Senior Software Engineer developing scalable machine learning solutions for product - driven team at Maropost. Collaborating on recommendation systems and enhancing developer experience within the Machine Learning team.
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
Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
AI Engineer with expertise in Machine Learning for Periferia IT Group. Integrating generative AI models and developing solutions in a hybrid work environment.
Senior Platform/MLOps Engineer designing and maintaining scalable infrastructure for AI at Bright Machines. Join a team transforming manufacturing through intelligent automation.
CO
AI/ML Risk Guide enhancing risk management within Capital One's Tech and Product teams. Collaborating on risk solutions that impact customer experience and stability.
Staff Machine Learning Engineer developing content and creator classification systems for Patreon’s platform insights. Collaborating across teams to enhance discovery and recommendations for creators and fans.
Machine Learning Co - op working on sales and collection AI chatbot projects at Lendbuzz. Gaining experience with data annotation, cleaning, and multilingual model evaluation.
AI Prompt Senior Engineer developing and optimizing large language models for TIAA. Collaborating cross - functionally to create innovative AI solutions with a focus on data science.
Machine Learning Engineer transforming research - driven models into scalable systems. Join Shalion in an international team focused on e - commerce intelligence.
Team Lead Machine Learning overseeing production systems for sustainability analytics using satellite imagery and ML. Leading a technical team to drive innovative geospatial solutions.