5 of 5 Remote Model Validation Jobs in Bolton

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

doing? • Advising clients on the impact of changing requirements in provision accounting standards (IFRS9) and Basel credit risk capital requirements (IRB). This will model review and validation activities such as: • Technical model development documentation review; • Assessment of model performance • Replication testing; and • Reviewing models’ against … accounting and risk requirements as related to IRB, IFRS9, and other regulatory credit risk models • Detailed working knowledge and experience of all aspects of model development and validation including the following: • Data extraction and pre-processing • Modular model development • User acceptance testing • Model performance assessments • Relevant More ❯

company’s data science organisation. Key Responsibilities: Design and deploy time series forecasting models with a strong focus on accuracy and scalability Improve existing model performance and drive innovation through new methodologies Develop internal ML and forecasting libraries using Python Translate product goals into technical solutions in collaboration with … leadership Implement validation frameworks, unit tests, and monitoring pipelines Stay current with advances in machine learning and apply them where appropriate Tech Stack: Python (Pandas, Polars, SciPy, Scikit-learn, NumPy) Dagster, Argo, GCP Kibana, Elastic DevOps-first approach for model deployment Skills & Experience: Essential: Strong background in statistics … with modern ML models (e.g. transformers, CNNs, attention mechanisms) Proficiency in writing production-level Python code Familiarity with CI/CD practices, testing, and model validation Confident working across teams and taking ownership of delivery Strong communication and problem-solving skills Desirable: Experience in demand forecasting or operations More ❯

and analytics infrastructure on Azure Collaborate with cross-functional teams to identify opportunities for data-driven improvements Establish best practices for data science workflows, model deployment, and monitoring Leverage AI tools to enhance productivity and accelerate project delivery Create dashboards, reports, and visualizations to communicate findings to stakeholders Mentor … Experience with Azure cloud platform and services Hands-on experience with AI productivity tools (e.g., GitHub Copilot, ChatGPT, etc.) Practical machine learning experience including model development, validation, and deployment Experience working with data platforms and infrastructure (any technology stack) Professional Experience: Proven track record of delivering data science More ❯

across Android/iOS devices. Manual and automation testing using Appium , XCUITest , TestFairy . Data/ETL Testing Ensures accurate data flow, transformation, and validation in data pipelines. Works with SQL, Informatica , Talend , SSIS , Snowflake . AI/ML Model Testing Test models for accuracy, bias, and performance. … Involves validating model predictions, fairness, and ethical AI compliance. Seniority Level Associate Industry IT Services and IT Consulting Employment Type Full-time Job Functions Information Technology Skills Test Automation Functional Testing Vulnerability Assessment and Penetration Testing (VAPT) Test Management Selenium More ❯