<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>I am supporting a client which is searching for a new Technical AI consultant to join their emerging tech division. </p><p><br/></p><p>The ideal candidate should bring a combination of a background in Machine learning and enterprise software engineering experience. </p><p><br/></p><p>You will sit at the intersection of data science, software engineering, and consulting, working directly with clients to design, build, and deliver AI-powered solutions in complex enterprise environments.</p><p><br/></p><p><strong>The Role</strong></p><ul><li>Work directly with clients to understand business problems and translate them into AI and data-driven solutions </li><li>Lead solution design and architecture for AI/ML systems in enterprise settings </li><li>Deliver end-to-end AI solutions, from proof of concept through to production deployment </li><li>Bridge the gap between data science models and scalable software engineering implementations </li><li>Design and build production-ready ML systems, APIs, and AI-enabled applications </li><li>Support delivery across the full lifecycle: discovery, design, build, test, deploy, and scale </li><li>Collaborate with engineering, data science, and platform teams to ensure robust implementation </li><li>Advise clients on AI strategy, model selection, deployment patterns, and operationalisation (MLOps) </li></ul><p><br/></p><p><strong>Required Skills &amp; Experience</strong></p><ul><li>Strong academic or professional background in Machine Learning, Data Science, or a related field </li><li>Hands-on experience developing and deploying ML models in real-world production environments </li><li>Strong enterprise software engineering experience (e.g. Python, Java, or .NET) </li><li>Experience building scalable backend systems, APIs, and distributed services </li><li>Solid understanding of: </li><li>Machine learning algorithms and model lifecycle </li><li>Data pipelines and feature engineering </li><li>Model deployment and monitoring </li><li>Cloud platforms (Azure, AWS, or GCP) </li><li>Experience working in client-facing, consulting, or delivery-focused roles </li><li>Ability to translate complex technical concepts into clear business value</li></ul><p></p> </div>