4 of 4 Remote Use Case Jobs in Crawley

level Salesforce Field Service transformation with the autonomy to lead real delivery. You'll work with experienced peers, world-class clients, and interesting use cases that push your technical and leadership abilities. If you're passionate about solving real-world problems, guiding teams, and turning complex requirements into ...

Microsoft Sentinel SIEM and/or Defender XDR complex project implementations for customers (remotely), starting with design and architecture, deployment, and use case tune-up. Create and develop new detection, automation, and reporting use cases per customer requirements. Assess and report maturity of client SIEM ...

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 ...

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 ...