451 to 475 of 662 Remote TensorFlow Jobs

ICLR, NeurIPS, AAAI, WWW, KDD, or related A problem-solver with experience with Python, R, or similar languages. Experience with tools like CausalML, EconML, TensorFlow, PyTorch, Scikit-learn, Ray, etc., is a strong plus You have experience with hands-on skills in sourcing, cleaning, manipulating, analysing, visualising and modelling More ❯

Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes). Solid grounding in computer vision and experience with large-scale More ❯

Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes). Solid grounding in computer vision and experience with large-scale More ❯

Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes). Solid grounding in computer vision and experience with large-scale More ❯

ORMs Previous exposure to Ad-Tech tools and datasets (DSPs, SSPs, IP ranges, user identifiers, etc.) Understanding of ML tools and libraries (e.g. PyTorch, TensorFlow, Pandas, NumPy) Benefits of joining them: Competitive salary plus performance-based bonus and equity Fully remote within the UK Private health, dental, and vision More ❯

ORMs Previous exposure to Ad-Tech tools and datasets (DSPs, SSPs, IP ranges, user identifiers, etc.) Understanding of ML tools and libraries (e.g. PyTorch, TensorFlow, Pandas, NumPy) Benefits of joining them: Competitive salary plus performance-based bonus and equity Fully remote within the UK Private health, dental, and vision More ❯

Deep Learning . Medical imaging experience – Worked with CBCT scans, X-rays, MRIs, or other 3D imaging technologies . Programming skills – Proficiency in Python, TensorFlow, PyTorch, OpenCV, and C++ . Data handling – Experience in processing, annotating, and managing large-scale medical datasets . Regulatory knowledge – Understanding of AI in More ❯

on with monitoring tools like Prometheus and Grafana Nice to have: Experience building Developer Experience (DevX) tools and workflows Familiarity with GPU setups (CUDA, TensorFlow, etc.) Strong networking and network security knowledge Linux/Unix skills and shell scripting A degree in Computer Science or a related field What More ❯

including Gen-AI, Natural Language Processing (NLP), machine learning, and data science principles Familiar with AI/ML tools and frameworks such as PyTorch, TensorFlow, or Azure Machine Learning, understanding of data architecture and pipelines to enable seamless integration of AI solutions, MLOps practices, including CI/CD pipelines More ❯

at least 5 years in a leadership position. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras) and libraries (e.g. scikit-learn, Theano), demonstrating technical capability to build, optimise, and deploy AI models. Strong aptitude for analysing complex data More ❯

/or information to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Why join them: Be part of a thriving, well More ❯

programming languages: strong skills in Python, Java, or C++ for developing and integrating AI applications Experience with AI and machine learning frameworks: familiarity with TensorFlow, PyTorch, or scikit-learn Knowledge of data structures and algorithms: solid understanding to optimize performance and scalability Expertise in software development and deployment: experience More ❯

learning into the platform. ️ Tech Stack We’re Using * Frontend: React (Next.js) * Backend: Node.js + Express * Database: PostgreSQL * AI/ML: Python (scikit-learn, TensorFlow), OpenAI, LangChain (future phases) * Hosting: AWS/Vercel Your Responsibilities * Build and maintain scalable APIs and UI for healthcare modules. * Integrate AI/ML More ❯

languages such as Python, Java, or C++ for developing and integrating AI applications Experience with AI and machine learning frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or scikit-learn to work effectively with AI models Knowledge of data structures and algorithms: Solid understanding of data structures, algorithms, and software More ❯

Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video More ❯

Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical More ❯

Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical More ❯

Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with More ❯

experience with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. More More ❯

with the AI/ML hardware stack (e.g. GPUs, TPUs, data center design) Familiarity with the AI/ML software stack (e.g. CUDA, PyTorch, TensorFlow, Ray) Experience working on AI research, ML model training, or model deployment Experience with securing AI systems Education Requirements RAND is hiring a Research More ❯

techniques used What skills, experience and qualities are we looking for? Python - strong knowledge required Experience working across a range of ML models, e.g. TensorFlow and scikit-learn More than 4 years of experience in the energy industry, with a specific focus on forecasting the short-term power markets More ❯

Experience with developing and deploying applications for Windows desktops or embedded systems. Experience with privacy, security, or qualifications in machine learning. Experience using PyTorch, TensorFlow for machine learning, or NumPy for general data science tasks. The interview process: Getting to know you: 30 minute chat with our People and More ❯

experience with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. Full More ❯

Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical More ❯

research experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU More ❯