At a Glance
- Tasks: Enhance machine learning capabilities for innovative insurance risk modelling and pricing.
- Company: Join Markerstudy Group, a leading UK private insurance provider.
- Benefits: Competitive salary, hybrid work, professional development, and a supportive culture.
- Other info: Collaborative environment with opportunities to mentor junior engineers and grow your career.
- Why this job: Make a real impact in the insurance industry with cutting-edge machine learning technology.
- Qualifications: Experience in machine learning methods and strong coding skills required.
The predicted salary is between 57000 - 96000 £ per year.
Salary: £57,000 - 96,000 per year
About the role
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 supports well-known brands such as Tesco, Sainsbury's, 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.
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
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
Technologies
- AI
- AWS
- Azure
- Cloud
- Databricks
- DevOps
- Docker
- GitHub
- Support
- Kubernetes
- Machine Learning
- Python
- PySpark
- SAS
- SQL
- TDD
Senior Machine Learning Engineer employer: Sivara GmbH
Markerstudy Group is an exceptional employer, offering a dynamic and collaborative work environment where innovation thrives. With a strong focus on professional development, employees are encouraged to grow their skills in cutting-edge machine learning technologies while contributing to impactful projects for renowned brands. Located in vibrant Manchester or picturesque Haywards Heath, the company provides a unique blend of career advancement opportunities and a supportive culture that values excellence in coding and data.
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We think this is how you could land Senior Machine Learning Engineer
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We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
