65 Best aws cloud Jobs in Bolton (April 2026)

Senior Machine Learning Engineer

2 days ago

Bolton

Job title: Senior Machine Learning Engineer The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have. Locations: Manchester or Haywards Heath (hybrid working) Role overview 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. As a Senior 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 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. 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 state-of-the-art, robust, and future extensible., • Tune machine learning methods for optimal performance. xrnqpay, • Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles., • Actively contribute to creating a culture of coding and data excellence, • Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home, • Previous experience in tuning and deploying machine learning methods, • Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering, • Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc., • Experience with deploying services in Docker and Kubernetes, • Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches, • Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL), • Experience in source-control software, e.g., GitHub, • Proficient at communicating results in a concise manner both verbally and written, • A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline, • Collaborative and team player, • Logical thinker with a professional and positive attitude, • Passion to innovate and improve processes

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