a plus. The role is hybrid in Cambridge, UK More ❯

in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment More ❯

in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment More ❯

Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years of industry experience post More ❯

training efficiency, accuracy, and hardware utilization. Implement distributed training strategies at scale. Apply advanced techniques like sparsity, quantization, and distillation. Use frameworks like TensorFlow, PyTorch, JAX, and Hugging Face Transformers. Benchmark and profile models on custom accelerators. Stay current with AI and hardware advancements and contribute to ongoing R&D More ❯

Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years of industry experience post More ❯

/AI products, regularly communicating with senior leadership REQUIREMENTS: Advanced degree in a relevant STEM subject. Strong skills in the likes of Python, TensorFlow, PyTorch etc Proven track record of delivering large-scale machine learning products. Expertise in a variety of machine learning and AI techniques - ideally having a background More ❯

to knowledge sharing Essential Skills & Experience: Strong proficiency in Python and Graph Databases Experience with core data science libraries such as Scikit-Learn, Pandas, PyTorch/TensorFlow Solid understanding of machine learning and NLP techniques Familiarity with version control systems (Git/GitHub), Python package management, unit testing, and code More ❯

with other researchers and engineers. About You Practical knowledge of multimodal AI - LLM and VLM Excellent knowledge of machine learning and relevant frameworks as PyTorch and/or Tensorflow A strong research focus with first author publications in reputable ML/AI conferences/journals PhD student or graduate in More ❯

promotions during the last financial year Technical requirements include: Demonstrable experience designing and implementing machine learning models using Python frameworks such as TensorFlow or PyTorch Practical knowledge of generative AI tooling including Hugging Face transformers and LangChain orchestration Specialisation in natural language processing and large language models, covering training methodologies More ❯