4 of 4 Feature Engineering Jobs in Stoke-on-Trent

deploying AI models that help automate processes and enhance decision-making for our clients and internal operations. Your role will involve: Supporting data preprocessing, feature engineering, and dataset creation Assisting in the development, training, and fine-tuning of machine learning and deep learning models Writing and optimizing code … journey is designed to be transparent and engaging: Initial Chat – A short conversation to get to know you and understand your interest in AI engineering HR Interview – A deeper dive into your background, goals, and how well you align with our team culture Technical Round – A hands-on assessment More ❯

their workflows and ensure high-quality deliverables. You will: Lead and mentor a team of data scientists in building predictive models. Oversee data cleaning, feature engineering, and model development pipelines. Build and maintain robust, scalable linear regression and statistical models for KPI forecasting. Drive improvements in internal tooling … and API integrations. Collaborate closely with leadership, engineering, and the revenue team to translate business needs into data science solutions. Play a key role in product innovation, helping shape how new data products are designed and delivered. What They're Looking For 5+ years’ experience in data science or More ❯

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 … 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. More ❯

PhD in a relevant discipline or Master’s plus a comparable level of experience Experienced in Knowledge Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers … Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration, please apply today More ❯