1 to 25 of 192 Permanent TensorFlow Jobs

Master’s degree in Computer Science, AI, or related field, or equivalent experience.Experience creating LLM & RAG driven applicationsProficiency 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 excellent problem-solving more »

experience working in large and complex Data Driven environmentMinimum of 3 years of hands-on experience in AI/ML developmentProven experience in Python, TensorFlow, PyTorch or Similar FrameworksPrevious Experience building Predictive Models (e.g., Research Pricing, recommendation systems)Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes more »

demonstrate skills/knowledge such as; Experience within Energy markets (forecasting experience is a bonus!)Experience working across a range of ML models, e.g. TensorFlow and scikit-learn GitHub or Azure DevOps knowledge SQL knowledge is desired Good communication skills are required with the ability to discuss technical matters more »

trading environment is highly preferred. Technical Expertise: Expert knowledge of Python and its popular libraries like NumPy, Pandas, SciPy, Scikit-learn, Statsmodels ,QuantLib ,Matplotlib, TensorFlow ,PyTorch ,Zipline and Dash. Proficient in systems that handle high-throughput, low-latency data. Experience with big data technologies, SQL, and NoSQL databases. Familiarity more »

Experience in ASR systems with modern End2End architecture Hands-on experience in Acoustic Modelling with different Neural Network architectures and frameworks like Pytorch and TensorFlow Experience in language model training and adaptation pipeline. Experience in lattice rescoring with RNN or LLM models Deep understanding of decoding algorithms; WFST based more »

computing principles and experience with parallel programming models (e.g., MPI, OpenMP) for distributed AI processing. Deep understanding of AI model architectures, algorithms, and frameworks (TensorFlow, PyTorch) and their integration with specialised hardware platforms. What’s On Offer ~£80-120K + share options Hybrid working Guide long term roadmap more »

Role: Creative Technologist Pay rate: £550.00 - £600 Per day (PAYE) + Holiday pay Start: May 2024 Work Location: Hybrid working with 3 days in the office and 2 days from home Expected duration: 3 months (with a possibility to extend more »

implementing, and deploying machine learning models and algorithms in a production environment. Proficiency in machine learning and deep learning frameworks and libraries such as TensorFlow, PyTorch, or similar. Strong programming skills in Python or another relevant language. Deep understanding of recommender systems, search & ranking algorithms, and marketing analytics. Excellent more »

data (PostgreSQL preferred but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Delivering insights using visualisation tools or libraries (Javascript preferred) Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including more »

at least 3 years in a managerial role overseeing a team of engineers. Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data science principles, predictive modelling, and advanced analytics. Excellent problem-solving skills and the ability to think more »

Scientist You will have good experience using Python to build machine learning algorithms You will be proficient with ML tools such as Pytorch or Tensorflow, also any experience fine tuning open source LLM models would be a nice to have skill but not essential Ideally you will have trained more »

Machine Learning and Artificial Intelligence including ML and AI techniques to develop predictive models and enhance algorithmic strategies. Familiarity with libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularly useful. • Knowledge of risk management software and tools to monitor, measure, and manage the various types of more »

with relational databases, and programming experience in Python or Scala. Experience with Snowflake and its tooling (Snowpark, Snowpipe, etc.). Familiarity with Fivetran, DBT, TensorFlow, PyTorch, and other modern data stack components. Knowledge of data integration and ETL frameworks and tools. Understanding of DataOps, data mining, and data visualization more »

great prompt engineer. Experience with scripting languages such as PowerShell or Python, and a strong understanding of AI/ML libraries and frameworks, e.g. TensorFlow or PyTorch. Strong enthusiasm for Machine Learning, Cognitive Services, and innovative AI technologies (ChatGPT, LangChain, Hugging Face, etc), including a comprehensive understanding of large more »

along with a proven ability to integrate computer vision algorithms into the back end. Familiarity with popular computer vision libraries and frameworks like OpenCV, TensorFlow, and PyTorch. Knowledgeable about databases (including MySQL, MongoDB), web servers (like Apache), and principles of UI/UX design. Design front-end applications that more »

implement end-to-end machine learning pipelines for data preprocessing, feature extraction, model training, and deployment, using Python and machine learning frameworks such as TensorFlow or PyTorch. Optimize machine learning models for accuracy, speed, and scalability, considering factors such as data quality, computational resources, and business constraints. Develop and … of developing and deploying machine learning solutions in production environments. Proficiency in Python programming and experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with chatbot development frameworks and platforms (e.g., Dialogflow, Rasa) and knowledge of natural language processing (NLP) techniques and tools. more »

support the needs of users, creators and content stakeholders Preferred Qualifications Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines Deep understanding of the mathematical more »

distributed systems Proficiency in statistical NLP algorithms, including transformers, graphical models, and information retrieval techniques Python and scientific computing packages (pytorch, numpy, scikit-learn, tensorflow) Database technologies including ElasticSearch, Neo4j, and SQL Excellent interpersonal, verbal, and written communication skills A flexible attitude with respect to work assignments and new … matrix environment and to value the importance of teamwork. Knowledge and Experience : Experience with the following tools: Git, Github, scientific computing packages (pytorch, numpy, tensorflow), AWS S3, AWS EC2, JIRA, Confluence, Docker Experience in software engineering writing production-ready code Experience conducting and publishing research in NLP or Machine more »

or a related field. Strong background in deep learning, with hands-on experience in developing and implementing deep neural networks using frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). more »

with one or more of the following: generative models, segmentation, object detection, classification, model optimisations Experience working with machine learning frameworks such as PyTorch, TensorFlow or Keras Experienced with foundational Large Language Models (LLMs) APIs Experience in LLMs quantitative analysis Exposure to MLOps practices Familiarity with version control systems more »

deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance and reliability more »

particularly in the context of SLAM. Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction. Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. SALARY AND BENEFITS Competitive salary range: ££90,000 to £110,000 Equity ownership in the company. Comprehensive benefits package. HOW TO APPLY Please more »

vector processing experience(RISC-V Vector) Strong software development skills using standard development tools (e.g., Git, Jira, etc.) Basic understanding of machine learning frameworks (TensorFlow, PyTorch, etc.) Excellent problem-solving skills with a logical and analytical mindset Strong communication and interpersonal skills to collaborate effectively within a team environment 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 »

ML engineers, data scientists, and domain experts, fostering a collaborative and innovative culture. - Evaluate and select the appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges and drive automation across various service lines. - Collaborate closely with stakeholders, including the CTO, CEO, SVP of … ML solutions, from data ingestion and preprocessing to model training, evaluation, and productionization. - Strong programming skills in Python, with proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and data engineering tools (e.g., Kafka, Spark). - Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable and reliable more »