Senior Data and AI Engineer - Production & MLOps

Who We Are:

At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse.

Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work.

.

Senior Data and AI Engineer - Production & MLOps

Are you a seasoned AI engineer with a deep passion for building robust, scalable, and high-performance machine learning systems? Do you thrive on architecting complex MLOps pipelines, driving technical initiatives, and mentoring brilliant minds to bring cutting-edge AI models into production at scale? If so, we’d love to meet you!

Our team is at the forefront of a highly strategic project, Open Intelligence, operating at the intersection of data science, advertising technology, and audience insights. While our data scientists push the boundaries of AI research, we need your expertise to ensure these innovations are deployed efficiently, reliably and at scale. This is a unique opportunity for you to work alongside and contribute significantly to our existing engineering leadership, having an impactful role in architecting and implementing the MLOps infrastructure that powers next-generation approaches using pretrained embeddings, multi-modal models, and large-scale neural networks.

What You’ll Do:

Design and implement scalable, production-grade MLOps pipelines and infrastructure, ensuring the seamless deployment, monitoring, and maintenance of our AI systems in GCP.

Provide technical direction and expertise for model serving, data versioning, feature stores, and automated model retraining.

Collaborate closely with our team of 14+ data scientists and engineering peers to translate research prototypes into robust, production-ready systems, providing guidance on best practices for code quality, testing, and deployment.

Lead the exploration and adoption of new technologies and tools to optimize our AI development and deployment lifecycle, focusing on efficiency, reliability, and cost-effectiveness.

Act as a technical mentor to junior and mid-level AI engineers, fostering a culture of operational excellence, automation, and continuous improvement within the team.

Oversee monitoring, alerting, and troubleshooting of production AI systems, ensuring high availability and performance.

Who You Are:

You have a strong academic background (Master’s or PhD in Computer Science, Engineering, or related field) with significant experience (5+ years) in MLOps, ML Engineering, or Data Engineering roles, ideally specifically within an AI/ML context.

You have a track record of successfully architecting, simplifying and delivering complex, end-to-end production ML systems at scale.

You possess deep expertise in Python and scalable ML frameworks (PyTorch, TensorFlow), coupled with strong proficiency in cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and orchestration tools (Airflow, Kubeflow).

You are passionate about building robust, efficient, and automated systems that enable cutting-edge AI research to deliver real-world impact.

You have a solid understanding of data engineering principles, including ETL concepts, data warehousing, and distributed processing (Spark, Flink).

You are an exceptional communicator and a natural mentor who thrives in collaborative, high-impact environments. You value continuous learning, are eager to listen to diverse perspectives, and actively seek opportunities to learn from your peers and the broader team, regardless of seniority. You are eager to empower data scientists with robust operational capabilities and contribute to a strong engineering culture.

Why Join Us?

We value great minds: And we’re making a team of them!

Build the Backbone of AI: Be a key architect in shaping the MLOps and production infrastructure that powers the future of privacy preserving advertising and audience modeling.

Enable Cutting-Edge Research: Your work will directly enable our data scientists to deploy groundbreaking AI models, making a tangible impact on strategic outcomes.

Drive Technical Excellence: Work with big, industry-scale datasets and the latest MLOps technologies. Influence technical direction, mentor peers, and solve complex operational challenges.

Never Stop growing: Work within a highly collaborative engineering team. We foster an environment of mutual learning, where every team member, regardless of experience, is both a teacher and a student.

We build AI, we are not AI: We understand that work-life balance matters and know that even great minds are people first.

If you’re ready to drive technical innovation, architect robust systems, and contribute to high-stakes AI projects with real-world impact, apply now to join my team and help us redefine the future of audience modeling!

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.

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.

VML is a WPP Agency. For more information, please visit our website, and follow VML on our social channels via Instagram, LinkedIn, and X.

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 Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. 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.