At a Glance
- Tasks: Lead the development of Python rating engines and enhance ML operations.
- Company: Join AXA Retail, a dynamic team focused on innovation and customer support.
- Benefits: Competitive salary, bonuses, pension scheme, private medical cover, and 25 days leave.
- Why this job: Make a real impact in a transformative environment with cutting-edge technology.
- Qualifications: Degree in a technical field and experience in data science or software roles.
- Other info: Flexible working arrangements and strong career growth opportunities.
The predicted salary is between 48000 - 66000 £ per year.
It’s an exciting time in our Pricing & Analytics department! Our transformation programme has recently been relaunched, aligned to AXA Retail's first ever Pricing & Analytics strategy. AXA are 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 Senior Machine Learning (ML) Operations Engineer to own and facilitate high frequency, high quality and high accuracy rating changes to Python deployments for our business. The role will involve playing a key role in 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’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.
What you’ll be doing:
- Own and help steer the development and operation of Python rating engines as part of ML Operations team.
- Enable P&A department to deliver value via creating seamless, efficient and controlled routes for rating changes.
- Develop tools for the team and external teams to increase our rating capability.
- Contribute to architectural and technical documentation.
- Engage with stakeholders regularly and distil requirements into technical details.
- Work effectively both independently and as part of a collaborative team.
- Take ownership of AXA Retail business performance and how ML teams can contribute to that.
What you’ll bring:
- Excellent logical reasoning skills with a degree in a mathematical/technical related field (e.g.: Mathematics, Computer Science, or Physics) or evidence of equivalent proficiency.
- Demonstrable experience in previous data science or software roles.
- Critical and analytical approach to problem structuring.
- Ability to continually learn and develop.
- Strong drive to deliver and comfortable collaborating in a team.
- Effective communication to technical and non-technical audiences.
- Strong initiative and desire to steer technical change.
- Experience working with Git.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.
What we offer:
- Competitive annual salary of up to £66,000
- 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.
Senior ML Operations Engineer employer: AXA Group
Contact Detail:
AXA Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Operations Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with current AXA employees on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Prepare for those interviews! Research AXA's Pricing & Analytics strategy and think about how your skills as a Senior ML Operations Engineer can contribute. Be ready to discuss your past experiences and how they align with their goals.
✨Tip Number 3
Show off your technical chops! Be prepared to demonstrate your knowledge of Python and ML operations during technical interviews. Maybe even bring along a project or two that showcases your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the AXA team. So, hit that 'apply' button and let’s get started!
We think you need these skills to ace Senior ML Operations Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior ML Operations Engineer role. Highlight your experience with Python deployments and any relevant projects that showcase your skills in machine learning operations.
Showcase Your Problem-Solving Skills: In your application, emphasise your critical and analytical approach to problem structuring. We want to see how you tackle challenges and contribute to team success, so share specific examples!
Engage with Stakeholders: Demonstrate your ability to communicate effectively with both technical and non-technical audiences. Mention any past experiences where you’ve distilled complex requirements into actionable tasks for teams.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at AXA.
How to prepare for a job interview at AXA Group
✨Know Your Python Inside Out
As a Senior ML Operations Engineer, you'll be working extensively with Python. Make sure you brush up on your Python skills, especially around deployment processes and frameworks. Be ready to discuss your past experiences with Python in detail, including any tools or libraries you've used.
✨Understand the Business Context
AXA is focused on delivering value through its Pricing & Analytics strategy. Familiarise yourself with how machine learning can impact pricing models and analytics. Prepare examples of how you've contributed to business performance in previous roles, as this will show your understanding of the bigger picture.
✨Prepare for Technical Questions
Expect to face technical questions that assess your logical reasoning and problem-solving skills. Brush up on data science concepts and be prepared to explain your thought process when tackling complex problems. Practising coding challenges can also help you feel more confident.
✨Show Your Collaborative Spirit
The role requires effective communication with both technical and non-technical audiences. Think of examples where you've successfully collaborated with others, whether in a team setting or while engaging with stakeholders. Highlight your ability to distil complex requirements into actionable tasks.