4 of 4 Remote Use Case Jobs in Newcastle upon Tyne

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 ...

UK. Key Responsibilities 1. Machine Learning Model Development Design, develop, train, and evaluate machine learning models for prediction, classification, recommendation, or automation use cases. Apply supervised, unsupervised, and deep learning techniques as appropriate. Perform feature engineering, model tuning, and validation to improve accuracy and performance. 2. Productionisation & Deployment … Ensure data quality, reproducibility, and versioning. 4. MLOps & Automation Implement MLOps practices including CI/CD for ML, model versioning, and experiment tracking. Use tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML. Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ...

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 ...