Scroll down to find the complete details of the job offer, including experience required and associated duties and tasks.
Job title: Machine Learning Engineer
Locations: Manchester or Haywards Heath (hybrid working)
Role overview
Markerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines.
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 £1 billion. 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 Machine Learning Engineer, you will use your skills to:
- Tune machine learning methods to best leverage our state-of-the-art processing capabilities
- Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment
- Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards
Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation.
You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. xwwtmva
Key Responsibilities:
- Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting
- Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software.
- Work in a collaborative environment with data science to help deploy machine learning methods that are
Please click on the apply button to read the full job description
…