4 information technology jobs found in Leeds

Key Accountabilities Responsibilities will include: · Design, develop and maintain highly available, secure, and performant backend REST API services along with frontend client using Python , Golang, Docker and Cloud-Native services . · Implement and manage database schema changes using Liquibase , ensuring alignment with compliance and audit standards. · Collaborate closely with Architecture and DevOps teams to enhance, maintain and mature Product capabilities/features. · Perform root cause analysis and implement solutions for incidents and performance bottlenecks. Qualifications and experience The ideal candidate for this role will have the below experience and qualifications: · Bachelor’s or Master’s degree in Computer Science or equivalent industry experience. · Comes from Software Engineering background with infrastructure experience. · 5+ years of development experience...

Key Accountabilities Responsibilities will include: · Design, develop and maintain highly available, secure, and performant backend REST API services along with frontend client using Python , Golang, Docker and Cloud-Native services . · Implement and manage database schema changes using Liquibase , ensuring alignment with compliance and audit standards. · Collaborate closely with Architecture and DevOps teams to enhance, maintain and mature Product capabilities/features. · Perform root cause analysis and implement solutions for incidents and performance bottlenecks. Qualifications and experience The ideal candidate for this role will have the below experience and qualifications: · Bachelor’s or Master’s degree in Computer Science or equivalent industry experience. · Comes from Software Engineering background with infrastructure experience. · 5+ years of development experience...

Key Accountabilities Responsibilities will include: · Deploying, configuring and securing backend REST API services using CSP native services . · Deploying, configuring and securing containerised application runtimes using Infrastructure as Code . · Building and maintaining CI/CD pipelines in collaboration with DevOps and Security teams, focusing on traceability and regulatory controls. · Managing, monitoring, and optimising cloud infrastructure across GCP , ensuring performance, resilience, cost-efficiency, and data security. · Collaborating closely with infrastructure, architecture, and cybersecurity teams to meet internal risk, compliance, and governance requirements. · Supporting live systems, conducting root cause analysis, fixing bugs and implementing solutions for incidents and performance bottlenecks. Qualifications and experience The ideal candidate for this role will have the below...

AI / Machine Learning Engineer Generative AI | Agentic AI | RAG | Production Engineering Contract | £400-500 per day | Inside IR35 Initial 3 months + extension | London or Manchester | Hybrid - Largely Remote     We are looking for hands-on AI/ML Engineers to support the development of production-grade AI products within a major regulated financial-services environment. The requirement is for engineers who can build, integrate, test and operate enterprise AI solutions not candidates whose experience is limited to research, notebooks or chatbot prototypes.     Key responsibilities     Design and build production AI, Generative AI and Agentic AI applications Develop RAG pipelines, agent workflows and enterprise knowledge integrations Build APIs and services using Python and modern backend frameworks Integrate AI capabilities with internal systems, data platforms and business workflows...