Machine Learning Implementation Manager

Machine Learning Implementation Manager – London – Hybrid – Excellent salary + Bonus + Career Development
Overview
An exciting opportunity has arisen with a global insurance company for a Machine Learning Implementation Manager. You will develop cutting edge solutions that put analytics at the heart of decision-making. You will work closely with other members of the
Strategic Analytics team on high-profile analytics projects that drive business strategies. As a key member of the implementation engineering team, you will extend the capacity to deliver and push the team forward.
Role & Responsibilities
Lead Orchestration of real-time predictive analytic solutions leveraging Azure Data Factory, Function Apps and other tools
Manage deployments of real time analytics services
Use SQL, Python and Snowflake to understand underlying data, and suggest improvements for performance and best practices
Lead collaboration with project stakeholders and other developers
Manage code development and deployment using Azure Data Factory, VS Code and GitHub
Contribute and promote evolving best practices
Document and manage technical workflows and implementation processes
Essential skills and experience
2+ years of leading data/implementation engineering projects
2+ years of Python development experience
2+ years of API development experience
Demonstrated experience building data structures to support analytics/research/actuarial functions in an insurance company setting
Experience with cloud technologies like Snowflake and Databricks
Familiarity with the MLOps framework
Exceptional collaboration and relationship building skills
Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces
Strong data manipulation skills for analytics
Resilient problem solving and critical thinking skills
Thorough understanding of data warehousing concepts and design
Ability to communicate effectively to different target audiences
Flexibility – able to meet changing requirements and priorities
Desirable:
Experience with Azure Functions is a plus
Package
Excellent salary – to be discussed upon interest
Hybrid – 3 days in the office, 2 days remote
Bonus
25 days annual leave + bank holidays (increases to 30 days per year of service)
10% pension – they will also match your contribution on top
Private medical and dental including family cover
Gym membership
Discounts – travel, retail, food and many more
L&D – Career development plans
Training courses provided by inhouse training academy