At a Glance
- Tasks: Develop and manage scalable data and machine learning pipelines for production.
- Company: Join Aviva, a leader in innovative insurance solutions.
- Benefits: Competitive salary, bonuses, generous holidays, and well-being initiatives.
- Other info: Be part of a supportive team with great career growth opportunities.
- Why this job: Make an impact by ensuring reliable and efficient ML models.
- Qualifications: Strong experience in Python, SQL, cloud tech, and MLOps practices.
The predicted salary is between 60000 - 70000 € per year.
Aviva is seeking a Senior MLOps/Data Engineer to develop and manage scalable data and machine learning pipelines. This critical role focuses on the lifecycle from raw data to production models, ensuring reliability and efficiency.
Candidates should have strong experience in Python, SQL, and cloud technologies, and familiarity with MLOps practices.
Aviva offers a competitive salary of £60,000 to £70,000, along with bonuses, generous holiday allowance, and supportive well-being initiatives.
Senior MLOps & Data Engineer: Scale Production ML employer: Aviva
Aviva is an excellent employer that prioritises employee well-being and professional growth, offering a competitive salary alongside bonuses and a generous holiday allowance. The collaborative work culture fosters innovation and supports continuous learning, making it an ideal environment for Senior MLOps/Data Engineers to thrive in their careers while contributing to impactful projects in the dynamic field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MLOps & Data Engineer: Scale Production ML
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Aviva. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps and data engineering projects. This is your chance to demonstrate your expertise in Python, SQL, and cloud technologies.
✨Tip Number 3
Prepare for the interview by brushing up on MLOps practices. Be ready to discuss how you’ve tackled challenges in scaling production ML pipelines. We want to see your problem-solving skills in action!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior MLOps & Data Engineer: Scale Production ML
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and cloud technologies. 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 MLOps and data engineering. We love seeing candidates who can articulate their enthusiasm for the field and how they can contribute to our team.
Showcase Your MLOps Knowledge:Since this role focuses on the lifecycle from raw data to production models, make sure to mention any MLOps practices you’re familiar with. We appreciate candidates who understand the importance of reliability and efficiency in machine learning pipelines.
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 don’t miss out on any important updates during the process. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Aviva
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the cloud technologies mentioned in the job description. Brush up on your knowledge of MLOps practices too, as you’ll likely be asked to discuss how you’ve implemented these in past projects.
✨Showcase Your Pipeline Experience
Prepare to talk about your experience with developing and managing data and machine learning pipelines. Have specific examples ready that demonstrate your ability to take raw data through to production models, highlighting any challenges you faced and how you overcame them.
✨Understand Aviva's Values
Research Aviva’s company culture and values. Be ready to explain how your personal values align with theirs, especially regarding reliability and efficiency in your work. This shows you’re not just a technical fit but also a cultural one.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of your interview. Inquire about their current projects, team dynamics, or how they measure success in this role. This demonstrates your genuine interest in the position and helps you assess if it’s the right fit for you.
