17 of 17 Remote/Hybrid PyTorch Jobs in the South East

Strong experience developing and deploying machine learning models in production environments. Excellent Python development skills and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong understanding of MLOps, CI/CD principles, and model lifecycle ...

Experience in data and system engineering for large-scale model workflows Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch) Fluent with at least one of the following tools: Cursor, Windsurf, Trae, Gemini CLI, Claude Code, or Codex (or similar) Experience in applying, fine-tune ...

Proven experience building recommendation systems , personalisation platforms, or ranking models. Strong programming skills in Python . Experience with machine learning frameworks such as TensorFlow , PyTorch , or Scikit-learn . Strong understanding of feature engineering and large-scale data processing. Experience building and maintaining data pipelines. Knowledge of MLOps , model deployment ...

experience with technologies such as Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience deploying, monitoring, and optimising AI solutions ...

processes. Experience in translating customer requirements into technical requirements and development objectives. Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc...), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). Proficient in SQL. Working with unstructured data Building customer and stakeholder relationships. Supporting ...

processes. ·Experience in translating customer requirements into technical requirements and development objectives. ·Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc...), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). ·Proficient in SQL. ·Working with unstructured data ·Building customer and stakeholder relationships. ·Supporting ...

Hands-on GitHub usage — branching strategies, release management Agile/Scrum delivery experience with JIRA/Confluence Exposure to AI/ML frameworks (TensorFlow, PyTorch) and model lifecycle management — beneficial Experience with transaction monitoring (e.g. Actimize), sanctions screening (e.g. Fircosoft), or market/trade surveillance platforms — beneficial but not essential ...

move from research and backtesting into live trading. Key Responsibilities Build and improve predictive models for sports betting markets using TensorFlow/Keras, PyTorch or similar. Develop features from historical match data, player performance, Elo/rating systems, market odds and other sports data. Develop probability models and calibration techniques ...

implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer and stakeholder relationships. Supporting and leading ...

Strong scientific programming skills in Python , with experience in C++, MATLAB, or similar languages desirable . Experience with a deep learning framework such as PyTorch, TensorFlow, or JAX (desirable). Experience with engineering simulation tools relevant to CFD, hydrodynamics, or vessel performance, such as STAR-CCM+. Understanding of naval architecture ...

following areas: 3D perception, point cloud processing, or sensor fusion (e.g. LiDAR, depth cameras, IMU) Computer vision using classical or learning-based methods (OpenCV, PyTorch, TensorFlow) Machine learning or deep learning, particularly applied to spatial or structured data Robotics development, including familiarity with ROS or ROS2 Across all backgrounds ...

safe navigation. Are confident developing in Python and/or C++ and have experience with relevant robotics, computer vision or perception tools such as PyTorch, OpenCV or Open3D. Have experience developing computer vision and perception solutions, which could include object detection, segmentation, image processing, 3D perception, scene reconstruction, spatial reasoning ...

safe navigation. Are confident developing in Python and/or C++ and have experience with relevant robotics, computer vision or perception tools such as PyTorch, OpenCV or Open3D. Have experience developing computer vision and perception solutions, which could include object detection, segmentation, image processing, 3D perception, scene reconstruction, spatial reasoning ...

ideal candidate will possess a Ph.D. and a strong background in classic machine learning as well as practical experience with Python frameworks like PyTorch and TensorFlow. This position offers a competitive salary and a blend of office and remote work. #J-18808-Ljbffr ...

approaches to NLP and related ML problems. The role demands a Ph.D. with strong NLP/ML background, publications, and hands-on experience with PyTorch, TensorFlow, and large datasets. 3 days in office, 2 days remote, with a competitive GBP salary and benefits. #J-18808-Ljbffr ...

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance ...

Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in Google Cloud, supporting ML teams by enabling efficient … work closely with ML engineers and researchers, ensuring that large volumes of unstructured and structured data can be reliably accessed, processed, and consumed by PyTorch-based systems. Key Responsibilities Design and build cloud-native data pipelines using Python on GCP Manage large-scale object storage for unstructured data (Google Cloud ...