Full-Stack Software Engineer - MLOps

Global marketing tech company recognized as a Leader by Forrester and a Challenger by Gartner, working with brands like Sephora, Staples, and Entain.
DevOps
Mid-Level Software Engineer
In-Person
101 - 500 Employees
2+ years of experience
AI · Enterprise SaaS

Description For Full-Stack Software Engineer - MLOps

Optimove is seeking a Full-Stack Software Engineer to join their new MLOps team in an exciting growth phase. As a Leader recognized by Forrester and a Challenger by Gartner, Optimove partners with renowned brands like Sephora, Staples, and Entain. With approximately 450 employees across global locations, the company maintains a startup culture while offering strong career growth opportunities, with 2 of every 3 managers promoted internally.

The R&D operation in Dundee, Scotland provides a dynamic environment where developers can make significant impacts on technology implementation, from small library introductions to major infrastructure changes. The culture emphasizes knowledge sharing and leveraging cutting-edge technology.

The new MLOps team will serve as the crucial bridge between data science and R&D teams, ensuring smooth deployment, monitoring, and maintenance of machine learning models in production. The role combines technical expertise with collaborative skills, requiring work with both data scientists and R&D teams to implement and maintain ML solutions.

Key focus areas include managing ML model deployments, improving deployment architecture and processes, implementing CI/CD pipelines, and maintaining high standards in cloud infrastructure security and cost management. The position offers an opportunity to work with modern ML frameworks, cloud services, and containerization technologies while contributing to a team that drives value through ML initiatives.

This role is perfect for candidates who combine strong technical skills with a collaborative mindset and are passionate about implementing ML solutions at scale. Join a company that values internal growth, innovation, and maintains the energy of a startup while operating as a proven global business.

Last updated 12 days ago

Responsibilities For Full-Stack Software Engineer - MLOps

  • Develop and maintain pipelines for model deployment and monitoring
  • Collaborate with data scientists to integrate ML models into production systems
  • Manage cloud infrastructure and resources for ML workflows
  • Assist in automating repetitive tasks and implementing best practices
  • Manage and optimize existing ML model deployments
  • Improve architecture, processes, and tools for model deployment
  • Implement CI/CD pipelines, monitoring systems, and infrastructure automation

Requirements For Full-Stack Software Engineer - MLOps

Python
Kubernetes
  • 2+ years of experience in DevOps, MLOps, or a related role
  • Proficiency in Python and ML frameworks like TensorFlow or PyTorch
  • Familiarity with AWS services (e.g., EC2, S3, SageMaker)
  • Knowledge of CI/CD tools and workflows
  • Basic understanding of containerization (Docker) and orchestration (Kubernetes)
  • Strong debugging and troubleshooting skills
  • Willingness to learn and adapt to new technologies

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