Ml Operations Engineer

Manchester, ENG, GB, United Kingdom

Job Description

:

It's an exciting time in our Pricing and Analytics department at AXA UK. Our transformation programme has recently been relaunched, aligned to AXA Retail's new Pricing and Analytics strategy. We're investing a lot in growing our department in size and capability across our IT systems, analytical toolset and learning and development. We'd love to hear from motivated people who can help us deliver our commitments to our business, our customers, and our people.



Within AXA Retail we're looking for a Machine Learning (ML) Operations Engineer or Senior ML Operations Engineer to facilitate high frequency, high quality and high accuracy rating changes to Python deployments for our business. The role will involve building frameworks, tools and APIs which allow us to scale out our Python deployment processes, a key element of our quote and buy architecture.



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 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.

What you'll be doing:



Develop and operationalise Python rating engines as part of ML Operations team. Enable P&A department to deliver value in a way that is seamless, efficient and controlled, through harmonious and simple routes for rating changes. Develop tools for the team and collaborating teams to increase our rating capability.

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.

What you'll bring:



Expertise building data or software products with Python, Git. Attitude of continuous improvement. Effective collaboration with technical and non-technical colleagues. Experience applying the above in fast paced, business context. Personal lines insurer or other regulated entity experience a bonus.

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 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 martin.eels@axa-uk.co.uk.



#LI-Hybrid

Who we are:





AXA Retail helps people live the life they love, knowing we've got their back, at home and on the road. Our people are vital to us becoming more digital, faster and easier to access. We're a dynamic team of experts completely committed to making sure our customers 'get back to the good stuff' when the unexpected happens.


Salary: Dependent on experience

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Job Detail

  • Job Id
    JD4140917
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Full Time
  • Job Location
    Manchester, ENG, GB, United Kingdom
  • Education
    Not mentioned