The Lead MLOPS Data Engineer is a key role that sits in the Group Enterprise Systems (GES) data team and holds the responsibility of developing and leading a team of MLOPS engineers and owner the MLOPS chapter
Job Summary
The Lead MLOPS Data Engineer is a key role that sits in the Group Enterprise Systems (GES) data team and holds the responsibility of developing and leading a team of MLOPS engineers and owner the MLOPS chapter.
In this role you’ll have accountability for developing standards, processes and deliverables for MLOPS across GES.
Our benefits package includes a bonus, contributory pension, 25 days annual leave plus 2 Hiscox days and a 4 week paid sabbatical with every 5 years’ worth of service, private medical for all the family and much more.
Matching Summary
The Lead MLOPS Data Engineer is a key role that sits in the Group Enterprise Systems (GES) data team and holds the responsibility of developing and leading a team of MLOPS engineers and owner the MLOPS chapter.
Skills & Requirements
Must-have
leading a team of ML Engineers
infrastructure for deploying ML models
CI/CD pipelines
feature stores
data quality
productionize ML models
Python developer
GCP or Databricks
software engineering best practice
infrastructure as code tools like Terraform
CI/CD tools and Git-based workflows
API operations monitoring and logging
agile Scrum ceremonies
Nice-to-have
stakeholder management
leading and coaching others
challenging new ways of working
ownership and autonomy
outstanding collaborator
insurance industry experience
mentoring junior team members
inquisitive mind-set
continuous self-improvement
Key Requirements
Demonstrate experience of leading a team
Experience of working with partners and business stakeholders
Must be able to work independently and as a team member
Solid experience as a Python developer
Hands-on experience of integrated cloud data science platforms
Good understanding of core data science principles
Strong understanding of software engineering best practice
Experience with infrastructure as code tools
Experience with CI/CD tools and Git-based development workflows
Understanding of API operations monitoring and logging
Strong problem-solving skills
Experience collaborating in agile Scrum ceremonies