5 of 5 Feature Engineering Jobs in Scotland

sources. • Translating domain knowledge into useful features and model inputs in close collaboration with subject matter experts. • Use both structured and unstructured data sources to carry out data wrangling, feature engineering, and root cause analysis. • Monitor model performance, retrain as necessary, and make sure models continue to be precise and understandable in real-world settings. • Ensure compliance to More ❯

CD pipelines to deploy machine learning models into production, ensuring scalability, reliability, and continuous performance monitoring with automated retraining workflows. You will also implement version control for models and feature sets to ensure reproducibility, traceability, and compliance with best practices. Using Azure and infrastructure-as-code tools (e.g., Azure Bicep, Terraform) you will automate and manage infrastructure for data … pipelines, machine learning model training, and serving. Additionally, you will establish infrastructure and engineering patterns to feature engineering and reuse across suite of models. Developing workflows for model validation, testing, and deployment, fully integrated with CI/CD systems, while enhancing resource utilization, to enable distributed processing, and optimize workflows for scalability, including GPU/TPU acceleration. … have experience managing machine learning infrastructure in production, working with infrastructure-as-code tools such as Azure Bicep, Terraform, ARM, CloudFormation or similar, and good practical experience in data engineering, for machine learning or general analytics use case. Additionally, having experience with Kubernetes or other platforms for containerized applications as well as working with orchestration systems such as Apache More ❯

Sports Modelling to join their Research & Development team. You will play a key role in enhancing and developing state-of-the-art sports models. This position involves data science, engineering, software development, and mathematics , providing opportunities to work on impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for machine learning … Qualifications Solid experience with machine learning , especially with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise in data shaping, preprocessing, and feature engineering . Excellent command of English , both written and spoken. Prior experience in the iGaming or sports modelling industry is advantageous. What’s on Offer An opportunity to More ❯

their Research & Development team. You will play a key role in enhancing and developing state-of-the-art sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for … Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise in data shaping, preprocessing, and feature engineering . Excellent command of English , both written and spoken. Prior experience in the iGaming or sports modelling industry is a strong advantage. What’s on Offer A More ❯

their Research & Development team. You will play a key role in enhancing and developing state-of-the-art sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for … Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise in data shaping, preprocessing, and feature engineering . Excellent command of English , both written and spoken. Prior experience in the iGaming or sports modelling industry is a strong advantage. What’s on Offer A More ❯