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.
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\u2019ll 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 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.
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.
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.
Qualifications
- 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.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.
What we offer
At AXA UK, we’re appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive:
- Competitive annual salary of up to £80,000 dependent on experience
- Annual company & performance-based bonus
- Contributory pension scheme (up to 12% employer contributions)
- Life Assurance (up to 10 x annual salary)
- Private medical cover
- 25 days annual leave plus Bank Holidays
- Opportunity to buy up to 5 extra days leave or sell up to 5 days leave
- Wellbeing services & resources
- AXA employee discounts
To apply, click on the ‘apply for this job’ 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 .
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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.
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