3 of 3 TensorFlow Jobs in Oxford

in AI/ML development and data science . Deep understanding of AI/ML algorithms , LLMs , GenAI , and automation frameworks. Proficiency with Python, R , and frameworks such as TensorFlow, PyTorch, scikit-learn, NumPy, pandas . Experience in data wrangling , data preprocessing , and statistical modelling. Skilled in data visualisation tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently More ❯

Code (IaC), and cloud provisioning (OCI, AWS, GCP, or Azure). Solid understanding of CI/CD pipelines and automated testing frameworks. Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with MLflow, Kubeflow, DVC, or similar MLOps tools . Understanding of cloud security principles , IAM, and networking best practices. Proficiency in Python and Bash scripting More ❯

advection–diffusion modelling Knowledge of probabilistic ML or hybrid modelling (combining physics and data-driven approaches) Familiarity with Bayesian inference, MCMC , or probabilistic programming frameworks (e.g., PyMC, Stan, or TensorFlow Probability) Operating data science/ML workloads at scale using tools such as Argo Workflows, Prefect or similar Experience working with geospatial data (e.g., GeoPandas, Shapely, Rasterio) Knowledge of More ❯