AI/Machine Learning Engineer
Treering
AWSCloudPython
Data Scientist
Ardonagh Specialty
full-time
Posted on:
Location Type: Hybrid
Location: London • 🇬🇧 United Kingdom
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
AzureCloudFlaskPythonSQL
About the role
- Collaborate closely with Catastrophe modellers to develop sophisticated risk assessment and predictive models
- Design, build, and deploy AI and analytics solutions for various stakeholders across the organization
- Develop and maintain data visualization dashboards using PowerBI to provide actionable insights
- Build and maintain APIs using FastAPI/Flask for seamless data integration and service delivery
- Design and implement RAG (Retrieval-Augmented Generation) systems for enhanced AI capabilities
- Work with cloud technologies, particularly Azure, to deploy scalable data solutions
- Communicate findings and recommendations effectively to both technical and non-technical stakeholders
- Report directly to and work closely with the Head of Actuarial and Analytics
- Participate in the complete product development lifecycle and engage with senior stakeholders and cross-functional teams
Requirements
- Strong proficiency in Python with at least 2+ years of hands-on experience in data manipulation, analysis, and machine learning
- Expertise in PowerBI for creating interactive dashboards and data visualizations
- Experience with cloud platforms, with Azure strongly preferred
- Proven experience building and maintaining APIs using FastAPI, Flask, or similar frameworks
- Knowledge of AI/ML services and frameworks for model deployment and management
- Understanding of Retrieval-Augmented Generation (RAG) architectures and implementation
- Proficiency with Git and collaborative development practices
- Strong SQL skills for data extraction and database maintenance
- Ability to collaborate closely with Catastrophe modellers
- Excellent verbal and written communication skills
- Adaptability and willingness to learn new tools, languages, and frameworks
- Strong analytical and problem-solving skills
- Proven ability to work effectively in cross-functional teams
- Drive to explore new technologies and approaches
- Desirable: Degree in Mathematics, Computer Science, Engineering, Statistics, or related quantitative field
- Desirable: Understanding of insurance markets, products, and regulatory environment
- Familiarity with Excel for business stakeholder collaboration
Benefits
- Employer pension contribution of 10% (providing you, the Employee provides 5%).
- Good work life balance - flexibility to suit you.
- Competitive salary.
- Life Assurance at X4 of your base salary.
- Group Income Protection.
- Generous Annual Leave entitlement.
- Private Medical Insurance.
- Group annual bonus scheme.
- Apprenticeships and study support.
- Participation in annual Spotlight Awards.
- Community Trust, Sports Teams, office socials and events.
- Wellbeing programmes.
- Discounts across supermarkets, gym memberships, restaurants, and healthcare cash plans.
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonPowerBIFastAPIFlaskAI/ML servicesRetrieval-Augmented GenerationSQLGitdata manipulationdata analysis
Soft skills
communication skillsanalytical skillsproblem-solving skillscollaborationadaptabilitywillingness to learncross-functional teamworkstakeholder engagementreportinginsight generation
