1 to 25 of 44 Permanent PyTorch Jobs with Remote Work Options

have current experience working on the development of SNNs, with strong coding skills in C++ and a knowledge of Cuda. Experience in Python and Pytorch would also be valuable. Postgraduate or post-doctoral experience in working on SNNs would be an advantage. Experience working on SNN development in a commercial more »

y.Linux use and admi n.Experience deploying cloud services (AWS is a bonus ).Experience with Docker and Kubernete s.Using frameworks such as AirFlo w.ML background - PyTorch for computer visio n. This is a fully remote role which comes w ith: Budget for WFH se t up.Stock opt ions.25 days annual l more »

Data Science & ML Consultant Location: London – Hybrid Employment: Full Time All applicants must hold a DV (Developed Vetting) clearance to apply. The Opportunity: For the Ministry of Defence (MOD), maintaining national security is a 24-hour-a-day, 365-day more »

for developing and managing robotic systems. . Use GitLab for version control and continuous integration/continuous deployment (CI/CD) processes. . Leverage Pytorch and Roboflow for model training, evaluation, and deployment. . Conduct thorough testing and debugging of computer vision applications. . Stay updated with the latest advancements more »

Role: Computer Vision Engineer x2 Salary: £40-50k & £70-90k (senior) Location: Oxfordshire (Remote/Hybrid) We are really excited to partner with a super cool start-up that has recently achieved Series A funding and is on more »

with Azure Databricks desirableSolid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable.Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB.Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes more »

Technical Experience: Proficiency in Java, Kotlin, or Python. Experience with NLP, ML-Ops, and data pipelines. Familiarity with ML frameworks such as TensorFlow or PyTorch Strong understanding of ML algorithms, statistical techniques, and data analysis. Experience with AWS or other cloud technology Background in AI/ML-based analytics products more »

in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the-art implementations Familiarity more »

Have worked on AI explainability ● Have a working knowledge of C/C++ ● Have some familiarity multi-GPU accelerated AI research, particularly using the pytorch framework ● Have worked with containers and their orchestration, as well as other MLOps tasks ● Are familiar with AWS machine learning services ● Worked in a start more »

years of industry experience working with ML models for system performance analysis. Strong background with CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at leading NPU, CPU, GPU, semiconductor manufacturer. Knowledge of system modelling/simulation more »

developing performance architecture of NPU/GPU/CPU/AI accelerators ML model training, quantization, sparsity, model preprocessing etc. Software-hardware co-design PyTorch, TensorFlow NCCL, OpenMPI C/C++, Python Verilog, RTL What’s on offer? The succesful Architect is most likely to achieve a six-figure salary more »

ML. Looking for: -Data Engineering + Data Science Experience -Strong ETL Experience -Experience with Computer Vision -Experience in Remote Sensing highly desirable Stack: Python, PyTorch, AirFlow, PySpark (equivalent tools are fine more »

Experience working on very complex systems Strong experience with Computer vision Longevity in their previous roles Experience with Remote Sensing highly desirable Stack: Python, PyTorch, AirFlow, PySpark (equivalent tools are fine more »

for object recognition and image classification. Experience with motion analysis, text recognition, and gait analysis would be beneficial. Proficiency in Yolo v5, Python, Anaconda, PyTorch, CUDA, Docker, CVAT, and FiftyOne. My client offers a hybrid working model, balancing flexibility and team collaboration. Their supportive and dynamic culture ensures you have more »

Opportunity to work on emotionally intelligent AI avatars, transforming e-learning and customer experiences. Role: Computer Vision Engineer Location: London (Hybrid ) Salary: £80,000 (generous stock options) I'm hunting for innovative Computer Vision Engineers who are ready to reshape more »

solutions Team leading and project management experience Extensive experience with Python, JavaScript or R Hands-on work with AI-related tools such as Tensorflow, PyTorch, LangChain or LlamaIndex Stakeholder management and ability to communicate with non-technical stakeholders regarding AI concepts Looking to grow your career further towards AI development more »

journey to build their AI practice and a team around you. Required Skills: Building cloud and native machine learning architecture with: LLamaIndex, HuggingFace, SentenceTransformers, PyTorch, Python, Apache Spark. Experience with practical application of AI and scaling AI with these tools Experience in Health Care is essential We would love to more »

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). Solid understanding more »

CI/CD. Has a strong opinion on their IDE/editor of choice Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential.Knowledge of MLOps is not essential, but some awareness of this emerging space is good to have.Experience more »

with Computer Vision models, 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 BENEFITSCompetitive salary range: 65,000-90,000.Equity ownership in the company.Comprehensive benefits package.HOW TO APPLYPlease register your interest for this role more »

defining, developing and testing API functionality, JavaScript, C++ and developing for scalability and systems architecture is required. Experience in networking, data management, machine learning, Pytorch, Tensorflow, Keras, and/or Cuda is desirable.Systems Integration Specialist- job responsibilities:Apply existing knowledge and experience of systems integration to the process of integrating more »

Desired Skills: Individuals in this role are expected to be accomplished in computational biology or machine learning. Experience using a deep learning frameworks like PyTorch, Tensorflow and/or Jax. Experience with any of the following biological topics would be a plus; Cryo-EM/ET data analysis: denoising, filtering more »

NPUs/GPUs. Understanding of NPU (neural processing unit) hardware and software. Strong knowledge of CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at NPU, GPU, semiconductor manufacturers. What’s on offer Competitive Salary (£120k) Hybrid more »

deliver superior software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). more »

balancing the internal needs of Arm with those of the community. Experience building or using industry standard programmer's interfaces. Expert understanding of Tensorflow, PyTorch, Apache TVM, or comparable inference frameworks. Expert understanding of AI training, quantization and visualization tools. Proven experiences with LINUX. Comfortable presenting technical topics to both more »