<div class="content-intro"><h3><strong>Who We Are</strong></h3> <p>VML is a global creative company that combines brand experience, customer experience, and commerce to create connected brands that drive growth. Guided by a <strong>Human First</strong> philosophy, VML is known for its innovative work for brands and consistently ranks among the world’s leading creative companies, including the WARC Creative 100. VML’s global network spans 55+ markets with principal offices in Buenos Aires, Kansas City, London, New York, São Paulo, Shanghai and Singapore. </p> <p>VML is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel. </p> <p>For more information, please visit <a href="http://www.vml.com/" data-outlook-id="d4b7d1c3-8ad6-4b6d-ab45-d3cb5a3aebe1">www.vml.com </a>and follow along on <a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__urldefense.com_v3_-5F-5Fhttps-3A_www.linkedin.com_company_vml_-5F-5F-3B-21-21JboVxjCXSME-21OhlpCfbkl1UcWPwns1-2DGtvHOzFh0QwHV49fsPgGw-2DVCCU1bCg8aQFI9vN-2Dy-2DVwaQcITH2j2XKzGKBIFRLYf2AUWVYY1dFGK6-24&d=DwMFaQ&c=euGZstcaTDllvimEN8b7jXrwqOf-v5A_CdpgnVfiiMM&r=zouFnm4jZMgDFaYF1uVcRY3rbgHWPca_luUrBUkT6Yc&m=QzcCgXCAOjzj5hiU48_CKOdHRSJ4_YpuqfviT9yjlzH5VrkzySTZ-WaQXlYAnj4W&s=jJ7q5V70u9oUx7ONPm5jC3IK8y6vxDilX6BGTlqlWlA&e=" data-outlook-id="a3ef68bf-16fb-4ebc-9ca9-406007d6cefc">LinkedIn</a> #WeAreVML.</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 & Deployment</li> <li>Python & Data Science</li> <li>Transformer Models</li> <li>Content Summarization & Recommendation</li> <li>Brand & 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