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Java Engineer, AI

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πŸ•’ February 18

🏒🏑 London – Hybrid

⏰ Full Time

🟑 Mid-level

🟠 Senior

πŸ”™ Backend Engineer

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Solirius Consulting

WebsiteLinkedIn

51 - 200 employees

We are an independent software and technology consultancy who pride ourselves on our ability to deliver complex technology solutions for our clients. We focus on understanding our client’s business and work with them to deliver change that makes their business more effective. Our multidisciplinary teams are made up of delivery experts, technology and software experts and user experience experts who have the drive, talent and creativity to take strategies from inception all the way through to business adoption.

πŸ“‹ Description

β€’ Design, develop, and maintain high-performance Java-based applications β€’ Integrate AI/ML models into production-grade backend systems β€’ Build RESTful APIs and microservices using modern Java frameworks β€’ Collaborate with data scientists to deploy and scale machine learning solutions β€’ Optimise system performance, scalability, and security β€’ Implement CI/CD pipelines and ensure high code quality standards β€’ Work with cloud platforms to deploy AI-powered services β€’ Contribute to architecture decisions and technical roadmaps β€’ Design, develop, and maintain high-performance Java-based applications β€’ Integrate AI/ML models into production-grade backend systems β€’ Build RESTful APIs and microservices using modern Java frameworks β€’ Collaborate with data scientists to deploy and scale machine learning solutions β€’ Optimise system performance, scalability, and security β€’ Implement CI/CD pipelines and ensure high code quality standards β€’ Work with cloud platforms to deploy AI-powered services β€’ Contribute to architecture decisions and technical roadmaps

🎯 Requirements

β€’ Strong experience with Java 12+, Spring Boot, and microservices architecture β€’ Experience integrating AI/ML solutions into backend systems β€’ Understanding of REST APIs, distributed systems, and database design β€’ Familiarity with SQL and NoSQL databases β€’ Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) β€’ Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes β€’ Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) β€’ Strong problem-solving and communication skills

πŸ–οΈ Benefits

β€’ Competitive Salary β€’ Bonus Scheme β€’ Private Healthcare Insurance β€’ 25 Days Annual Leave + Bank Holidays β€’ Up to 10 days allocated for development training per year β€’ Enhanced Parental Leave β€’ Paid Fertility Leave (5 Days) β€’ Statutory & Contributory Pension β€’ EAP with Help@Hand β€’ Gym Membership Benefits β€’ Flexible Working β€’ Annual Away Days/Company Socials

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