Salary: £57,000 - 96,000 per year Requirements: Previous experience in tuning and deploying machine learning methods Familiarity with predictive modeling techniques such as 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 like AWS, Databricks, Google Cloud Proficiency in deploying services in Docker and Kubernetes Strong ability to create production-grade code following SOLID programming principles, including test-driven development (TDD) Proficiency in programming languages such as Python, PySpark, R, SAS, and SQL Experience with source control software, e.g., GitHub Excellent verbal and written communication skills for conveying results clearly Knowledge of data and model monitoring is a plus Educated to at least a masters level in a STEM-based or Data Science/ML/AI/mathematical discipline Strong collaborative and team-oriented mindset Logical thinker with a professional and positive attitude Passion for innovation and process improvement Responsibilities: Tune machine learning methods to leverage state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps/MLOps environment Create robust, high-quality code using test-driven development (TDD) techniques Refine, tune, deploy and maintain machine learning methods in our pipeline Propose, proof-of-concept, develop, and deliver novel machine learning processes Collaborate with data science teams to deploy state-of-the-art, robust, and extensible machine learning methods Actively contribute to fostering a culture of coding and data excellence Implement efficient solutions across various markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead and mentor junior machine learning engineers, sharing best practices Report and communicate with senior stakeholders, including the Head of Data Science and Machine Learning and Director of Technical Underwriting Technologies: AI AWS Azure Cloud Databricks DevOps Docker GitHub Support Kubernetes Machine Learning Python PySpark SAS SQL TDD More: Markerstudy Group is seeking a Senior Machine Learning Engineer to contribute to innovative insurance risk modeling and pricing techniques. We are a leading provider of private insurance in the UK, insuring a significant proportion of vehicles across the country. Our innovative approach allows us to support well-known brands such as Tesco, Sainsburys, and Halifax. In this hybrid role based in either Manchester or Haywards Heath, you will play a crucial part in enhancing our machine learning capabilities, helping us stay competitive in the market. We offer a collaborative and supportive work environment with opportunities for professional development and a focus on innovation. last updated 21 week of 2026