1 to 25 of 1,034 Remote TensorFlow Jobs

AI/ML techniques, including supervised, unsupervised, and reinforcement learning, deep learning, and large language models (LLMs). Experience with ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Hands-on experience deploying ML models in production environments using MLOps principles. Expertise in relevant AI/ML applications, such More ❯

s degree preferred. 3 to 5 years of experience building full-cycle data science and machine learning solutions. Expertise with machine learning libraries: PyTorch, TensorFlow, scikit-learn, and deep understanding of model lifecycle management. Strong command of the tools for building machine learning models. Proficient in Python (Pandas, NumPy More ❯

data science. • Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). • Proficiency in Python, R, or other relevant programming languages. • Proficiency in working with More ❯

to work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git More ❯

of a wide range of ML algorithms. Understanding of MLOps practices for managing and monitoring models in production. Experience with deep learning frameworks (e.g. TensorFlow, PyTorch). Proficiency in programming languages such as Python, SQL and R. Knowledge of SQL and NoSQL databases for data storage and retrieval. Experience More ❯

of a wide range of ML algorithms Understanding of MLOps practices for managing and monitoring models in production. Experience with deep learning frameworks (e.g. TensorFlow, PyTorch) Proficiency in programming languages such as Python, SQL and R. Knowledge of SQL and NoSQL databases for data storage and retrieval. Strong software More ❯

or R. Experience with SQL and familiarity with database management practices to handle and query large datasets efficiently. Knowledge of machine learning frameworks like TensorFlow or PyTorch and libraries such as scikit-learn. Proficiency in using data analysis and visualization tools to interpret data and present insights effectively. Proven More ❯

models like GANs, VAEs, transformers, or diffusion models Proficiency in programming languages such as Python, R, or Julia, and experience with ML frameworks like TensorFlow, PyTorch, or Keras Strong understanding of deep learning architectures, neural networks, and statistical modeling techniques Experience with cloud platforms (AWS, Azure, Google Cloud) and More ❯

Terraform code & MLOps practices. Exhibit proficiency in Python, software engineering practices, along with expertise in deep learning frameworks (ML/distributed ML frameworks like TensorFlow etc). Possess outstanding communication skills and the ability to collaborate effectively with interdisciplinary teams. Proven experience in the full ML model development lifecycle More ❯

end-to-end ML pipelines Hand-on experience in Python data science ecosystem (e.g. numpy, scipy, pandas, scikit-learn, matplotlib etc.) Deep Learning frameworks (TensorFlow, PyTorch, MLX) Popular classification and regression techniques Unsupervised learning & matrix factorisation algorithms Natural Language Processing (NLP) and document processing Generative AI (open and closed More ❯

or related discipline. 3+ years of professional experience developing and deploying machine learning and AI models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test More ❯

or related discipline. 3+ years of professional experience developing and deploying machine learning and AI models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test More ❯

or related discipline. 3+ years of professional experience developing and deploying machine learning and AI models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test More ❯

or related discipline. 3+ years of professional experience developing and deploying machine learning and AI models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test More ❯

or related discipline. 3+ years of professional experience developing and deploying machine learning and AI models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test More ❯

or related discipline. 3+ years of professional experience developing and deploying machine learning and AI models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test More ❯

or related discipline. 3+ years of professional experience developing and deploying machine learning and AI models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test More ❯

or related discipline. 3+ years of professional experience developing and deploying machine learning and AI models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test More ❯

or related discipline. 3+ years of professional experience developing and deploying machine learning and AI models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test More ❯

or related discipline. 3+ years of professional experience developing and deploying machine learning and AI models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test More ❯

or related discipline. 3+ years of professional experience developing and deploying machine learning and AI models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test More ❯

applications, particularly in fraud prevention and user personalization. Experience designing, developing, and implementing advanced machine learning models. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Data Engineering Skills: Proficiency in developing and maintaining real-time data pipelines for processing large-scale data. Experience with ETL More ❯

NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure More ❯

Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale More ❯

models like GANs, VAEs, transformers, or diffusion models. Proficiency in programming languages such as Python, R, or Julia, and experience with ML frameworks like TensorFlow, PyTorch, or Keras. Strong understanding of deep learning architectures, neural networks, and statistical modeling techniques. Experience with cloud platforms (AWS, Azure, Google Cloud) and More ❯