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A leading insurance company in the UK is seeking a Machine Learning Operations Engineer to enhance Python deployment processes. The role includes developing operational Python rating engines and tools while collaborating with various teams. Suitable candidates will have strong Python and Git skills, with experience in fast-paced environments. This position offers flexible working with at least two days in the office and various employee benefits.
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 & 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 also consider flexible working arrangements.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.
We believe in hiring people who possess the appropriate skills and values that align with our vision. Our selection process is fair and equitable, ensuring that all candidates have an equal opportunity to join us. We are dedicated to promoting diversity and inclusion, and we actively encourage applications from individuals of all backgrounds. As an Equal Opportunities Employer, we take pride in treating our employees and potential hires with respect and without discrimination based on any protected characteristics. AXA UK is recognised as a Disability Confident Leader and participates in the Disability Confident 'Offer of Interview' scheme.
All successful candidates will be subject to pre-employment checks in accordance with the Prudential Regulation Authority’s and Financial Conduct Authority’s conduct standards. Screening covers identity, address, qualifications, employment history, credit check, criminal record and directorships.