Resident Actuarial Engineer Manager at Kemper overseeing data - driven pricing strategies and actuarial engineering development. Collaborating with teams to enhance data workflows and analyses for insurance products.
About the role
- Java Engineer at Solirius Reply designing and deploying AI-integrated scalable applications. Building backend systems with a focus on performance optimization and machine learning integration.
Responsibilities
- Design, develop, and maintain high-performance Java-based applications
- Integrate AI/ML models into production-grade backend systems
- Build RESTful APIs and microservices using modern Java frameworks
- Collaborate with data scientists to deploy and scale machine learning solutions
- Optimise system performance, scalability, and security
- Implement CI/CD pipelines and ensure high code quality standards
- Work with cloud platforms to deploy AI-powered services
- Contribute to architecture decisions and technical roadmaps
- Design, develop, and maintain high-performance Java-based applications
- Integrate AI/ML models into production-grade backend systems
- Build RESTful APIs and microservices using modern Java frameworks
- Collaborate with data scientists to deploy and scale machine learning solutions
- Optimise system performance, scalability, and security
- Implement CI/CD pipelines and ensure high code quality standards
- Work with cloud platforms to deploy AI-powered services
- Contribute to architecture decisions and technical roadmaps
Requirements
- Strong experience with Java 12+, Spring Boot, and microservices architecture
- Experience integrating AI/ML solutions into backend systems
- Understanding of REST APIs, distributed systems, and database design
- Familiarity with SQL and NoSQL databases
- Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure)
- Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes
- Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries)
- Strong problem-solving and communication skills
Benefits
- Competitive Salary
- Bonus Scheme
- Private Healthcare Insurance
- 25 Days Annual Leave + Bank Holidays
- Up to 10 days allocated for development training per year
- Enhanced Parental Leave
- Paid Fertility Leave (5 Days)
- Statutory & Contributory Pension
- EAP with Help@Hand
- Gym Membership Benefits
- Flexible Working
- Annual Away Days/Company Socials
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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