226 to 250 of 2,137 Cloud Computing Jobs in England

you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high degree … are looking for: Back-end development: At least 2-3 years of industry experience in back-end engineering developing reliable and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms More ❯

work closely with the Machine Learning team but are not required to have a background in Machine Learning. This is an applied role seeking a software engineer experienced in cloud computing and distributed systems. Responsibilities: Design and develop highly-scalable, fault-tolerant, and event-driven systems. Take ownership of tasks with a high degree of autonomy. Collaborate with … confident deployment processes. Qualifications: At least 2-3 years of industry experience in back-end engineering developing reliable and scalable systems with an object-oriented programming language. Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), infrastructure-as-code (Terraform), and observability tools (Datadog, Grafana). Curiosity and eagerness to learn. Strong analytical and problem-solving skills with attention More ❯

Machine Learning and R&D Engineer (KTP Associate) will be supervised and mentored by both a lead academic and academic supervisor academics from Birmingham City University's College of Computing and Digital Technology within the Faculty of Computing, Engineering and Built Environment (CEBE) as well as a company supervisor located at Buro Happold Limited whose aim is to … Extraction and Retrieval techniques. Proven understanding of NLP and large language models. Proven understanding of database concepts (differences between graph/relational/non-relational). Proven familiarity with cloud computing platforms (e.g., AWS, Azure, GCP), Azure preferred. Experience with version control tools (i.e. Git). Experience with dataset and model versioning tools is a plus. Experience with … knowledge of Windows, and willing to learn basic knowledge of some Microsoft-based tools needed for data acquisition and deployment (mainly SharePoint). Desirable: Experience with Azure or other cloud services. Experience with dataset versioning tools (e.g. DVC) Experience with ML models versioning tools (e.g. MLFlow) Understanding of data structures, algorithms, OOP concepts. Understanding of basic software engineering design More ❯

you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high degree … are looking for: Back-end development: At least 2-3 years of industry experience in back-end engineering developing reliable and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms More ❯

experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance … experienced Professional Services Delivery Manager, you will be responsible for: Building and managing a high-performing team of Delivery Consultants Collaborating with Delivery Consultants, Engagement Managers, Account Executives, and Cloud Architects to deploy solutions and provide input on new features Developing and overseeing the implementation of innovative, forward-looking IT strategies for customers Managing practice P&L, ensuring on More ❯

improve performance, scalability, resilience and efficiency. Key Responsibilities Assisting the Infrastructure Engineers in supporting and improving the company's technology infrastructure, which includes multiple office locations and various Microsoft Cloud subscriptions Working alongside the Cloud Infrastructure Leads to help implement standardized templates and configuration baselines, enabling approved teams to efficiently use cloud resources Assisting in building and … maintaining infrastructure technologies and solutions, including compute, storage, networking, physical infrastructure, software, and both commercial and open-source solutions, as well as cloud computing (IaaS, PaaS, SaaS) Contributing to efforts to automate manual or repetitive infrastructure tasks, under the guidance of senior engineers, to improve efficiency Helping to maintain secure infrastructure components, including identity and access management, patching … and disaster recovery, while following best practices in security and compliance Supporting processes and controls to ensure maximum uptime and quick service for both physical and cloud-based systems, contributing to operational excellence Staying up to date with information security principles and practices that help mitigate risks within infrastructure solutions Learn and adopt modern infrastructure standards and practices under More ❯

and align solutions with customer strategies and requirements Lead technical risk assessments for complex, integrated, and non-standard projects to support management approvals Design secure and scalable edge-to-cloud solution architectures that address customer objectives and enable digital transformation Prepare and deliver value-based workshops to identify customer pain points, desired outcomes, and relevant use cases Support execution … field, with 10+ years of technical experience in enterprise environments, particularly in digital buildings and smart infrastructure Strong knowledge of smart building technologies, IoT platforms, and solution architectures - especially cloud-based and edge-to-cloud models Solid understanding of IT/OT integration, cybersecurity principles, and industry-standard communication protocols (including API/SDK) Proficiency in operating systems … Windows Server, Linux), databases (MS SQL, Oracle, MongoDB), high availability systems (e.g., VMware, Hyper-V, Citrix) and cloud platforms (AWS, Azure) Practical experience in delivering consulting services, including customer co-creation, design-thinking workshops, and use case development Experience in ROI validation, value engineering, and aligning solutions with customer KPIs and business outcomes Exposure to verticals such as datacenter More ❯

