26 to 50 of 158 Remote TensorFlow Jobs

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 ❯

strong emphasis on threat detection. Solid experience in machine learning and data science, proficient in both supervised and unsupervised algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience working with large, real-world datasets that require pre-processing, data visualization, and a great dose of analytical skills. More ❯

on experience with LLMs such as OpenAI GPT, Anthropic Claude, Mistral, Cohere, or similar. Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, or LangChain. Experience in fine-tuning, model evaluation, and prompt engineering. Strong understanding of NLP techniques including text classification, summarization More ❯

in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Excellent communication skills to report and present research More ❯

science or machine learning roles. Strong knowledge of behaviour biometrics or sensor-based or time series data Solid Python skills (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience with time-series data or sensor-based or behavioural biometric data, and sequential modelling (e.g., LSTMs, Transformers). Comfortable working More ❯

Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs More ❯

technical field. 5+ years of experience building and deploying solutions in cloud environments. Strong Python development skills ; experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus. Experience designing and implementing AI/ML solutions in a cloud-native environment (Azure preferred; AWS/GCP acceptable). More ❯

Implementing MLOps best practices for seamless model deployment, monitoring, and iteration. What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI More ❯

Prism. Strong knowledge of Python, R, or JavaScript for scripting and machine learning model development. Experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or similar. Proficiency in working with relational databases (SQL Server, Oracle, PostgreSQL) and APIs. Solid understanding of software development lifecycle (SDLC), Agile methodologies More ❯

data science and machine learning, with a focus on natural language processing and LLMs. • Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, or similar. • Strong understanding of data preprocessing techniques, feature engineering, and model evaluation metrics. • Experience with secure data handling and the ability to More ❯

Location Data Analysis Built Environment, Image Analysis Engineer Built Environment, Large Language Models Engineer, VLM Engineer, Generative Models Engineer, Python Machine Learning, PyTorch Engineer, TensorFlow Engineer, Keras Engineer, AWS AI Engineer, GCP AI Engineer, Data Scientist with Spatial Data Built Environment, Data Scientist with Image Recognition Built Environment. More ❯

Location Data Analysis Built Environment, Image Analysis Engineer Built Environment, Large Language Models Engineer, VLM Engineer, Generative Models Engineer, Python Machine Learning, PyTorch Engineer, TensorFlow Engineer, Keras Engineer, AWS AI Engineer, GCP AI Engineer, Data Scientist with Spatial Data Built Environment, Data Scientist with Image Recognition Built Environment. More ❯

Location Data Analysis Built Environment, Image Analysis Engineer Built Environment, Large Language Models Engineer, VLM Engineer, Generative Models Engineer, Python Machine Learning, PyTorch Engineer, TensorFlow Engineer, Keras Engineer, AWS AI Engineer, GCP AI Engineer, Data Scientist with Spatial Data Built Environment, Data Scientist with Image Recognition Built Environment. More ❯

Location Data Analysis Built Environment, Image Analysis Engineer Built Environment, Large Language Models Engineer, VLM Engineer, Generative Models Engineer, Python Machine Learning, PyTorch Engineer, TensorFlow Engineer, Keras Engineer, AWS AI Engineer, GCP AI Engineer, Data Scientist with Spatial Data Built Environment, Data Scientist with Image Recognition Built Environment. More ❯

Location Data Analysis Built Environment, Image Analysis Engineer Built Environment, Large Language Models Engineer, VLM Engineer, Generative Models Engineer, Python Machine Learning, PyTorch Engineer, TensorFlow Engineer, Keras Engineer, AWS AI Engineer, GCP AI Engineer, Data Scientist with Spatial Data Built Environment, Data Scientist with Image Recognition Built Environment. More ❯

Location Data Analysis Built Environment, Image Analysis Engineer Built Environment, Large Language Models Engineer, VLM Engineer, Generative Models Engineer, Python Machine Learning, PyTorch Engineer, TensorFlow Engineer, Keras Engineer, AWS AI Engineer, GCP AI Engineer, Data Scientist with Spatial Data Built Environment, Data Scientist with Image Recognition Built Environment. More ❯

Location Data Analysis Built Environment, Image Analysis Engineer Built Environment, Large Language Models Engineer, VLM Engineer, Generative Models Engineer, Python Machine Learning, PyTorch Engineer, TensorFlow Engineer, Keras Engineer, AWS AI Engineer, GCP AI Engineer, Data Scientist with Spatial Data Built Environment, Data Scientist with Image Recognition Built Environment. More ❯

Location Data Analysis Built Environment, Image Analysis Engineer Built Environment, Large Language Models Engineer, VLM Engineer, Generative Models Engineer, Python Machine Learning, PyTorch Engineer, TensorFlow Engineer, Keras Engineer, AWS AI Engineer, GCP AI Engineer, Data Scientist with Spatial Data Built Environment, Data Scientist with Image Recognition Built Environment. More ❯

Location Data Analysis Built Environment, Image Analysis Engineer Built Environment, Large Language Models Engineer, VLM Engineer, Generative Models Engineer, Python Machine Learning, PyTorch Engineer, TensorFlow Engineer, Keras Engineer, AWS AI Engineer, GCP AI Engineer, Data Scientist with Spatial Data Built Environment, Data Scientist with Image Recognition Built Environment. More ❯

Location Data Analysis Built Environment, Image Analysis Engineer Built Environment, Large Language Models Engineer, VLM Engineer, Generative Models Engineer, Python Machine Learning, PyTorch Engineer, TensorFlow Engineer, Keras Engineer, AWS AI Engineer, GCP AI Engineer, Data Scientist with Spatial Data Built Environment, Data Scientist with Image Recognition Built Environment. More ❯

Scientists to deploy trained machine learning models into production environments; Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch; Experience with software engineering best practices and developing applications in Python; Technical experience of cloud architecture, security, deployment, and open-source tools More ❯

and pipeline development. Deep understanding of data modelling, data access, and data storage techniques. Familiarity with machine learning frameworks and data visualization tools (e.g., TensorFlow, Scikit-learn, Tableau, Power BI). Exceptional problem-solving skills and the ability to lead a team under tight deadlines. Excellent communication skills for More ❯

ML skills Experience in AI and ML algorithms Experience working with experimental data sets, data mining, and machine learning tools such as PyTorch and TensorFlow Understanding of biopharmaceuticals process and related unit operations. Experience using Git for version control Familiarity with DevOps and software best practices (i.e., version control More ❯

their ML/AI strategy. Key skills: Python for Machine Learning and Data Science. Frameworks used in Machine Learning and Data Science such as TensorFlow, PyTorch, and scikit-learn. Computer vision. Data Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn. Cloud services used in machine learning More ❯

Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms More ❯