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- Tasks: Develop and scale Python rating engines for innovative insurance solutions.
- Company: Leading UK insurance firm with a supportive and collaborative culture.
- Benefits: Competitive salary, performance bonuses, and flexible working options.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: Strong logical reasoning, relevant education, and teamwork skills.
- Other info: Enjoy a hybrid work environment with excellent career growth opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading insurance firm in the UK seeks a Senior Machine Learning Operations Engineer. This role involves developing Python rating engines and facilitating efficient processes within the Pricing & Analytics department.
The ideal candidate will have strong logical reasoning, relevant educational background, and collaborative skills to enhance team performance.
Competitive salary, performance-based bonuses, and flexible working options available in a supportive environment.
Lead ML Ops Engineer: Scale Python Rating Engines (Hybrid) in London employer: AXA Group
Contact Detail:
AXA Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Ops Engineer: Scale Python Rating Engines (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in ML Ops. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially any rating engines you've developed. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your logical reasoning and collaborative skills. Practice common ML Ops scenarios and be ready to discuss how you can enhance team performance.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead ML Ops Engineer: Scale Python Rating Engines (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and ML Ops. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Collaborative Spirit: Since we value teamwork, mention any experiences where you’ve worked closely with others to achieve a common goal. Highlighting your collaborative skills can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at AXA Group
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in relation to developing rating engines. Be prepared to discuss specific projects where you've implemented Python solutions and how they improved processes.
✨Showcase Your Logical Reasoning
Since strong logical reasoning is key for this role, practice explaining your thought process during problem-solving scenarios. Use examples from your past experiences to illustrate how your reasoning led to successful outcomes.
✨Emphasise Collaboration Skills
This position requires working closely with the Pricing & Analytics team. Be ready to share examples of how you've successfully collaborated with others in previous roles, highlighting your ability to enhance team performance.
✨Prepare Questions About the Role
Demonstrate your interest in the position by preparing thoughtful questions about the company's approach to ML Ops and how they envision the role contributing to their goals. This shows you're not just interested in the job, but also in the company’s vision.
