Senior Machine Learning Engineer

The Role

As a Machine Learning Engineer, you will be in charge of model development to deployment and production monitoring. You will be challenged with real-world, large-scale challenges whilst applying solid engineering principles to build robust, scalable, and reliable machine learning systems.

Key Responsibilities

• Design, build, and deploy machine learning models for production use cases such as recommendation systems, NLP, computer vision, and predictive analytics
• Develop and maintain scalable pipelines for training, evaluation, and inference
• Work with both structured and unstructured data across a variety of domains
• Implement efficient data preprocessing, feature engineering, and transformation workflows
• Ensure data quality, integrity, and compliance with governance standards (e.g., GDPR)
• Optimize models for performance, scalability, and cost-efficiency in production
• Collaborate closely with data engineers, software engineers, and product stakeholders
• Deploy and manage models using cloud platforms (AWS, Azure, or GCP) and containerization tools
• Build monitoring, validation, and testing frameworks to ensure model reliability
• Continuously improve model performance through experimentation and iteration
• Contribute to MLOps practices, including CI/CD, model versioning, and reproducibility

Your Profile

• 3–5+ years of experience in Machine Learning Engineering, AI Engineering, or a related field
• Strong programming skills in Python
• Hands-on experience with ML/DL frameworks such as TensorFlow or PyTorch
• Solid understanding of machine learning algorithms, evaluation methods, and optimization techniques
• Proven experience building and deploying ML pipelines in production environments
• Familiarity with data engineering concepts (ETL/ELT, data pipelines)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Experience with containerization tools (Docker, Kubernetes)
• Understanding of MLOps tools and practices (e.g., MLflow, Airflow)
• Experience working with large-scale or complex datasets
• Awareness of data privacy and governance best practices

What’s Offered

• Competitive salary and comprehensive benefits package
• Hybrid working environment
• Opportunity to work on impactful, scalable ML systems in a modern tech setting
• Clear path for professional growth and development

Apply

If this opportunity interests you, apply now or send your CV along with a short cover letter to ryan.martin@vividresourcing.com.