376 to 400 of 1,817 TensorFlow Jobs

solutions, demonstrating adaptability and problem-solving skills is considered as a plus. Technical Skills: Strong programming skills in Python and SQL . Expertise in machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). Hands-on experience with big data technologies and cloud platforms (AWS preferred; Azure is a plus). Experience deploying ML models and following MLOps best practices. More ❯

learning to real world commercial problems Experience bringing live services using machine learning and python to production. Expert knowledge of Python and relevant libraries (numpy, pandas, matplotlib, Scikit-learn, tensorflow, etc...) knowledge in other programming languages is valuable, but this is primarily a Python shop. Experience with things like CI/CD pipelines, Docker or similar, cloud hosting, good More ❯

learning to real world commercial problems Experience bringing live services using machine learning and python to production. Expert knowledge of Python and relevant libraries (numpy, pandas, matplotlib, Scikit-learn, tensorflow, etc...) knowledge in other programming languages is valuable, but this is primarily a Python shop. Experience with things like CI/CD pipelines, Docker or similar, cloud hosting, good More ❯

Label Studio, Kili, Scale AI, CVAT, Prodigy, Postgres, etc.). Experience designing, maintaining, and scaling ML pipelines and tooling. Proficiency in Python and experience with ML libraries (e.g., PyTorch, TensorFlow, scikit-learn). Experience with the Go programming language Experience with experiment tracking tools (e.g., MLflow, Weights & Biases). Strong knowledge of DevOps, CI/CD practices, and cloud More ❯

or deep learning models and solutions. Experience 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 foundation models. More ❯

UK for the last 5 years. You must be able to hold or gain a UK government security clearance. Preferred Technical And Professional Experience Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Familiarity with big data technologies (Hadoop, Spark). Background in data science, IT consulting, or a related field. AWS Certified Big Data or equivalent Seniority More ❯

or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience More ❯

programming languages such as Python. Experience with data visualization tools like Power BI. Familiarity with data manipulation libraries such as Pandas and NumPy. Knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Excellent problem-solving skills and attention to detail. Ability to work effectively both independently and as part of a team. Strong communication skills, both written More ❯

programming languages such as Python. Experience with data visualization tools like Power BI. Familiarity with data manipulation libraries such as Pandas and NumPy. Knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Excellent problem-solving skills and attention to detail. Ability to work effectively both independently and as part of a team. Strong communication skills, both written More ❯

and monitoring (e.g. Kubeflow) Expert knowledge of automated artefact deployment using YAML based CI/CD pipelines and Terraform Working knowledge of one or more ML engineering frameworks (e.g. TensorFlow, PyTorch, Keras, Scikit-Learn) Working knowledge of object-oriented programming and unit testing in Python Working knowledge of application and information security principles and practices (e.g. OWASP for Machine More ❯

SKILLS/ABILITIES Strong programming skills in Python, C++, or similar languages commonly used in AI/ML and CV applications. Proficiency in libraries and frameworks such as OpenCV, TensorFlow, PyTorch, and Scikit-learn. Ability to analyze large image datasets and implement efficient automation for feature extraction and classification. Skilled in deploying software to secure cloud or hybrid environments. More ❯

traditional machine learning, deep learning and generative AI methods for both supervised, self-supervised and unsupervised learning with an emphasis on vision. Proficiency with deep learning frameworks such as TensorFlow/PyTorch. Proficiency with Python and strong software development background. Experience with MLOps practices, including versioning, deployment, and monitoring of models highly desirable. Ability to communicate complex technical concepts More ❯

/non-linear optimization. Experience working with Java and Python, and strong understanding of data structures, algorithms, and software design patterns. Experience with AI and Gen AI frameworks (e.g., TensorFlow or PyTorch). Experience with at least one cloud-based platform (e.g., AWS SageMaker or Azure Machine Learning). Adept at translating business problems into solution statements. Strong communication More ❯

research experience, with 5+ years post-graduation experience in advanced machine learning research Strong theoretical foundation in machine learning fundamentals and statistical methods Proficiency with Python, Deep Learning frameworks (TensorFlow, PyTorch), and distributed computing environments Excellent scientific writing and communication skills for both technical and non-technical audiences Proven ability to conduct independent research while collaborating effectively in multidisciplinary More ❯

PhD enrollment in Computer Science or Machine Learning. Solid understanding of ranking, continual learning, or online adaptation techniques. Hands-on experience with Python and deep learning libraries (PyTorch or TensorFlow). Strong analytical and experimental skills; ability to design rigorous ML evaluations. Clear and confident communicator (English required). Position 2: PhD in Bias & Fairness in Recruitment Ranking Systems More ❯

Who We Are 🙋 For years, artists have been 'shooting in the dark' when it comes to their marketing. There's a clear lack of robust, transparent and accessible marketing tools for musicians and artists to use to promote their music. More ❯

Who We Are 🙋 For years, artists have been 'shooting in the dark' when it comes to their marketing. There's a clear lack of robust, transparent and accessible marketing tools for musicians and artists to use to promote their music. More ❯

Who We Are For years, artists have been 'shooting in the dark' when it comes to their marketing. There's a clear lack of robust, transparent and accessible marketing tools for musicians and artists to use to promote their music. More ❯

customers. We utilize a range of algorithms and methods to do this including: Bayesian statistics and supervised learning to model conversion rates and revenue Scaled AI/ML with Tensorflow/Vertex AI to model a traveler’s propensity to book Time series forecasting As a part of the Science and Optimization team, we deliver through the full data … prototyping to production development to A/B testing and measurement. This provides each team member the opportunity to gain additional experience with a range of technologies such as Tensorflow, Vertex AI, Docker and the Google Cloud Platform. Note that this role requires availability to work later business hours, with a regular schedule ending at 7:00 PM Mon More ❯

or Microsoft Azure. Good knowledge and experience with generative AI concepts, frameworks and models (e.g., Langchain, OpenAI). Good knowledge and experience with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch). Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. We’d be Lucky if You More ❯

machine learning or engineering roles. Strong expertise in Machine Learning and Deep Learning, with exposure to Reinforcement Learning as a plus. Proficiency in Python and modern ML libraries (e.g., TensorFlow, PyTorch, JAX, or Keras). Experience with version control systems (GitHub, GitLab) and knowledge of clean, maintainable coding practices. Familiarity with CI/CD pipelines for automating ML workflows. More ❯

experience in designing, implementing, and optimizing computer algorithms for mission-critical systems. Proficiency in creating computer programs, including integration with larger software systems. Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and algorithm development tools. Experience with rapid-response R&D, including prototyping and experimental evaluation in dynamic environments. Strong problem-solving skills and the ability to More ❯

big data technologies (e.g., Hadoop, Spark). Experience in natural language processing (NLP). Familiarity with big data technologies and data engineering. Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar. Certification in cloud architecture or AI/ML is a plus. Select how often (in days) to receive an alert: EY refers to the global organization More ❯

engines (AWS, Azure, Google, etc.) Experience with large scale data processing tools (Spark, Hadoop, etc.) Ability to query and program databases (SQL, No SQL) Experience with distributed ML frameworks (TensorFlow, PyTorch, etc.) Familiarity with collaborative software tools (Git, Jira, etc.) Experience with user interface libraries/applications (Shiny, Django, etc.) Experience in developing ML or statistical models in the More ❯

core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE/editor of choice is welcome ;) Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. Excellent communication skills; both in customer-facing and internal team communication. Knowledge of MLOps is not essential, but More ❯