MLOps Engineer

About DEPT®

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.

Job Purpose: MLOps Engineer

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 the Federated Data team for data sourcing and share Federated Data Infrastructure (Airflow) for MLOps needs.

What You’ll Do

Model Lifecycle Automation

• 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.

Production Readiness

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

Observability & Monitoring

• 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.

Platform Collaboration

• Work closely with the Applied ML Engineer to support experimentation needs.
• Report to DevOps in regard to shared infrastructure and security standards.

Governance & Safety

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

What You’ll Bring

Required Qualifications

• Strong background in DevOps 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.

Nice to Have

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

We Offer

• Great benefits that vary based on the country from which you choose to apply.
• 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, including Google, Lufthansa, Meta, eBay, and OpenAI.
• Opportunity for possibility: Training, development, and certifications to help you grow your skills.
• Global annual DEPT® Cares Month where employees support local charities.

Why DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. We pioneer ideas, act fast, and move further. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact.

Diversity, Equity & Inclusion

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively recruit, develop, nurture, and retain talented individuals from diverse backgrounds. We encourage you to apply even if you don't meet every qualification and to discuss any reasonable adjustments needed.

Key skills/competency

• MLOps
• DevOps
• Kubernetes
• Terraform
• Cloud Infrastructure
• CI/CD
• Observability
• Model Deployment
• Scalability
• Airflow