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- Tasks: Build and automate production-ready ML systems that drive business impact.
- Company: Intact Insurance UK, a forward-thinking company with a focus on innovation.
- Benefits: Hybrid work, 25 days annual leave, health support, and annual bonuses.
- Other info: Flexible hours and great opportunities for professional growth.
- Why this job: Join a dynamic team and make a real difference with machine learning.
- Qualifications: Experience with Python, PySpark, Databricks, and MLflow required.
The predicted salary is between 50000 - 70000 £ per year.
Intact Insurance UK is seeking a Machine Learning Engineer to build and automate production-ready ML systems that impact the business. This role involves working closely with Data Scientists to develop scalable solutions, implement monitoring systems, and maintain quality standards.
Candidates should have experience with Python, PySpark, Databricks, and MLflow.
The company offers a hybrid working environment, annual discretionary bonuses, and various employee benefits including 25 days of annual leave and health support.
Production ML Engineer — Hybrid, Flexible Hours, Growth employer: Intact Insurance UK
Contact Detail:
Intact Insurance UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production ML Engineer — Hybrid, Flexible Hours, Growth
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Intact Insurance UK on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your ML projects, especially those involving Python, PySpark, and Databricks. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common ML interview questions and coding challenges. We can even set up mock interviews with friends or use online platforms to sharpen our skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match what Intact Insurance UK is looking for.
We think you need these skills to ace Production ML Engineer — Hybrid, Flexible Hours, Growth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, PySpark, and Databricks. 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 excited about the role and how you can contribute to building scalable ML solutions. Let us know what makes you tick in the world of machine learning.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in ML systems. We love seeing how you approach problems and implement monitoring systems to maintain quality standards.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Intact Insurance UK
✨Know Your Tech Stack
Make sure you brush up on your Python, PySpark, Databricks, and MLflow skills. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of the tools they'll expect you to use.
✨Showcase Your Collaboration Skills
Since you'll be working closely with Data Scientists, it's crucial to demonstrate your ability to collaborate effectively. Prepare examples of how you've worked in teams before, especially in developing scalable solutions or automating processes.
✨Prepare for Technical Questions
Expect some technical questions that test your knowledge of machine learning concepts and production systems. Review common algorithms, model evaluation metrics, and best practices for deploying ML models to ensure you're ready to impress.
✨Ask Insightful Questions
At the end of the interview, don't forget to ask questions! Inquire about their current ML projects, the team dynamics, or how they measure success in this role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.