1 of 1 Remote Model Validation Jobs in Chester

and measurable outcomes Demonstrate system-level thinking, considering architectural choices, data dependencies and integration across the wider data platform Develop and maintain production-grade ML systems including retraining strategies, model lifecycle management, monitoring and alerting Act as a trusted technical authority, reviewing and challenging project design, methodology, and outputs Drive adoption of CI/CD practices, unit testing, and … for tooling, technologies and approaches that support scalable, sustainable data science delivery Mentor and develop less experienced data scientists, fostering technical and professional growth Champion ethical AI, explainability and model governance throughout the lifecycle of our solutions Contribute to a culture of continuous learning, experimentation and data-informed decision making Skills and Qualifications: We are looking for those who … e.g. logistic regression, random forest, XGBoost, and modern deep learning techniques (e.g. transformers, transfer learning, reinforcement learning) Proven ability to lead technical direction across projects or domains Expertise in model validation, explainability, governance and ethical AI principles Advanced proficiency in Python (e.g. Scikit-learn, TensorFlow/PyTorch) and SQL, plus familiarity with ML engineering and MLOps practices Nice More ❯