CPQ, and Builder.io. Oversee the optimization of cost-benefit ratios in technological implementations and strategies on AWS. Stay abreast of the latest trends in cloud technologies, serverless architectures, and digital transformation practices. Understand CI/CD processes and have hands-on experience with GIT and Jenkins. Expertise in UML … of POCs and prototypes. Guide evaluating various technology options and selecting products aligned to business and technical architectures. Core Area of Expertise: Expertise across cloud-native architecture, Omni-channel system of engagement, big data architecture, advanced analytics & visualization, legacy modernization. Knowledge of the drivers and decision points for More ❯
City, Edinburgh, United Kingdom Hybrid / WFH Options
ENGINEERINGUK
work as a teammate in a fast-paced environment. Build opportunities to integrate and automate operational processes, procedures, and tooling. Experience in working with CloudNative Platforms e.g., Azure, AWS, GCP, etc. Pluses Keen interest and willingness to learn any of these technologies: Ansible, Chef, AWX, Service Now More ❯
Glasgow, Renfrewshire, United Kingdom Hybrid / WFH Options
City Plumbing Supplies
Ideally supporting a shift towards modern practices. Effective communication and interpersonal skills. Strong analytical and problem-solving abilities. Knowledge of DevOps practices including CICD, Cloudnative, observability and automation. Continuous learning mindset and a passion for keeping up with industry trends and emerging technologies. We're proud of More ❯
Kilmarnock, Gatehead, Ayrshire and Arran, United Kingdom
CYFR LYNK
and backend services Securely manage healthcare data using MySQL and Entity Framework Integrate with clinical systems including EMIS, Vision, and SystmOne Deploy and support cloud-native applications on Microsoft Azure Provide third-line support and ongoing maintenance of existing systems Collaborate with cross-functional teams including data science More ❯
City, Edinburgh, United Kingdom Hybrid / WFH Options
Lloyds Bank plc
Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering Experience with cloud-native AI environments and SaaS-delivered AI products. Exposure to incident response and major event management involving technology failures. We want our people More ❯
more of the following: LLMs, agent frameworks, RAG, knowledge representation, or autonomous data pipelines. Strong programming and software engineering skills (Python preferred; familiarity with cloud-native and MLOps tools). Demonstrated experience in building and deploying AI systems in production environments. Strong understanding of data governance, bias, fairness More ❯
new ideas, designs, and technologies, ultimately integrating them into our data centers for the benefit of both internal operations and external users, such as cloud services. Our team's unique position enables us to bridge the gap between cutting-edge systems research and practical engineering environments, facilitating the translation … graduates in computer-related fields and experienced engineers with expertise in systems. If you possess knowledge in operating systems, heterogeneous hardware, distributed systems, or cloud-native applications, we encourage you to reach out. As an engineer in the SIR Lab, you will collaborate with leading scientists, tackle cutting … selecting research problems, designing solutions, analyzing results, and building prototypes to showcase the advantages and challenges of these technologies across various data center and cloud applications. Design, implement, and evaluate key technologies and associated algorithms. Actively engage with academia, industry, and open-source communities to establish influence and contribute More ❯
implementation details to ensure reproducibility and facilitate knowledge transfer within the team. Research & Technology Exploration: Stay current with the latest advancements in AI infrastructure, cloud-native technologies, and operating systems. E.g. techniques to efficiently execute inference workload based on SW/HW co-design; exploit workload characteristics to More ❯