Job Description:
We’re looking for a Machine Learning Engineer to become an integral part of our transversal Data team, where you’ll play a pivotal role in transforming and modernising our machine learning platform. In this dynamic position, you’ll collaborate across the organisation to define and implement MLOps best practices, while taking charge of designing, implementing, and maintaining the infrastructure, essential for the development and deployment of machine learning models. Working closely with data scientists, data engineers, solution engineers, and other stakeholders, you’ll ensure the seamless integration of machine learning models into our production systems, driving innovation and excellence within AXA UK.
At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You’ll work at least 40% of your week away from home, moving to the majority of your working week from September 2025. Away from home means either attendance at one of our office locations, visiting clients or attending industry events. We’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.

WHO WE ARE:

AXA UK Support Functions power AXA’s three customer-facing business units, providing the infrastructure, support and expertise to ensure our customers can always count on us. Whether you’ve got heaps of experience and qualifications behind you, or you’re just starting out, we’ll give you the support and opportunities to help you grow and develop with confidence.
Salary: Up to £60,000 dependent on experienc

• Transform offline models developed by data scientists into a robust machine learning production system including Model Deployment and versioning, Data Management and Feature engineering, Model Monitoring and Performance Management and Automation and Orchestration.
• Build and enhance reusable tools and modelling pipelines, fostering knowledge sharing across teams.
• Define and implement best practices in Machine Learning and MLOps, while mentoring colleagues throughout the organization.
• Actively participate in knowledge sharing through internal and external communities and working groups.
• Develop reliable, scalable machine learning pipelines on Azure Databricks.
• Design workflows with MLFlow for the effective development, deployment, and monitoring of ML models.
• Optimize the deployment, management, and performance of machine learning models used in AXA applications.
• Stay updated on advancements in MLOps, LLMOps, Azure, and Databricks, identifying opportunities to improve ML capabilities.
  Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we’re able to effectively manage interest. Therefore, if you’re interested in joining us at AXA, please don’t hesitate to apply.