AI/ML Engineer

<div class="content-intro"><h3><strong>Who We Are</strong></h3> <p>VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave™ Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement &amp; Optimization. In addition, VML’s specialist health network, VML Health, is one of the world’s largest and most awarded health agencies. VML’s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney.</p> <p><strong>About WPP</strong></p> <p>WPP is the trusted growth partner for the world’s leading brands. We unite&nbsp;cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel&nbsp;in a single company –&nbsp;powered by exceptional talent and our agentic marketing platform, WPP Open,&nbsp;to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit&nbsp;<u><a href="http://wpp.com/" data-outlook-id="2714312b-312f-4651-9f88-d8a4e47547bc">WPP.com</a></u>.</p></div><p></p> <p><strong>Who we’re looking for: </strong>We are seeking an experienced AI/ML Engineer with a minimum of 5 years of expertise to join our innovative technology team. In this pivotal role, you will be responsible for designing, training, and optimizing AI models, with a strong focus on Natural Language Processing (NLP) for real-time content summarization, recommendation, and conversational UIs. You will implement cutting-edge techniques like Retrieval-Augmented Generation (RAG) and fine-tune transformer-based models, collaborating closely with backend and data engineering teams to ensure seamless deployment and maintenance of brand tone and content accuracy in all AI outputs.</p> <p><strong>What you’ll be doing:</strong></p> <ul> <li>Design, train, and optimize AI models specifically for real-time content summarization and recommendation.</li> <li>Implement advanced Natural Language Processing (NLP) techniques to enhance conversational UI and predictive interactions.</li> <li>Apply Retrieval-Augmented Generation (RAG) for intelligent response generation from dynamic content sources.</li> <li>Fine-tune transformer-based models (e.g., BERT, T5) using domain-specific datasets to achieve optimal performance.</li> <li>Collaborate closely with backend and data engineering teams to streamline model deployment within a production-grade environment.</li> <li>Ensure that brand tone and content accuracy are meticulously maintained throughout all AI-generated outputs.</li> </ul> <p><strong>What you’ll need:</strong></p> <ul> <li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.</li> <li>5–7 years of progressive experience in AI/ML engineering, with a strong and proven focus on Natural Language Processing (NLP).</li> <li>Strong practical experience with leading Machine Learning frameworks such as TensorFlow, PyTorch, and Hugging Face.</li> <li>Experience with LangChain and LangGraph.</li> <li>Experience with MLOps pipelines and platforms like AWS SageMaker, Azure AI Search, or similar.</li> <li>Solid understanding of Large Language Models (LLMs), embeddings, and semantic search technologies.</li> <li>Expert proficiency in Python and robust data handling libraries such as Pandas and NumPy.</li> <li>Familiarity with deploying AI models via microservices or APIs.</li> <li><strong>Preferred Qualifications:</strong></li> <li>Understanding of branding, tone, and the user experience (UX) implications in AI-generated content.</li> <li>Experience working with headless CMS (Content Management Systems) and structured content datasets.</li> <li>Knowledge of ethical AI principles and prompt engineering best practices.</li> </ul> <p><strong>Additional Competencies:</strong></p> <ul> <li>AI/ML Engineering</li> <li>Natural Language Processing (NLP)</li> <li>Large Language Models (LLMs)</li> <li>MLOps &amp; Deployment</li> <li>Python &amp; Data Science</li> <li>Transformer Models</li> <li>Content Summarization &amp; Recommendation</li> <li>Brand &amp; Content Integrity</li> </ul> <p></p><div class="content-conclusion"><p><span class="normaltextrun"><span lang="EN-GB"><span lang="EN-GB">We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.</span></span></span></p> <p><span class="normaltextrun"><span lang="EN-GB">WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.</span></span><span class="scxw176048299"><span lang="EN-GB">&nbsp;</span></span></p> <p><span class="scxw176048299"><span lang="EN-GB">VML is a WPP agency (NYSE: WPP). For more information, please visit  <a href="https://www.vml.com/" target="_blank">www.vml.com</a>, and follow along on&nbsp;<a href="https://www.instagram.com/vml_global/?hl=en">Instagram</a>, <a href="https://www.linkedin.com/company/vml/">LinkedIn</a>, and <a href="https://x.com/vml_global?lang=en">X</a>.</span></span></p> <p>When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our&nbsp;<a href="https://www.vml.com/recruitment-privacy-policy">Recruitment Privacy Policy</a>. California residents should read our&nbsp;<a href="https://www.vml.com/california-recruitment-privacy-notice">California Recruitment Privacy Notice</a>. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.</p></div>