7 of 7 Remote/Hybrid Cloud Computing Jobs in Manchester

with modern AI techniques and tooling, which may include LLM-powered applications, retrieval‐augmented generation, model serving, evaluation frameworks, AI agents, data pipelines, and cloud‐native infrastructure. Contributing to sprint planning sessions, retrospectives and code reviews, working with your team lead to plan your project work. Ensuring our high … emerging technologies. If you get excited about keeping up with the newest AI tools, figuring out how to scale generative AI systems in the cloud, or turning prototypes into production software, then you’ll fit right in. Some of the skills and experience we look for include: An undergraduate ...

Proven experience as a Solution Architect with a strong track record of delivering technology solutions within complex enterprise environments. Strong knowledge of enterprise architecture, cloud platforms, integration approaches and modern technology frameworks, including experience working across applications, infrastructure and data environments. The ability to communicate and influence effectively with … modelling and design frameworks, Physical Infrastructure and deployment models, Architecture and design frameworks such as TOGAF, ZACHMAN etc Expert knowledge and understanding of Mainstream computing platforms and architectures, Operating systems, Databases, End user computing platforms, Networks and communications, Cloud computing delivery platforms (IaaS, PaaS & SaaS), Virtualisation ...

maintain AI/ML systems. They leverage ML algorithms and deep learning techniques to build models that solve business problems, using data pipelines and cloud infrastructure. They also monitor and optimise model performance.In your role, you will have responsibility for deliverables and client stakeholder relationships and will be delivering … machine learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation and analysis using ...

accurate, computationally efficient, and scalable models for large-scale production environments. Track record of mentoring junior colleagues and successfully leading technical projects. Experience with cloud computing environments for scalable solutions. What you will be doing Leading the development and implementation of innovative data solutions for complex challenges, solving ...

shaping the solution to deliver maximum benefits. You can take complex issues and explain them for a diverse audience.Essentials:Experience in ERP, EPM and cloud computing (including storage, platforms and data)Relevant work experience in Finance technology or related fieldFinance transformation experience with one or more … least two end-to-end Workday implementations.Desirables:Demonstrated understanding of the current state of the art for automation, continuous integration/deployment and cloud-based delivery modelsComfortable talking about technical issues with businesspeople and business issues with technical peopleAble to express complex concepts in plain language to reach broader ...

shaping the solution to deliver maximum benefits. You can take complex issues and explain them for a diverse audience.Essentials:Experience in ERP, EPM and cloud computing (including storage, platforms and data)PRISM analytics and reporting certifications and relevant experience with Workday FinancialsBe able to plan and deliver ...

solution to deliver maximum benefits. You can take complex issues and explain them for a diverse audience. Essentials: Experience in ERP, EPM and cloud computing (including storage, platforms and data) PRISM analytics and reporting certifications and relevant experience with Workday Financials Be able to plan and deliver ...