3 of 3 Permanent Feature Engineering Jobs in East Sussex

plays a crucial role in this journey, working on cutting-edge projects that enhance our digital presence and improve customer engagement. As a Senior AI Engineer within the Technology Engineering team in CIO, you will play a pivotal role in designing, developing, and deploying AI and machine learning solutions that address real-world business challenges. You will work closely … with cross-functional teams-including Data Science, Engineering, Product, and Business stakeholders-to identify opportunities for AI innovation and deliver scalable, ethical, and high-impact solutions. You will contribute to the Centre of Excellence for AI Engineering, support the adoption of GenAIOps practices, and help embed responsible AI principles across the development lifecycle. You'll also mentor junior … engineers, promote reusability of AI components, and support the continuous improvement of AI engineering practices across the organisation. Skills we would love you to have: Experience in AI/ML engineering or applied machine learning. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. More ❯

offer opportunities to make a real difference, influence our company, benefit our communities, and enjoy the journey. Role Overview: Principal AI Engineer You will be part of the Technology Engineering team within CIO, leading the design, development, and deployment of advanced AI and machine learning solutions that drive innovation, efficiency, and strategic value across the organization. Collaborating closely with … Data Science, Engineering, Product, and Business teams, you'll understand complex challenges and identify AI opportunities. You will manage the entire lifecycle of AI projects-from problem framing and data exploration to model deployment and monitoring-ensuring solutions are scalable, ethical, and aligned with enterprise goals. Skills we would love you to have: Extensive experience in AI/ML … engineering, data science, or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML libraries (e.g., Semantic Kernel, Langchain, and Agentic frameworks). Experience deploying models into production using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong knowledge More ❯

be doing: Designing and maintaining scalable data pipelines and infrastructure to support structured, analysis-ready data Designing and deploying end-to-end machine learning models from data preparation and feature engineering to model training, evaluation, and monitoring Overseeing a team of three data analysts and collaborating closely with business analysis and developers across William Reed Setting out a More ❯