Job Description
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. #LI-Hybrid