Senior Machine Learning Engineer

• Build and productionise feature engineering pipelines for ML models (neural networks)
• Develop and manage training and inference workflows at scale
• Deploy and monitor machine learning models in production environments
• Collaborate with data scientists and engineering teams to optimise model performance and reliability
• Contribute to best practices across MLOps and pipeline orchestration

• Strong Python fluency
• Proven experience building production-grade data and ML pipelines
• Solid understanding of MLOps principles
• Experience working with machine learning models
• Some project experience with Databricks
• Cloud experience - open to Azure/ GCP/ AWS

This is a strong fit for engineers who operate across the full ML lifecycle and enjoy taking models from development into robust, production systems.

DW Search are partnering on a high-impact contract opportunity within a fast-paced, data-driven environment supporting portfolio company initiatives for a major asset management firm.

This role sits at the intersection of Data Engineering and Machine Learning Engineering, with a strong focus on building and productionising end-to-end ML pipelines. You will be working on real-world applications of neural networks, enabling scalable feature engineering, model training, and inference in production.