MLOps Engineer - Outside IR35

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.