Overview

Join to apply for the Senior Machine Learning Engineer role at Markerstudy Group.

Locations: Manchester or Haywards Heath (hybrid working).

Markerstudy Group are looking for a Senior 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.

Key Responsibilities

• 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 environment.
• Create robust high-quality code using test-driven development (TDD) and adhering to SOLID coding standards.
• Refine, tune, deploy and maintain machine learning methods in our ML pipeline to maximise performance and robustness.
• Lead and mentor junior machine learning engineers and share best practices.

Your work will enable sustained improvements to products, prices and processes by minimising development to deployment and monitoring stages of the ML lifecycle through automation. You will contribute to driving machine learning initiatives across Motor, Home and Commercial Lines.

Key Skills and Experience

• Experience tuning and deploying machine learning methods.
• Experience with predictive modelling techniques (e.g., Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, Clustering).
• Experience with DevOps and ML lifecycle tools (Azure ML or other MLOps stacks such as AWS, Databricks, Google Cloud).
• Experience deploying services in Docker and Kubernetes.
• Production-grade coding with SOLID principles and TDD.
• Programming languages: Python, PySpark, R, SAS, SQL.
• Experience with source control (e.g., GitHub).
• Strong ability to communicate results concisely, both verbally and in writing.
• Experience in data and model monitoring is a plus.

Behaviours

• High level of professional/academic excellence, typically Master’s level in a STEM/DS/ML/AI or mathematical discipline.
• Collaborative and team-oriented.
• Logical thinker with a professional and positive attitude.
• Passion to innovate and improve processes.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Insurance