and practices. Previous Technical Product Management or Technical Product Ownership experience, or experience working in an adjacent technical role. Experience with architecture patterns such as Microservices architecture, Serverless and Cloud computing, RESTful APIs etc. Strategic thinking; ability to set a clear vision, prioritise and plot a roadmap to get there. Analytical and problem-solving skills using data and … insight. Ability to communicate confidently with a wide range of stakeholders, including both technical and non-technical. Proficiency in cloud computing services like AWS and Azure. Hands-on experience with containerization technologies, particularly Kubernetes. Advanced skills in utilizing log analysis tools such as Splunk. Leadership in architecture and design. Experience in implementing and managing cybersecurity measures to protect More ❯

robust database infrastructure to optimise internal data workflows and enable scalable access to data to consultants and to our in-house modelling software. Develop and maintain computational infrastructure, including cloud-based solutions, to enable efficient and scalable stochastic modelling of power systems and energy assets across European and global markets. Lead the design and improvement of UI/UX … consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend development: e.g. JavaScript/TypeScript, React, Dash, or similar frameworks Backend APIs: FastAPI, Flask More ❯

using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities. Stay updated with the latest trends and developments in the … data engineering field, such as modern data stack, big data technologies, cloud computing, etc Assist with defining the processes needed to achieve operational excellence Ensure data quality across all projects/clients Define and manage SLA's for data sets and processes throughout production Lead on the design, build and launch of new data models and pipelines Key … Skills/Experience: Experience in operating as part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL More ❯

and practices. Previous Technical Product Management or Technical Product Ownership experience, or experience working in an adjacent technical role. Experience with architecture patterns such as Microservices architecture, Serverless and Cloud computing, RESTful APIs etc. Strategic thinking; ability to set a clear vision, prioritise and plot a roadmap to get there. Analytical and problem-solving skills using data and … insight. Ability to communicate confidently with a wide range of stakeholders, including both technical and non-technical. Proficiency in cloud computing services like AWS and Azure. Hands-on experience with containerization technologies, particularly Kubernetes. Advanced skills in utilizing log analysis tools such as Splunk. Leadership in architecture and design. Experience in implementing and managing cybersecurity measures to protect More ❯

Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like More ❯

understanding of machine learning, natural language processing, and other AI techniques. Strong data analysis skills, with experience using tools like SQL, Python, R, and data visualisation platforms. Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences. Strong project More ❯

Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like More ❯

s Trusted Research Environments (TRE), and contributing to roadmap design, adoption, implementation and management. Supporting the Architecture evolution by driving design and delivery of multi-environment and potential multi-cloud compute capability development and maturity Technology analyst supporting the adoption of TREs to support DS team activities, and management of TREs Technical design and implementation of infrastructure technology architecture. … in Working as an IT analyst/Administrator of complex and/or niche IT systems Experience as a Linux support analyst/system administrator History of working with Cloud computing (Azure preferred), containerisation (Docker), orchestration (Kubernetes) and Infrastructure as Code (e.g. Terraform) Technical support of HPC. Working for Architects to deliver change in IT infrastructure. Previous experience … engages with multiple teams and stakeholders to align goals and manage interdependencies. Decision making and problem solving – analyses available information and makes data-driven decisions independently in familiar situations. Cloud and infrastructure management – manages cloud-based platforms, optimizing performance and security. Enterprise architecture and system integration – designs and maintains modular, scalable architectures Cybersecurity and compliance – implements security controls More ❯

you’ll be adept at building relationships with internal and external stakeholders, end users, and third parties to understand business requirements, define architectural standards, and develop scalable and secure cloud architectures. Your role will involve providing technical leadership, guiding teams through the entire project life-cycle, and ensuring alignment with industry best practices and Azure architectural principles. What you … enterprise-scale solutions on the Microsoft Azure platform, considering factors such as scalability, availability, security, and cost optimization. Define and enforce architectural standards, guidelines, and best practices for Azure cloud solutions, ensuring alignment with organizational goals and industry standards. Conduct architectural reviews and provide guidance to development teams on implementing Azure services and technologies effectively. Design and implement highly … and implementing enterprise-scale solutions on the Microsoft Azure platform. In-depth understanding of Azure services and technologies across compute, networking, storage, databases, security, and governance. Strong knowledge of cloud computing concepts and architectures, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Experience with architecting and implementing microservices More ❯

