426 to 450 of 2,047 TensorFlow Jobs

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 ❯

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 ❯

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 ❯

in various programming languages, frameworks including DLT/Blockchain (e.g. Solidity/Ethereum and others), with tools for data analysis and AI development, also desired (such as Python, R, TensorFlow, PyTorch, Scikit-learn, etc); Familiar with various data sources, formats, and standards, such as APIs, JSON, XML, CSV, etc, and detail-orientated; Experience in developing and deploying applications and More ❯

for the GenAI Engineer role, you bring a wealth of experience in machine learning and NLP roles. Your strong proficiency in Python, deep learning frameworks such as PyTorch or TensorFlow, and GenAI libraries will be essential to your success in this role. You have hands-on experience with vector search, embedding models, and retrieval pipelines. Your familiarity with prompt … skills will be invaluable in our fast-paced environment. 3+ years of experience working in machine learning/NLP roles. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries. Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model outputs. Experience working with More ❯

hands-on experience in applied machine learning. Strong history of end-to-end ML implementation, from concept to production at scale. Expertise in Python and modern ML frameworks (PyTorch, TensorFlow). Demonstrated ability to identify high-impact opportunities and deliver measurable results. What Sets Great Candidates Apart: Experience with or strong interest in emerging AI technologies, including Agentic AI … years of hands-on experience in applied machine learning, including building and deploying models in production. Strong programming skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow). Proven track record of delivering business value through ML solutions in production environments. Experience with end-to-end ML lifecycle, from research/prototyping to deployment at scale. More ❯

in Maths, AI, or Computer Science Excellent theoretical grounding in AI/ML Creativity in model design and problem-solving Proficiency in Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) Bonus: fluent in German, French, or Spanish Role Highlights: £80,000–£100,000 salary plus bonus (depending on experience) UK-based | Remote-first with occasional European travel Flexible, research More ❯

/PhD in Computer Science, 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 Familiarity with distributed computing tools More ❯

following essential skills and qualifications: Hold an active Security clearance (Ideally Top Secret with SCI Poly) Strong programming skills in Python, with experience in machine learning libraries such as TensorFlow, PyTorch, or scikit-learn Proficient in data manipulation, feature engineering, and model evaluation techniques Solid understanding of different machine learning algorithms and their applications Experience deploying machine learning models More ❯

on knowledge of data preprocessing techniques and feature engineering Familiarity with cloud-based development and deployment environments. Understanding of MLOps principles and deployment pipelines. Experience with deep learning frameworks (TensorFlow, PyTorch) and neural network architectures Understanding of time series analysis and advanced forecasting technique Apply now to join our innovative team and help shape the future of AI More ❯

analysis and development. - Experience with statistical analysis, machine learning, and mathematical modeling techniques. - Familiarity with data analysis libraries (e.g., pandas, NumPy, SciPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Excellent analytical and problem-solving skills, with a keen attention to detail. - Effective communication skills and ability to work collaboratively in a team environment. - Fluency in English More ❯

Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep More ❯

Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep More ❯

Strong knowledge of statistical techniques and validation metrics. Proficiency in Python, R, or MATLAB. Experience with data wrangling, feature engineering, and dataset preparation. Familiarity with machine learning frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with cloud platforms (AWS, Azure, GCP) and deploying models. Ability to use data visualization tools like Tableau or Power BI. Nice-to-Have Skills Knowledge More ❯

field. 1-2 years of relevant experience or strong internship/project background in machine learning, particularly computer vision. Proficiency in Python, with familiarity in libraries such as OpenCV, TensorFlow, or PyTorch. Understanding of modern deep learning frameworks (CNNs, YOLO, Vision Transformers). Experience with managing datasets, including annotation and preprocessing. Good problem-solving skills and eagerness to learn More ❯