Key skills
CloudKubernetesPythonAIMachine LearningMLLeadership
About this role
Role Overview
- Contribute to the design and evolution of our Data Science platform
- Define best practices, tooling, and the ML Engineering function
- Automate the end-to-end data science lifecycle
- Collaborate on all aspects of the data science and deployment lifecycle
- Write high quality python code for model development, deployment, and maintainability
- Contribute to data science modeling and project workflows, selecting modeling approaches and deployment strategies
Requirements
- Proven track record in data science or ML engineering roles within a business setting
- Strong python programming skills and wider software engineering best practice
- Good understanding of core data science principles
- Experience with production-level cloud-native deployment of machine learning services
- Experience with containerisation, Kubernetes or equivalent
- Experience deploying data science models within a regulated industry such as finance or insurance
- Experience utilising LLMs, generative or agentic AI in a commercial setting is beneficial
Tech Stack
- Cloud
- Kubernetes
- Python
Benefits
- Comprehensive benefits package designed to support financial, physical, and personal wellbeing
- Retirement plans
- Healthcare coverage
- Flexible working options
- Professional development support
- Financial support for professional qualifications
- World-class technical training
- Courses focused on personal growth, career progression, and leadership skills
- Hybrid working model for better personal work-life balance