176 to 200 of 574 Permanent PyTorch Jobs

concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures, and the AI development lifecycle. Hands-on experience with the latest technologies and models in More ❯

and end users. Ability to obtain and maintain a security clearance is required Preferred Qualifications: Experience with AI/ML frameworks such as TensorFlow, PyTorch, or OpenAI APIs. Experience with programming languages and frameworks including UML, C++, C#, JSON, HTML, JavaScript, CSS, GIT lab, SQL, EF OO Framework, REACT, REDUX More ❯

and end users. Ability to obtain and maintain a security clearance is required Preferred Qualifications: Experience with AI/ML frameworks such as TensorFlow, PyTorch, or OpenAI APIs. Experience with programming languages and frameworks including UML, C++, C#, JSON, HTML, JavaScript, CSS, GIT lab, SQL, EF OO Framework, REACT, REDUX More ❯

communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken Hebrew and English PREFERRED QUALIFICATIONS - Proven knowledge of Generative AI and hands-on experience of building applications with large More ❯

one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j). Security Clearance Only those with the permanent and unrestricted right to live and work in the More ❯

one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j). Security Clearance Only those with the permanent and unrestricted right to live and work in the More ❯

one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Security Clearance Only those with the permanent and unrestricted right to live and work in the UK More ❯

major data science tools and languages such as Python, PostgreSQL/SQL, Spark, and Git Experience using ML and data science packages such as PyTorch, TensorFlow, or scikit-learn Experience leveraging open-source models and adapting them to generate custom solutions Able to work on-site in Chantilly, Va ACTIVE 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 ❯

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 ❯

for reliability and cost, or improving our search service Tech Stack: Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and More ❯

use of fundamental data science libraries (e.g., Pandas, NumPy, Sci-kit-Learn). You may also have experience with Deep Learning models (libraries including PyTorch, Transformers) and usage of GenAI. Highly numerate and analytical problem-solvers, with a Degree, Masters or PhD in a mathematical, scientific, or computational field Strong More ❯

use of fundamental data science libraries (e.g., Pandas, NumPy, Sci-kit-Learn). You may also have experience with Deep Learning models (libraries including PyTorch, Transformers) and usage of GenAI. Highly numerate and analytical problem-solvers, with a Degree, Masters or PhD in a mathematical, scientific, or computational field. Strong More ❯

years of experience in data science, preferably within national security contexts • Proficiency in Python and core data science tools (e.g., NumPy, pandas, scikit-learn, PyTorch/TensorFlow) • Experience working in secure, classified environments • Ability to translate ambiguous operational needs into structured analytic tasks Preferred Experience • Familiarity with DoD data systems More ❯

in AI and machine learning, including hands-on experience with model development, deployment, and optimization. Technical Skills Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R). Experience with data preprocessing and feature engineering. Knowledge of deep learning techniques and neural networks. Familiarity with cloud 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 ❯

solutions into business workflows. Required Qualifications & Skills Strong experience in AI, NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM fine-tuning . Experience deploying AI applications on Azure (e.g., Azure ML, Azure Functions More ❯

solutions into business workflows. Required Qualifications & Skills Strong experience in AI, NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM fine-tuning . Experience deploying AI applications on Azure (e.g., Azure ML, Azure Functions 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 ❯

Computer Science, AI, ML, or a related field. Experience in developing and deploying AI/ML solutions. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of LLMs, NLP, and machine learning algorithms. MLOps knowledge and experience with version control systems. Back-end engineering skills in Python or More ❯

tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Open-source contributions or publications demonstrating expertise in machine learning for scientific applications. Hands-on experience with best software development practices in collaborative environments. More ❯

in advanced machine learning techniques, with a focus on LLMs/genAI, optimisation, or sequential learning Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience A history of successful scientific publications More ❯

in advanced machine learning techniques, with a focus on LLMs/genAI, optimisation, or sequential learning Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience A history of successful scientific publications More ❯

tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). *NGS and RNA experience is not strong enough, Python, Physics and Protein dynamics/structures based experience is an absolute must. Excellent basic + More ❯