Senior Machine Learning Engineer

WPP is the trusted growth partner for the world’s leading brands.

We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.

We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.

Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.

For more information, visit WPP.com.

Why we're hiring:

Are you a Machine Learning Engineer with a knack for building robust, scalable, and efficient AdTech systems? Do you love getting your hands dirty with large-scale data and ML pipelines, and ensuring cutting-edge models run flawlessly in production? Do you want to join an existing, high-output team of academic and professional experts to build the world's first Large Marketing Model? If so, we'd love to meet you! 

You are:

• Design, implement and maintain scalable, production-grade data and ML infrastructure, supporting our AI models in GCP. 

• Contribute to designing and building strong data governance and quality frameworks to ensure data inputs are reliable, accurate, and consistent. 

• Collaborate closely with our team of 14+ data scientists and engineering peers to translate research prototypes into robust, production-ready systems, applying strict software engineering best practices (CI/CD, version control, testing, etc.). 

• Identify and address technical debt and inefficiencies within our data and ML platforms to improve system stability. 

• Actively participate in a culture of operational excellence, automation, and continuous improvement within the team, learning from and contributing to the collective knowledge. 

What you'll be doing:

Design and Develop Robust Backend Systems

• You have a strong academic background (BS or MS in Computer Science, Engineering, or related field), with at least 4 years of experience in data, ML engineering or large-scale software engineering. 

• You have strong practical experience with Python and SQL. Experience with other strongly typed programming languages (C++, Java, etc.) is a plus. 

• You have experiences of cloud platforms (GCP, AWS, Azure), and deployment abstractions (Docker, Terraform). 

• You have experiences of data engineering and distributed processing (Spark, Flink), orchestration tools (Airflow, Dagster) and data warehousing. 

• Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps frameworks (MLflow, Kubeflow) is a plus. 

• You have experiences in CI/CD, version control, and testing best practices. 

• You have familiarity with AdTech data and terminology, or a strong willingness to learn the domain. 

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

• You are a strong team player who values open communication, actively listens to feedback, and thrives in an environment of continuous learning and mutual support. 

What you'll need:

• 4+ years of professional experience in a Machine Learning Engineer role.

• Strong problem-solving skills, analytical thinking, and attention to detail.

• Excellent communication and collaboration skills to work effectively within cross-functional teams.

• Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.

If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both our clients, we encourage you to apply and join our team.

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 around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular 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.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid

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 around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular 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.

Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.