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- Tasks: Join our team to automate and enhance machine learning processes in a cloud environment.
- Company: Markerstudy Group, a leading UK insurance provider with a collaborative culture.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Exciting career development in a dynamic and innovative environment.
- Why this job: Make a real impact in the insurance industry using cutting-edge machine learning technology.
- Qualifications: Recent graduates with a passion for machine learning and automation.
The predicted salary is between 28000 - 38000 £ per year.
Locations: Manchester or Haywards Heath (hybrid working)
Role overview
Markerstudy Group has an exciting opportunity for a graduate machine learning engineer to fill out the automation, pipelining, DevOps, and modelling aspects of Markerstudy’s market-leading technical modelling and pricing team. You will productionise novel insurance modelling processes as an automated machine learning pipeline within a cloud-based environment.
Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. Most of Markerstudy’s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few.
As a graduate machine learning engineer, you will work with and under the expert supervision of machine learning engineers to help build and maintain the pricing team’s MLOps and ML Lifecycle environment and support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function.
Key Responsibilities:
- Build an MLOps / DevOps environment to support machine learning automation.
Graduate Machine Learning Engineer employer: Vermelo RPO
Contact Detail:
Vermelo RPO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the machine learning field on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to automation and MLOps. This is your chance to demonstrate what you can do beyond your CV, and we love seeing creativity!
✨Tip Number 3
Prepare for interviews by practising common machine learning questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for fresh talent like you!
We think you need these skills to ace Graduate Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Graduate Machine Learning Engineer role. Highlight relevant projects, skills, and experiences that align with the job description. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background makes you a great fit for us. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any machine learning projects, be sure to mention them in your application. Whether it's coursework, personal projects, or internships, we want to know what you've done and how it relates to the role.
Apply Through Our Website: We encourage you to apply through our website for the best experience. It’s straightforward and ensures your application gets to the right place. Plus, you’ll find all the info you need about the role there!
How to prepare for a job interview at Vermelo RPO
✨Know Your Machine Learning Basics
Brush up on your machine learning fundamentals before the interview. Be ready to discuss algorithms, model evaluation metrics, and the differences between supervised and unsupervised learning. This will show that you have a solid foundation and are eager to apply your knowledge.
✨Familiarise Yourself with MLOps
Since the role involves building an MLOps environment, make sure you understand what MLOps entails. Research tools and practices used in MLOps, such as CI/CD pipelines, containerisation, and cloud services. Being able to speak about these topics will impress your interviewers.
✨Prepare for Technical Questions
Expect technical questions related to automation, pipelining, and DevOps. Practice coding problems or case studies that might be relevant to the role. You could even simulate a coding interview with a friend to get comfortable with articulating your thought process.
✨Show Enthusiasm for the Insurance Sector
Markerstudy Group operates in the insurance industry, so it’s beneficial to demonstrate your interest in this field. Research the company and its market position, and be prepared to discuss how machine learning can innovate insurance processes. This will help you connect your skills to their business needs.