201 to 209 of 209 PyTorch Jobs in the South East

the cutting edge of ML and sports tech. You'll ideally bring expertise in: Must-Haves: Python (strong programming fundamentals) Modern C++ (C+/20) TensorRT for model optimisation PyTorch, PyTorch-Ignite Linux & Windows 10 experience GIT and collaborative software development Nice-to-Haves: CUDA OpenCV CMake & Visual Studio Typescript & Semantic UI React SSH and secure deployment workflows Bonus Skills More ❯

non-technical audiences Strong stakeholder management skills Flexible approach towards hybrid working Nice to have: Working knowledge in AI related projects Working knowledge of tools such as Python/PyTorch/Tensorflow Proven experience in the Insurance industry Immediate availability What you need to do now If you're interested in this role, click 'apply now' to forward an up More ❯

Reinforcement Learning (or equivalent hands-on experience). Deep understanding of robot manipulation—both classical and ML-based approaches. Proficiency in Python & C++, and experience with ML frameworks like PyTorch or TensorFlow. Strong grasp of real-world robotic constraints and embedded systems. Excellent communication and a collaborative mindset. Bonus Points For Experience deploying robotic systems in real-world environments. Knowledge More ❯

Experience: 7–10 years of ML experience, with a strong record of transitioning research into production. Proven team leadership in a technical or research setting. Expert in Python and PyTorch; JAX is a plus. Strong foundation in data preparation, feature engineering, and model evaluation. Excellent communicator with the ability to adapt messaging for different audiences. Strategic mindset and leadership potential More ❯

engineering skills in Python, C++, or Rust Proven experience with GPU performance engineering: CUDA, PTX/SASS, Tensor Cores, memory hierarchy, warp-level primitives Familiarity with ML frameworks like PyTorch, and their internals Proficiency in profiling and debugging tools like NSight, CUDA GDB, nvprof, NSight Compute Deep knowledge of Triton, cuDNN, cuBLAS, CUTLASS, CUB, or similar libraries Experience optimising across More ❯

well as environmental sensor data such as humidity, temperature, and pressure. Key Responsibilities Develop machine learning models to detect anomalies and failure patterns in robotic components. Use Python and PyTorch to process real-time image and sensor data. Data Processing & Synthetic Data Generation Create synthetic datasets to enhance model training and failure mode analysis. Work with high-voltage equipment data … an in-house data scientist to process and analyze ML outputs. Set up and optimize machine learning pipelines for real-world deployment. Key Skills & Experience Proficiency in Python and PyTorch for model development. Experience working with image-based machine learning models, including optical, UV, and thermal imaging. Understanding of anomaly detection, predictive maintenance, and synthetic data generation. Experience with high More ❯

product to ship polished, scalable user interactions Essential Qualifications: Experience with real-time protocols (eg. WebSockets gRPC, MQTT, SSE or similar) Experience with implementing on-device machine learning (eg. PyTorch Mobile, ML Kit, TensorFlow Lite) Strong understanding of Android performance: lifecycle, coroutines, memory, and threading Familiarity with edge-friendly architecture: offline-first, sync queues, reactive flows Curiosity about behavioural data More ❯

Control system skills in either Siemens S7 or Allen Bradley PLC platforms would be beneficial but not a prerequisite. Experience with vision libraries and frameworks such as OpenCV or PyTorch would be a nice to have. You will also need to be able to demonstrate a track record of accomplishing your objectives, working proactively, and managing your own time effectively. More ❯

of the bet-placement platform. You will be part of a small team, working in a relaxed environment, and using a range of modern open-source tools like Jupyter, PyTorch and Spark. You will be working with terabytes of data, and will be part of a team that can quickly run experiments at scale in the markets, allowing the company More ❯