51 to 75 of 136 TensorFlow Jobs

one year of experience Python coding expeirence Experience in libraries like NumPy, SciPy, and Pandas Experience with deep learning frameworks such as PyTorch and TensorFlow Experience using GIT, or other codebases. Dat Science or Mathematics degree would be beneficial, but not essential. Bonus: Proficiency in using advanced Python libraries more »

and relevant experience working as an Machine Learning Engineer/AI Engineer Strong foundation in Python Excellent knowledge of ML libraries and frameworks like TensorFlow, PyTorch, Keras and scikit-learn. Experience with neural network architectures, deep learning techniques, and building and training deep learning models. Creating and handling large more »

Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau more »

degree in Computer Science, AI, or related field, or equivalent experience. Experience creating LLM & RAG driven applications. Proficiency in programming with tools like Python, TensorFlow, and PyTorch. ML Deployment with services like Sagemaker, AzureML, VertexAI etc. A keen understanding of AI ethics and responsible AI deployment. Innovative thinking and more »

Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/ more »

ecosystem (Lab, Notebook) and related libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning more »

Desirable Software Development experience, especially with containerised software in Docker and/or Singularity Experience Desirable Experience implementing deep neural networks in PyTorch or TensorFlow Experience Desirable Experience analysing Genomic/Transcriptomic datasets Skills Essential Ability to develop computational approaches to analyse data to solve problems Skills Desirable Strong more »

or related field. Strong proficiency in programming languages commonly used in machine learning, preferably Python. Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proven track record of developing and implementing machine learning solutions in a professional setting. Passion for exploring new more »

PhD and publications. Strong experience with Python. Cloud infrastructure is beneficial (Ideally GCP but AWS and Azure is fine). Knowledge of ML libraries (TensorFlow, PyTorch, NumPy, and Pandas etc). Knowledge of Computer Vision. Nice-to-Have Skills or Background: Experience in genomics or bioinformatics research projects in more »

managing a team of Junior Data scientists Proficiency in data forecasting, analysis, prediction, and deriving trading signals from datasets. Extensive hands-on experience with TensorFlow (and/or Keras), scikit-learn, and related tools, coupled with a strong command of Python. Robust analytical and mathematical abilities essential for model more »

Experience in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative AI techniques. Proficiency in AI frameworks such as TensorFlow, PyTorch, or similar. Proven track record of leading technical teams in the development of AI solutions, with strong team-building, mentoring, and coaching skills. more »

machine learning algorithms, statistical methods, and AI techniques. Proficiency in programming languages such as Python, R, or similar, and experience with machine learning frameworks (TensorFlow, PyTorch, etc.). Proven track record of conducting AI/ML research, with publications in top-tier conferences and journals. Familiarity with the fintech more »

and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved more »

Models, specifically in Visual Language Models, Large Language Models, Vision Transformers, or Diffusion Models Desired Experience: Familiarity with software libraries and frameworks like PyTorch, TensorFlow, SciKits, Kaldi, OpenCV, and CUDA Background in software engineering and development Relevant experience through internships or research positions in academic or industrial R&D more »

smoothly work with AR solutions. Solid background in machine learning and AI, particularly in an AR setting. Proficiency in utilising machine learning frameworks like TensorFlow, PyTorch, and programming languages such as Python, Java, and C++. Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a more »

year working in a professional setting) with experience in libraries like NumPy, SciPy, and Pandas Experience with deep learning frameworks such as PyTorch and TensorFlow Ability to write maintainable and efficient code under deadlines Proficiency in Git, and experience working collaboratively on codebases Excellent problem-solving skills with a more »

ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning more »

ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning more »

ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the-art implementations Familiarity with more »

Scripting). - Strong experience with UNIX operating system, particularly the command line interface. - Demonstrable experience in common AI/ML frameworks such as PyTorch, TensorFlow, OpenNN. - Knowledgeable in different types of neural networks and other ML techniques, including Gaussian Processes, confidence measures, clustering techniques, and application of neural networking more »

/C++ or other OO programming language Signal processing Image processing algorithms Data processing libraries e.g. Pandas, NumPy, SciPy ML & Big Data libraries e.g. TensorFlow or SKLearn Data communication with external devices using UDP/TCP sockets on POSIX compliant systems. TDD CI/CD Networking and IOT applications more »

working in the world of NLP Prior experienced developing generative models BIG love of working on complex, transformational projects Skills with AWS, Python, PyTorch, TensorFlow and Git Excellent communication skills and the ability to work cross-functionally Interested ? Apply now or reach out to daisy@wearenumi.com for further details more »

experience developing and deploying machine learning models in a production environment - ideally in a start-up or scale-up. - Machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn). - Python - Big data processing tools (e.g., Spark). The role offers a salary range of between £70-100K depending more »

in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and more »

or AWS experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package We have interview slots lined up more »