Machine Learning Engineer - #189178

About AXA

AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide range of services, including health, car, home, and business insurance. We support millions of customers worldwide, helping them navigate life's uncertainties with confidence.

AXA UK Support Functions look after our three customer-facing business units, providing the infrastructure and expertise to make sure we can be there for our customers.

Job Overview

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. 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.

Key Responsibilities

• Contribute to the design and the development of robust MLOps, and Agentic Ops frameworks that will enhance our capabilities and drive value across AXA.
• Take offline models data scientists build and turn them into a real machine learning production system.
• Define and implement best practices in machine learning, MLOps, and Agentic Ops, while mentoring colleagues throughout the organisation.
• Actively participate in knowledge sharing through internal and external communities and working groups.
• Contribute to the delivery of code and provide expertise in several key technology areas.
• Stay up to date with the latest advancements in MLOps, Agentic systems, Azure and Databricks technologies, and proactively identify opportunities to enhance our ML capabilities.
  
  

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 two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means attending the office, visiting clients or attending industry events.

Your Skills & Experience

• Degree in computer science, engineering, or a related field.
• Demonstrable experience in machine learning, building and operating machine learning models.
• Experience in multiple technologies and frameworks required such as Azure Databricks, Azure ML, MLFlow, GIT, Python and PySpark and microservices.
• Strong understanding of software development, DevOps, MLOps and Agentic Ops practices and microservices.
• Excellent communication and collaboration skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
  
  

How To Apply

To apply, click on the ‘apply now’ button, you’ll then need to log in or create a profile to submit your CV. We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we’re proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to [email protected].

We encourage you to apply for this opportunity as soon as possible, as we may close this advert earlier than the listed closing date.