Machine Learning Engineer developing and optimising ML models at Junglee Games. Working on data processing, model productionisation, and collaboration with engineering teams.
About the role
- Senior ML Ops Engineer overseeing machine learning model deployment at a digital insurance company. Collaborating with various teams to enhance data science capabilities and drive pricing innovation.
Responsibilities
- Reporting to the Head of Market Pricing
- Working closely with the Motor and Home Market Modelling teams, stakeholders across all Pricing teams, Data and ML Engineering teams
- Deployment and maintenance of machine learning models and data science solutions
- Provide strategic guidance and tooling to benefit the wider Pricing, Data and Analytics community
- Build reusable, maintainable, automated, and innovative processes and pipelines
Requirements
- Proven track record of delivering commercial value using supervised machine learning techniques
- Advanced Python programmer, and experience with data manipulation and analysis libraries (e.g., NumPy, Pandas, scikit-learn)
- Advanced knowledge of data science technologies including tooling and platforms
- Advanced SQL knowledge
- Advanced in Git
- Ability to drive projects from initiation to completion
- Keen interest in emerging Machine Learning techniques
- Experience with Cloud deployments (e.g. Azure/AWS/GCP)
Benefits
- Flexible working – we champion a flexible hybrid working approach
- Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus
- Physical wellbeing – as a Band 4 colleague, Hastings pay for you to receive private medical Insurance (also known as PMI)
- Financial wellbeing – as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%
- 27 days annual leave + bank holidays, with the option to buy or sell one of your weeks
- Access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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