26 to 28 of 28 Use Case Jobs in Surrey

Science Trainer to deliver live, hands-on training sessions for aspiring and early-career professionals. The role involves mentoring learners through real-world use cases, guiding projects, and ensuring practical industry alignment. This is a contractual, remote engagement, ideal for professionals who enjoy teaching alongside their industry work. … Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions Assist with resume, portfolio, and career guidance sessions Conduct mock interviews/technical evaluations when ...

work closely with Senior and Lead Analysts, gaining hands-on experience investigating real-world incidents and understanding attacker behaviour. You'll use industry-leading platforms including Microsoft Sentinel, Google SecOps, Defender XDR, CrowdStrike Falcon, SentinelOne, and Cortex XSOAR/XSIAM to determine what has happened, how activity progressed … Participate in directed threat hunting activities. Suggest improvements to detections, dashboards, and SOC runbooks. Support testing and validation of new detection logic and use cases. Collaborate & Communicate Provide clear written updates to customers and internal stakeholders. Participate in structured shift handovers to ensure continuity within a 24/ ...

MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype, and deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch … streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes ...