MLOps Engineer

Develop are looking for an experienced Senior MLOps Engineer to support the development, deployment and optimisation of production-grade Machine Learning infrastructure within a large-scale enterprise environment.

This is a hands-on engineering role focused on building scalable ML platforms, automating model deployment and improving the reliability and performance of machine learning systems.

Key Responsibilities:

• Design, build and maintain scalable MLOps pipelines and infrastructure.
• Develop automated CI/CD pipelines for machine learning model training, testing and deployment.
• Deploy and manage ML models in production environments.
• Implement model monitoring, versioning, experiment tracking and performance optimisation.
• Build and maintain containerised ML workloads using Docker and Kubernetes.
• Work closely with Data Scientists, ML Engineers and Platform Engineering teams.
• Implement Infrastructure as Code (IaC) and automated cloud provisioning.
• Improve model lifecycle management, observability and platform reliability.

Essential Technical Skills:

• Strong commercial experience in MLOps or ML Platform Engineering.
• Advanced Python programming skills.
• Hands-on experience with MLflow, Kubeflow or similar MLOps frameworks .
• Strong knowledge of Docker and Kubernetes .
• Experience building CI/CD pipelines using GitHub Actions, GitLab CI or Azure DevOps .
• Cloud experience with AWS SageMaker, Azure Machine Learning or Google Vertex AI .
• Infrastructure as Code using Terraform .
• Experience with model serving, monitoring and automated retraining pipelines.
• Understanding of ML model lifecycle management, feature stores and data pipelines.

Desirable Experience:

• LLMOps and deployment of Generative AI models.
• Model serving frameworks such as KServe, BentoML or NVIDIA Triton.
• Distributed model training and inference.
• Monitoring tools such as Prometheus and Grafana.

Contract Details:

• Position: Senior MLOps Engineer
• Contract Type: B2B / Freelance
• Duration: 12 months
• Location: 100% Remote, Europe
• Language: English
• Start Date: ASAP