376 to 400 of 425 Permanent TensorFlow Jobs

equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance More ❯

equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance More ❯

algorithms supporting global business Minimum Qualifications Master's in ML/Stats/CS (exceptional Bachelor's considered) 3+ years risk algorithm development Proficient in Python/SQL/TensorFlow/PyTorch English technical literature proficiency Preferred Qualifications Experience in cross-border anti-fraud/credit scoring Publications in top-tier conferences (KDD, ICML) Spark MLlib or distributed computing More ❯

and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI tenfold. Using tools like AWS SageMaker , Bedrock , TensorFlow , PyTorch , and GCP Vertex AI . What You'll Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications More ❯

and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI tenfold. Using tools like AWS SageMaker , Bedrock , TensorFlow , PyTorch , and GCP Vertex AI . What You'll Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications More ❯

and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI tenfold. Using tools like AWS SageMaker , Bedrock , TensorFlow , PyTorch , and GCP Vertex AI . What You'll Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications More ❯

What You'll Need 4+ years' proven experience in AI/ML research and production engineering. Exceptional coding skills in Python and deep familiarity with core ML frameworks (PyTorch, TensorFlow) and Hugging Face libraries. Practical experience deploying and maintaining machine learning models at massive scale, including robust knowledge of MLOps best practices. Strong problem-solving ability, comfortable navigating ambiguous More ❯

operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project management and stakeholder engagement skills. Demonstrated success in delivering measurable improvements through AI and automation. Desirable More ❯

operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project management and stakeholder engagement skills. Demonstrated success in delivering measurable improvements through AI and automation. Desirable More ❯

2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals More ❯

RequiredExperience Strongknowledgeofdatamodelling,machinelearning,and/oradvanceddataanalytics. Demonstrabletrackrecordofdeliveringdataanalyticsprojectsaspartofateam. Hands-onexperiencewithcollaborativesoftwaredevelopmentandversioncontrol(preferablyGit). FamiliaritywithAgile/SCRUMmethodologies. Exposuretopre-engagementactivitiessuchasprojectscoping,technicalfeasibilityanalysis,orprototypedevelopment. Comfortablecontributingtotechnicaldiscussionsandimplementingsolutionsdefinedbyprojectleads. DesirableExperience StrongPythonexpertise. ExperiencewithGNU/Linuxenvironments. FamiliaritywithkeydatascienceandMLframeworks(e.g.,scikit-learn,PyTorch,TensorFlow,XGBoost,HuggingFace). Experienceinnaturallanguageprocessing,tabulardataanalysis,orcomputervision. SQLproficiency. Exposuretocontainerisation(Docker,Kubernetes)andcloud-nativearchitectures. ExperiencewithCI/CD,automatedtesting,anditerativeproductdevelopment. Knowledgeofgraphdatabasesandgraphanalysis. Benefits Ourclientoffersanexcitingandsupportiveenvironmentwithastrongfocusonemployeewellbeingandcareerdevelopment.Benefitsinclude: 35daysannualleave(includingpublicholidays)plusupto10daysunpaidleave. Flexibleworkingarrangementsaroundcorehours. Privatehealthinsuranceandpensionscheme. Contributiontogymmembership. Ongoingprofessionaldevelopmentsupport(courses,certifications More ❯

development Key Details: Salary: $130–150k base (paid in GBP) + equity (4y vest, 1y cliff) + performance bonus Location: Fully remote, EMEA-friendly time zones Stack: Python, GCP, TensorFlow/PyTorch, LLM APIs Visa: Cannot sponsor Requirements: 3–6+ years DS/ML experience Strong Python & applied ML skills; end-to-end ML lifecycle experience Familiarity with modern More ❯

development. • Experience with parallel processing programming. • Understanding of standardization processes and standard-developing organizations (SDOs). Beneficial to have: • Knowledge of objective Visual Quality (VQ) assessment techniques. • Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI. • Experience in Intellectual Property development. • Experience presenting research findings at conferences and within video-centric forums. • Contribution to More ❯

