Senior MLOps Engineer (Fixed Term Contract)

As an MLOps Engineer, you will be responsible for the full lifecycle of my client's machine learning models, from development and training to deployment, monitoring, and maintenance. You'll work closely with our client's data science and engineering teams to automate and streamline our ML pipelines and ensure our models are delivering maximum value. Remit • Design, implement, and maintain the MLOps infrastructure, including CI/CD pipelines for machine learning models. • Automate the training, testing, and deployment of models. • Manage model registries, versioning, and monitoring in production. • Collaborate with data scientists to containerize and optimize models for deployment. • Implement best practices for reproducibility, scalability, and security in our ML systems. • Troubleshoot and resolve issues related to model performance and pipeline failures. Skills • Strong experience in MLOps, DevOps, and cloud environments. • Proficiency in Python. • Hands-on experience with MLOps tools such as MLflow, Weights & Biases, or similar. • Experience with CI/CD tools and practices (e.g., Azure DevOps, GitLab, GitHub Actions). • Solid understanding of containerization with Docker and orchestration with Kubernetes. • Proficiency with cloud platforms, preferably GCP or Azure AI. • Knowledge of scripting languages like Bash and Linux environments. Bonus Points • Experience with LLM tooling (e.g., LangChain, Azure OpenAI, Gemini). • Experience in a regulated industry like finance or healthcare. Please submit your CV for immediate consideration