Boutique executive search specialists for global renewable energy projects.
Design and implement validation frameworks to ensure AI/ML models meet performance, accuracy, and reliability standards.
Conduct experiments and analyse model outputs, providing actionable insights to improve model performance.
Develop automated testing pipelines to streamline model validation processes.
Prepare and present validation results, metrics, and recommendations to stakeholders.
Ensure adherence to data governance standards and industry best practices.
Collaborate with Data Engineers, ML Engineers, and cross-functional teams to optimise data quality and model deployment.
Familiarity with cloud platforms (AWS, Azure, GCP) and production deployment of ML models.
Excellent problem-solving, analytical, and communication skills.
Proficiency in Python, R, or MATLAB, with experience in ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience preparing and wrangling large datasets for model validation.
Strong knowledge of statistical techniques, model evaluation metrics, and validation methodologies.
My client is seeking an experienced Data Scientist to join their technology team. The role focuses on validating and improving AI/ML models used in operational and infrastructure applications. The ideal candidate will have hands-on experience in model validation, data analysis, and working with large, complex datasets in production environments.
5+ years’ experience in AI/ML model validation, ideally in energy, smart infrastructure, or industrial automation.
Location: Birmingham, UK (Hybrid – 3 days in office)