development. • Experience with parallel processing programming. • Understanding of standardization processes and standard-developing organizations (SDOs). Beneficial to have: • Knowledge of objective Visual Quality (VQ) assessment techniques. • Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI. • Experience in Intellectual Property development. • Experience presenting research findings at conferences and within video-centric forums. • Contribution to More ❯

development. • Experience with parallel processing programming. • Understanding of standardization processes and standard-developing organizations (SDOs). Beneficial to have: • Knowledge of objective Visual Quality (VQ) assessment techniques. • Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI. • Experience in Intellectual Property development. • Experience presenting research findings at conferences and within video-centric forums. • Contribution to More ❯

development. • Experience with parallel processing programming. • Understanding of standardization processes and standard-developing organizations (SDOs). Beneficial to have: • Knowledge of objective Visual Quality (VQ) assessment techniques. • Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI. • Experience in Intellectual Property development. • Experience presenting research findings at conferences and within video-centric forums. • Contribution to More ❯

development. • Experience with parallel processing programming. • Understanding of standardization processes and standard-developing organizations (SDOs). Beneficial to have: • Knowledge of objective Visual Quality (VQ) assessment techniques. • Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI. • Experience in Intellectual Property development. • Experience presenting research findings at conferences and within video-centric forums. • Contribution to More ❯

moving, highly regulated industry. The Player You’re fluent in generative AI, from prompt engineering to deploying production-ready LLMs. You bring cloud-savvy skills, mastery of tools like TensorFlow or PyTorch, and a sharp eye for AI trends and ethics. You’re collaborative, curious, and ready to build intelligent systems that perform at scale. If you’re passionate More ❯

moving, highly regulated industry. The Player You’re fluent in generative AI, from prompt engineering to deploying production-ready LLMs. You bring cloud-savvy skills, mastery of tools like TensorFlow or PyTorch, and a sharp eye for AI trends and ethics. You’re collaborative, curious, and ready to build intelligent systems that perform at scale. If you’re passionate More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that … ll fit right in. Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team More ❯

Dr. Martin Frank and being part of the KIT's KCDS graduate school. Personal qualification Completed studies (master) in mathematics Knowledge of current deep learning frameworks (e.g., PyTorch or Tensorflow) and current AI models Interest in optimization theory, statistical learning theory or explainable AI Ability to work and publish in a targeted and scientific manner Good communication and presentation More ❯

immediate contribution and strengthen their profile in AI for neurotechnology through impactful short-term work. - AI/ML research, particularly deep learning using platforms such as Keras, PyTorch, or TensorFlow - Developing and testing novel or customised AI models for complex, noisy, real-world datasets - Software optimisation for high-performance computing on CPU and GPU clusters - VR/AR or More ❯

immediate contribution and strengthen their profile in AI for neurotechnology through impactful short-term work. - AI/ML research, particularly deep learning using platforms such as Keras, PyTorch, or TensorFlow - Developing and testing novel or customised AI models for complex, noisy, real-world datasets - Software optimisation for high-performance computing on CPU and GPU clusters - VR/AR or More ❯

OPS Engineer to join our growing teams in Erskine or Newcastle. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed More ❯

with 5+ years of relevant experience Strong expertise in data science, Bayesian modeling, probabilistic programming, and uncertainty quantification Hands-on experience with neural network analysis, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation Proficiency in Python, R, SQL, and data engineering tools such as Spark or Apache Beam and experience in designing, executing, and analyzing A/B … Develop scalable algorithms and automated data processing frameworks to optimize analytics workflows Technologies: AI AWS Azure Big Data Cloud ETL GCP Support Machine Learning Network PyTorch Python SQL Spark TensorFlow More: International crossfunctional teams working on cutting edge multimedia solutions. last updated 44 week of More ❯