An opportunity for an ML Ops Engineer to support a leading Insurancer broker as they embark on the next phase of their Data and AI journey. The successful candidate will have demonstrable experience building and maintaining a robust machine learning infrastructure, supporting the successful deployment and integration of additional AI solutions. Responsibilities: • Identify and implement the best approach and practices to MLOps pipelines based on the clients needs. • Involved in gathering requirements, model registration, performing changes to APIs and models, performing re-deployment tests, handling deploying and making post-deployment checks and maintenance. • Collaborate with Data Scientists and Platform Engineers to roll out new features and make performance improvements. • Work with infrastructure as code technology to deploy, manage and run world class MLOps and data solutions • Maintain strong understanding of Databricks and Azure ML • Proactively suggest and implement changes to ways of working within and beyond the team to improve platform stability and long term efficiency. • Ensure smooth day to day running of ML Ops, driving optimisation. • Share knowledge with the wider data community. Skills / Attributes / Experience Profile: • Proven experience deploying and managing ML models in production, in Azure Databricks. • Tech stack: Databricks, Unity Catalog, Python, Git, MLFlow, Delta tables, Azure DevOps. • Hands-on development experience using Python, particularly with TensorFlow, PyTorch, scikit-learn, boto3, and the Python Data Science stack (pandas, numpy, etc.). • Strong analytical and problem-solving skills, with the ability to work with large-scale, complex datasets. • Experience in automation, CI/CD, and Agile development environments. • Implementing monitoring for data drift, model drift and performance • Experience of enabling Feature stores for reusability • Experience of event driven and / or trigger based applications (real time) • Experience of upgrading architectures from legacy versions to current versions (i.e. Core Library 2.0 to 3.0, integration of Unity Catalog etc) • Ability to work independently and within a team. • Ideally experience working in a consulting / IT Services environment. Additional Information: • Location: Home Based, with very occasional travel to Basingstoke • Rate Offered: £500-550 per day • IR35 Status: Outside • Start Date: Start of July • Initial Duration: 2 Months Our Client… …are enabling enterprise customers to take control of their data & AI evolution by combining specialist professional services with talent placement and development for high impact solutions that endure.