7 of 7 NumPy Jobs in South Wales

but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining … explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J-18808-Ljbffr More ❯

but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining … explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J-18808-Ljbffr More ❯

This role is designed to provide exposure to advanced concepts while building a strong foundation for your career. Key Responsibilities Develop and refine your skills in Python (e.g., Pandas, NumPy) and SQL for data manipulation and analysis. Support the development of machine learning models and algorithms, assisting in testing and validation processes. Contribute to research efforts by exploring and applying … for stakeholders. Participate in the design, testing, and documentation of scalable data services and tools. What We’re Looking For Required Skills and Qualifications Experience with Python (e.g., Pandas, NumPy) and SQL for data analysis. Basic understanding of machine learning concepts and an eagerness to expand your skills. Strong foundation in math and statistics (Degree in Math, Statistics, Computer Science More ❯

make data-driven decisions whilst collaborating with the Head of Data Science and the engineering team on a greenfield application. At the core of the stack, it's Python, Numpy/Pandas, SQL, and Azure, which will build your scalable and secure data infrastructure. Experience in hosting and deploying to the cloud is required. You'll work with GenAI and More ❯

make data driven decisions whilst collaborating with the Head of Data Science and the engineering team on a greenfield application. At the core of the stack, it's Python, Numpy/Pandas, SQL and Azure which will build your scalable and secure data infrastructure. You'll definitely need experience in hosting and deploying to the cloud. More excitingly, you'll More ❯

make data driven decisions whilst collaborating with the Head of Data Science and the engineering team on a greenfield application. At the core of the stack, it's Python, Numpy/Pandas, SQL and Azure which will build your scalable and secure data infrastructure. You'll definitely need experience in hosting and deploying to the cloud. More excitingly, you'll More ❯

classification, detection, facial recognition, etc.) Understanding of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice-to-haves: On offer More ❯