526 to 550 of 712 Remote TensorFlow Jobs

s degree (or equivalent) in 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 data. Bonus: exposure to reinforcement More ❯

s degree (or equivalent) in 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 data. Bonus: exposure to reinforcement More ❯

with SQLAlchemy or other Python 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 insurance Generous annual leave and More ❯

with SQLAlchemy or other Python 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 insurance Generous annual leave and More ❯

in Computer Vision, CNNs, and 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 medical devices (FDA 510k, MDR More ❯

Actions, Jenkins, or CircleCI Hands-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 we offer: Hybrid work More ❯

technical knowledge of AI concepts, 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, model monitoring, and versioning Experience More ❯

science/AI roles, with 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 sets and derive actionable insights More ❯

refining, scaling, and integrating machine 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 models for triage, predictive analytics More ❯

3+ years' experience in programming/scripting languages (e.g., Python, C, C++, Java, Shell) 3. 2+ years' experience with machine learning algorithms and using Python deep learning libraries like TensorFlow 4. 2+ years' experience in developing content for application notes and/or quick start guides Technologies: What does this temp must know to perform the required job duties More ❯

Electronic Engineering, Artificial Intelligence, Machine 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/graphics processing or computer More ❯

to impactfully solve their problems. 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 experience with signal processing and More ❯

to impactfully solve their problems. 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 experience with signal processing and More ❯

to impactfully solve their problems. 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 experience with signal processing and More ❯

security best practices . Prior 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 details: Full time, permanent role More ❯

stakeholders on security topics Familiarity 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 Lead at either the specialist More ❯

well as the tools and 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 GitHub or Azure DevOps knowledge More ❯

our customers. Bonus points for: 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 Operations manager to talk about More ❯

security best practices . Prior 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 time, permanent role Hybrid working More ❯

to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. Strong knowledge of linear algebra, calculus and statistics. Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics More ❯

how they address specific business challenges. Coding & Implementation: Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments. Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions. Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous More ❯

high performance ML-driven products. 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 experience with signal processing and More ❯

Who are we? Hi! We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving More ❯

CS/EE or related 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, GPU, NPU) Experience with distributed More ❯

Mathematics, or a closely related field. Demonstrated experience in benchmarking foundational models for real-world applications. Experience in machine learning and developing AI models in frameworks such as Pytorch, TensorFlow, FSDP, Ray, and so forth. Expertise in one or more AI areas, including transfer learning, model distillation, surrogate models, and reinforcement learning. Research experience in designing and developing domain More ❯