Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and development of production ML models using Databricks.
- Company: Global specialty lines (re)insurer with a focus on innovation.
- Benefits: Pension scheme, health coverage, and flexible working model.
- Why this job: Join a dynamic team and make an impact in the world of machine learning.
- Qualifications: Bachelor’s degree in STEM and experience in machine learning and data engineering.
- Other info: Hybrid role with opportunities for cross-functional collaboration.
The predicted salary is between 43200 - 72000 £ per year.
A global specialty lines (re)insurer in England seeks a Senior Machine Learning Engineer to lead the design and development of production ML models. The ideal candidate will have a Bachelor’s degree in a STEM subject and extensive experience in machine learning and data engineering. This hybrid role involves working cross-functionally and requires proficiency in SQL, Python, and Databricks.
Competitive benefits include:
- Pension scheme
- Health coverage
- Flexible working model
Senior ML Engineer: Production ML on Databricks in Manchester employer: Canopius
Contact Detail:
Canopius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: Production ML on Databricks in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other ML engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ML projects, especially those using Databricks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on SQL and Python. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer: Production ML on Databricks in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and data engineering. We want to see how your skills in SQL, Python, and Databricks align with the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about production ML and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them! We’re interested in seeing real-world applications of your skills, especially those that demonstrate your ability to work cross-functionally.
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 – just follow the prompts!
How to prepare for a job interview at Canopius
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've worked on in detail. Be prepared to explain your design choices, the challenges you faced, and how you overcame them. This shows your depth of knowledge and practical experience.
✨Brush Up on SQL and Python
Since proficiency in SQL and Python is crucial for this role, review key concepts and be ready to solve problems on the spot. Practising coding challenges or SQL queries can help you feel more confident during technical discussions.
✨Familiarise Yourself with Databricks
As this role involves working with Databricks, make sure you understand its features and functionalities. If possible, try to work on a small project using Databricks before the interview to demonstrate your hands-on experience.
✨Prepare for Cross-Functional Collaboration Questions
This position requires working cross-functionally, so expect questions about teamwork and collaboration. Think of examples where you've successfully worked with other teams, highlighting your communication skills and ability to adapt.