practices pertaining to the risk and controls of the technology assets and systems, adherence to policies, standards, and procedures. Risk assessment of the impact of changing application, infrastructure, and Cloud computing services on the Goldman Sachs technology portfolio. Coordination and key participation in the development of the evolving risk position of new technology and third-party software. For … Technology Audit, Application Security, Software/Infrastructure Engineering, or related fields. Experienced in regulatory technology related examinations. Proven ability to perform test of controls (design and operating effectiveness) e.g. Cloud, SDLC, AI/ML, Change Management, Identity and Access Management, Third Party, Encryption, Configuration Management, Patching, Network Security, Incident Response, Capacity and Resiliency. Knowledge with technology application and infrastructure … components such as Servers, Storage, Networking, Application Development, SDLC, End User Platforms, Digital Workflow, Artificial Intelligence & Machine Learning, Cloud technologies, Data Engineering, Mobile/Web, and Database Management systems. Ability to review code (Java, C#, C++, Python, VBA macros etc.) Systems development/SDLC tools and processes (SVN/CVS, build, software testing, configuration, and deployment) Linux and Windows More ❯

squads and business stakeholders Develop robust, production-quality software artifacts using Python and large-scale data workflow orchestration platforms (e.g., Airflow), while managing team resources & timelines Leverage expertise in cloud computing platforms (AWS and Azure) to build and optimize AI infrastructure Champion ML governance, ensuring adherence to guidelines, monitoring SLAs, and enhancing AI solutions’ performance and reliability Translate … learning methods. Experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch. Expertise in containerization (e.g., Docker, Kubernetes, AWS EKS) and building scalable systems in cloud environments. Deep understanding of software development fundamentals, including automated testing, source version control, and code optimization. Excellent communication and collaboration skills, with the ability to interact effectively with both More ❯

experience with Microsoft .NET technologies and SQL Server. Proficiency in C# .NET, React, JavaScript, GraphQL, HTTP, REST, and SOAP. Possess in-depth understanding of multi-tier applications, serverless architecture, cloud computing, and database design. In-depth experience with product/application development life cycle. Proficiency in UI API development and integration. Proficiency in UI design & business process design. More ❯

Essential Over 8 years experience in Site Reliability Engineering or a similar role, especially in a production environment. Expertise in Python, C++, or Rust, with a solid foundation in cloud computing platforms (AWS, GCP, or Azure). Expert of CI/CD processes, containerization (Docker, Kubernetes), and a deep understanding of networking, distributed systems, and databases. Expert with More ❯

strategic environmental and/or release challenges. Collaborating cross-functionally, contribute towards long term test environment and release management standards/processes that align and grow with our Agile, Cloud and Dev Ops strategies. Create and execute against an approach for driving adoption, implementation, governance and education of new test environment and release processes. Non-production data management including … development, system architecture and cyber securities practices. Beneficial to have skills in a scripting language such as Python, or similar, with experience of operating in on-prem, hybrid, and cloud computing platforms (Azure) Strong problem-solving skills, with an emphasis on consensus building and collaboration. Strong Microsoft Skills, including PowerPoint & Excel; understand and document Process Maps using tools More ❯

and Professional Expertise Preferred Qualifications: Knowledge and application of relational database concepts. Basic programming skills and web development understanding, e.g. Ruby on Rails, JAVAScript, HTML, CSS, SQL. Experience with Cloud computing (AWS/Azure/GCP). Skilled at working with large data sets in Excel, quickly detecting and resolving data-related issues. Skilled at completing technical design More ❯

approaches. Interest in energy trading and willingness to work across the business on understanding the needs of different teams. Beneficial Requirements: Experience with Docker and containers desirable Experience with cloud computing (e.g. Microsoft Azure) beneficial Some experience of working in the energy market or prior exposure to a trading environment would be beneficial. Experience with real time streams More ❯

. Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical audiences. Proficiency in solution design and modelling tools, enterprise architecture frameworks, and cloud computing platforms (AWS, Azure, GCP), virtualisation, networking, and cybersecurity tools. Strong analytical and problem-solving abilities, with a focus on delivering practical and effective solutions to real-world More ❯

to provide innovative solutions to enhance the capabilities of the Risk Management department. The suitable candidate would have hands-on technical experience of implementing PFE analytic solutions preferably in cloud computing environments using .NET tech stack. Development experience using the S&P Global Financial Risk Analytics (FRA) Risk/Pricing platform is required. Requirements : Practical experience of building More ❯