MLOps Engineer

MLOps Engineer - Agentic Orchestration

Hybrid

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner‑led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

DEPT® is a global technology and marketing services company. We create integrated end‑to‑end digital experiences on a global scale. Our mission is to help brands stay ahead by combining top‑tier talent with the world’s most advanced AI.

Our "Future of Work" (FoW) program is our flagship internal transformation initiative, designed to upskill our talent, enhance our people’s capabilities, and automate complex tasks to deliver better outcomes for our clients and employees.

Joining our Agentic Orchestration team you will build and maintain the systems that make machine learning models reliable, observable, and cost‑effective in production, enabling rapid experimentation without compromising stability. As an MLOps Engineer you will own model lifecycle infrastructure, not model behaviour. In this role you will collaborate with Federated Data team for data sourcing, and share Federated Data Infrastructure (Airflow) for MLOps needs.

• Design and maintain pipelines for model training, evaluation, deployment, and rollback.
• Implement versioning and promotion workflows for models.
• Ensure reproducibility across training and inference runs.

• Build and maintain inference infrastructure and deployment workflows.
• Ensure models meet latency, availability, and scalability requirements.
• Partner with Agentic Orchestration team on API reliability and integration patterns.

• Implement monitoring for model performance, latency, errors, and cost.
• Detect and alert on regressions, drift, and operational failures.
• Provide tooling for debugging production model behavior.

• Work closely with the Applied ML Engineer to support experimentation needs.
• Report to Dev Ops regarding shared infrastructure and security standards.

• Implement access controls, auditability, and safe deployment practices.
• Support compliance, data handling, and rollback requirements as needed.

• Strong background in Dev Ops or platform engineering.
• Experience with Kubernetes, Terraform, and cloud infrastructure.
• Familiarity with ML workflows, even if not a model builder.
• Experience building CI/CD pipelines and observability systems.
• Comfort working in ambiguous, fast‑evolving environments.

• Designing or tuning models.
• Data science or statistical analysis expertise.
• Owning core cloud platform infrastructure alone.

• Great benefits that vary based on the country from which you choose to apply. Feel free to ask about the specific benefits available in your location.
• Buddy Programme:
  You will be paired with a ‘Buddy’ to help you through your first weeks at DEPT®.
• A reputation for doing good. DEPT® has been a Certified B Corp® since 2021 and named ‘Agency of the Year’ at both The Lovies and The Webby Awards.
• Awesome clients. Whether big or small, local or global — at DEPT® you’ll get the opportunity to work with clients of all sizes and across all industries. And we celebrate all of our successes together!
• The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
• Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities.

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move…