1 to 25 of 1,381 TensorFlow Jobs

related field • Proven experience in data science and machine learning, with a focus on natural language processing and LLMs. • Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, or similar. • Strong understanding of data preprocessing techniques, feature engineering, and model evaluation metrics. • Experience with secure data handling and the ability to work within restricted environments. • Excellent More ❯

engineering or data science roles Demonstrated ability to manage and deliver complex projects Technical Skills Strong Proficiency in programming languages such as Python Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) Experience with cloud-native ML development (Azure, AWS) Strong understanding of computer vision techniques and tools Familiarity with large language models and natural language processing as well as More ❯

radar signal pre- and post-processing In-depth knowledge of machine learning algorithms and programming languages such as Python, C, or C++ Experience with common machine learning frameworks like TensorFlow, PyTorch, etc. Working experience in real-world projects or internships relevant to the PhD topic Very good English language skills, both oral and written Knowledge of German is a More ❯

to connect with customers, employees, and partners. As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver More ❯

Proficiency in CI/CD, DevOps practices, and deploying reliable, tested, automated data solutions Strong programming skills in Python and SQL, familiarity with ML frameworks such as scikit-learn, TensorFlow, PyTorch, or Azure ML is a plus You're comfortable with containerization and modern software deployment practices like CI/CD, monitoring, automation and testing. Outstanding communication skills in More ❯

Mechanical Engineering, etc. Expertise in control design and machine learning, especially in Reinforcement Learning Very good programming skills in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, etc. Hands-on experience through real-world projects, such as student projects, internships, or prior work experience High level of commitment, initiative, and teamwork Good communication skills Fluent in More ❯

in AI and deep learning with very good academic performance Excellent programming knowledge and experience in Python and/or C++. Experience with common machine learning frameworks such as TensorFlow, PyTorch, Keras, Caffe etc. is an advantage High level of commitment, initiative and teamwork. Independent, goal-oriented and systematic way of working make you the ideal candidate Proven hands More ❯

experience implementing ML lifecycle management (source control, CI/CD for models, model registries, etc.) on Azure or similar platforms. Proficiency in Python and common ML frameworks (scikit-learn, TensorFlow/PyTorch) and experience with code review and DevOps processes. Leadership & Communication: Excellent leadership and interpersonal skills. Able to interface with client stakeholders to explain complex AI concepts in More ❯

experience implementing ML lifecycle management (source control, CI/CD for models, model registries, etc.) on Azure or similar platforms. Proficiency in Python and common ML frameworks (scikit-learn, TensorFlow/PyTorch) and experience with code review and DevOps processes. Leadership & Communication: Excellent leadership and interpersonal skills. Able to interface with client stakeholders to explain complex AI concepts in More ❯

experience implementing ML lifecycle management (source control, CI/CD for models, model registries, etc.) on Azure or similar platforms. Proficiency in Python and common ML frameworks (scikit-learn, TensorFlow/PyTorch) and experience with code review and DevOps processes. Leadership & Communication: Excellent leadership and interpersonal skills. Able to interface with client stakeholders to explain complex AI concepts in More ❯

Maintenance Experience of using the Unified Modelling Language Excellent communication skills Desirable: Experience in the development of computer vision related products and services. Experience with visual processing libraries; OpenCV, TensorFlow, PyTorch etc. Experience operating as part of a multidisciplinary team Experience developing and/or implementing reference architectures Benefits: Annual Company Bonus 25 Days holiday not including bank holidays More ❯

Required qualifications to be successful in this role • Proven experience in enterprise architecture, projects specifically in AI/ML systems design • Deep understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP) • Strong experience with data architecture, pipelines and governance (e.g., data lakes, ETL, MLOps) • Knowledge of regulatory and ethical considerations in More ❯

algorithms, and data science principles. • Excellent problem-solving and analytical skills. • Ability to communicate complex technical concepts to non-technical stakeholders. • Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (e.g., AWS, Azure, Google Cloud). • Ability to work independently and as part of a team. #CF-1 Skills: Agile Delivery Management Kanban Solutions Architecture More ❯

developers. You will have a strong record of securing funding for and delivering innovative R&D. Experience in software development in Python Experience with at least one ML framework: TensorFlow, Pytorch. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph More ❯

you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible Security Clearance More ❯

algorithms, and data science principles. • Excellent problem-solving and analytical skills. • Ability to communicate complex technical concepts to non-technical stakeholders. • Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (e.g., AWS, Azure, Google Cloud). • Ability to work independently and as part of a team. Skills: Agile Delivery Management Kanban Solutions Architecture What you More ❯

or a related field 12+ years of experience in software engineering, with a focus on machine learning or natural language processing Strong expertise in deep learning frameworks such as tensorFlow, pyTorch, or MXNet Proficiency in programming languages such as python, C++, or java Solid understanding of LLM architectures, training techniques, and evaluation methodologies Familiarity with cloud platforms (e.g., AWS More ❯

and generative models for the next. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly A top degree in a STEM subject UK national More ❯

Excellent communication and collaboration skills to effectively lead cross-functional teams and interact with diverse stakeholders Proficiency in data analysis tools (e.g., SQL, Python, R), machine learning frameworks (e.g., TensorFlow, PyTorch) and predictive analytics techniques strongly preferred Hands-on experience with Salesforce Marketing Cloud, including Journey Builder and Personalization module strongly preferred Experience in healthcare, technology, or related industry More ❯

or similar) - 3+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch) PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation) - AWS Professional certifications (e.g. More ❯

or similar) - 5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch) PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation) - AWS Professional certifications (e.g. More ❯

enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As … on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research More ❯

extending all of this for the Neuron based system is key. Key job responsibilities This role will help lead the efforts building distributed training and inference support into Pytorch, Tensorflow, Jax using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on More ❯

coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Experience with inference frameworks such as vllm, PyTorch, TensorFlow, TensorRT etc. Proficiency in performance optimization on GPU or Trainiums Proficiency in kernel programming for accelerated hardware using programming models such as (but not limited to) CUDA Experience with More ❯

or similar) - 5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch) PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation) - AWS Professional certifications (e.g. More ❯