17 of 17 PyTorch Jobs in the Thames Valley

Requirements: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Bioinformatics, or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity with cloud platforms (AWS, GCP More ❯

SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins) and the ability to design and implement efficient CI More ❯

SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins) and the ability to design and implement efficient CI More ❯

SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins) and the ability to design and implement efficient CI More ❯

SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins) and the ability to design and implement efficient CI More ❯

SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins) and the ability to design and implement efficient CI More ❯

structured data pipelines including large image datasets Knowledge of modern data warehousing and data lake technologies Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods Linux system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in medical image More ❯

/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services (SageMaker, Lambda, Step Functions, etc.) * Solid understanding of serverless and event-driven More ❯

/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services (SageMaker, Lambda, Step Functions, etc.) * Solid understanding of serverless and event-driven More ❯

/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services (SageMaker, Lambda, Step Functions, etc.) * Solid understanding of serverless and event-driven More ❯

/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services (SageMaker, Lambda, Step Functions, etc.) * Solid understanding of serverless and event-driven More ❯

/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services (SageMaker, Lambda, Step Functions, etc.) * Solid understanding of serverless and event-driven More ❯

robotics, embedded systems, or IoT or edge devices. Experience with software engineering for manufacturing on industrial control. Familiarity with machine learning libraries (e.g., TensorFlow, PyTorch). Background in AI algorithms and hardware-accelerated computing. This is an expanding company who will give you the opportunity to shape software development practices More ❯

Experience coding embedded microcontrollers/IDEs/SBCs in Python/C + Experience programming firmware in C Bonus: + Experience with AI accelerators, PyTorch, Tensorflow, OpenCV, Linux, CNNs + Experience with gcode programming What you ll get: + £30-50k + Share options + Clear progression path to More ❯

Experience coding embedded microcontrollers/IDEs/SBCs in Python/C + Experience programming firmware in C Bonus: + Experience with AI accelerators, PyTorch, Tensorflow, OpenCV, Linux, CNNs + Experience with gcode programming What you’ll get: + £30-50k + Share options + Clear progression path to More ❯

A good understanding of modern machine learning techniques A good foundation of coding practices, preferably in Python A reasonable proficiency with Python Proficiency with PyTorch or TensorFlow A critical mindset and understanding of scientific principles Ability to work in a team of scientists and exchange views and ideas based on … Python API package such as FastAPI Experience developing software as part of a team Familiarity with version control systems, especially git High proficiency with PyTorch and TensorFlow Ability to confidently produce and deliver presentations on their work, within a team and to a wider audience Ability to create and maintain More ❯

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 … 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 More ❯