1 to 25 of 253 Remote Permanent Cloud Computing Jobs in London

ll have the chance to work across many areas of algorithmic trading, including: Their research platform, processing TBs of data daily The ultra-low-latency trading engine Their massive cloud computing analytics infra Who you are: An experienced C++ programmer, with Python experience a nice-to-have At least 2 years of experience in a quant finance/ More ❯

are an acquisitive business made up of a network of highly specialised companies, which support leading industrial groups in defining and developing business models using Artificial Intelligence; Big Data; Cloud Computing; Digital Communication and Social Networking. Your new role Due to growth of the business, my client is looking to hire a newly qualified practice trained ACA/ More ❯

three years with new hires and growth at all levels to support the strategic growth of the firm, including its expansion into the US market. The Role As a Cloud Consultant with ISx4, you will be responsible for designing, implementing, and maintaining scalable cloud infrastructure solutions. The role will involve working directly with the client, providing support and … ensuring optimal performance, security, and availability of cloud-based systems and services. The ideal candidate will have a strong background in cloud technologies and infrastructure, excellent problem-solving skills, and a passion for staying up to date with the latest advancements in cloud computing. Having sound data science, programming and analytics skills are desirable to support data … driven decision-making and understand the client journey. The ideal candidate will be an engineer at heart, have a professional work ethic, be able to assist with cloud economics and provide accurate estimates of hosting and associated service costs for inclusion in commercial proposals. ISx4 plans to grow the cloud team in line with other areas of our More ❯

and governance initiatives. Job Description We are seeking an experienced Infrastructure Engineer focusing on AWS, Kubernetes, and modern DevOps practices. Your role involves designing, implementing, and maintaining scalable, resilient cloud infrastructure to support trading operations. A strong background in cloud computing, automation, and CI/CD pipelines is essential to ensure high availability and performance of critical … systems. Key Responsibilities Cloud Infrastructure Management: Design, deploy, and maintain scalable, resilient infrastructure on AWS using Infrastructure-as-Code (IaC). Kubernetes Administration: Manage and optimize Kubernetes clusters for containerized applications, ensuring high availability and security. Automation & CI/CD: Implement and manage CI/CD pipelines for efficient deployment, testing, and monitoring. Observability & Monitoring: Develop monitoring solutions with … tools like Prometheus, Grafana, ELK stack to enhance system reliability. Security & Compliance: Apply best practices for cloud security, IAM policies, and compliance standards (SOC2, ISO 27001). Incident Response & Performance Optimization: Troubleshoot issues, perform root cause analysis, and optimize system performance. Infrastructure as Code (IaC): Use Terraform, Ansible, or similar tools for automation. Collaboration & Knowledge Sharing: Work closely with More ❯

provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is … growing. We are hiring an MLOps Field Engineer to help global companies embrace AI/ML in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning … sales leads. We are specifically looking for people interested in solving the most difficult problems in modern data architectures. Training LLMs on multiple Kubernetes clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams? Processing 10M events in real time for financial transactions? Object detection on 10k parallel 4K video streams? These are the problems we More ❯

Job Description Graduate Cloud Engineer (Oracle Cloud) About Shield Reply: Shield Reply are specialists in the Defence and Security sector, driving technology-led transformational change with the design, delivery and management of Oracle cloud-based services and APEX solutions. Role Overview: We are looking for a motivated Junior Cloud Engineer to join our Defence and Security … team. In this role, you will support the deployment, configuration, and maintenance of secure Oracle Cloud infrastructure environments. Working closely with our experienced cloud and DevOps professionals, you will contribute to designing resilient and scalable cloud solutions that support mission-critical national security systems. This role offers extensive training in Oracle Cloud Infrastructure (OCI) and related … technologies. If you are passionate about cloud computing and eager to make a difference through secure, innovative technology, we encourage you to apply. This is a Bristol-based role which will involve hybrid working and occasional traveling to our clients' sites. Responsibilities: Assist in the deployment, configuration, and management of Oracle Cloud resources, including compute, storage, and More ❯

best practices and experience implementing authentication, authorization, and data encryption mechanisms to ensure the security of the application. Basic knowledge in AI, especially LLMs. Software Skills (Optional): Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform, and the ability to deploy, maintain, and secure applications in these environments. Knowledge of containerization and orchestration More ❯

for technology and a commitment to staying current with emerging trends and advancements in the field Experience with e-commerce platforms, payment gateways, and related technologies (desirable) Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and headless architecture (desirable) Bachelor's or Master's degree in Computer Science, Engineering, or a related field (desirable) Benefits More ❯

integral in guiding this transformation and implementing innovative technologies. Cybersecurity: The increasing threat of cyberattacks means a growing demand for IT Consultants who specialize in cybersecurity and data protection. Cloud Computing: The migration to cloud-based solutions offers opportunities for consultants skilled in cloud architecture and management. Artificial Intelligence (AI) and Machine Learning: Businesses will seek … environments. Additional Training or Workshops Beneficial for the Role Continual learning is crucial in the ever-evolving field of IT consulting. Consider additional training or workshops to stay ahead: Cloud Certification: Specialized certifications in cloud platforms like AWS, Azure, or Google Cloud can enhance your expertise in cloud computing. Data Analytics Training: As data becomes increasingly More ❯

Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we're home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization … integration of ML solutions into existing workflows. Develop robust, production-quality software artifacts using Python along with large-scale data workflow orchestration platforms (e.g., Airflow). Leverage expertise in cloud computing platforms (AWS and Azure) to build and optimize AI infrastructure, using services like AWS Bedrock, S3, SageMaker, Azure AI Search, etc. Champion ML governance by ensuring guidelines … to mentor and lead technical teams, influence technical strategy, and drive innovation in fast-paced environments. 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 to interact with technical teams, business partners, and More ❯

AI organisation. Analyse the costs, value, and risks of information technology to advise management and suggest actions. Support multiple groups of users with differing requirements, e.g. Business IT users, Cloud Developers, Data Scientists. Support the sales teams by providing content to RFP and RFI processes. MINIMUM QUALIFICATIONS/SKILLS Education & Experience: 7+ years of progressive experience in IT/… with at least 3 years in a leadership role. Proven experience in managing IT infrastructure for an AI, data science, or technology-driven organisation. Technical Skills: Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and their security implications. Experience with running and managing heterogenous hardware (Apple, Intel), OS (OSX, Linux, Windows) and software environments. In-depth More ❯

PhD in STEM subject desirable) 2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow Proficiency with version control and cloud computing e.g. AWS, Azure Enthusiasm for complex problem solving Strong technical communication skills, including the ability to clearly disseminate new ideas and ML concepts to the rest of More ❯

with various AI solution design patterns and best practices for different business applications. Experience with data visualization tools and techniques to communicate insights and solution designs effectively. Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Basic understanding of programming languages like Python and R is beneficial. Education and Experience: Bachelor's More ❯

Join to apply for the Cloud Field Engineer - Worldwide role at Canonical . Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include leading public cloud … meet two to four times a year in interesting locations worldwide to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Cloud Field Engineer to assist global companies in adopting private cloud infrastructure, Linux, cloud-native operations, and open source applications. Our team applies expert insights to real-world … customer problems, enabling enterprise adoption of Linux Ubuntu, OpenStack, Kubernetes, and related technologies. This role involves diverse responsibilities. Team members act as Linux and cloud solutions architects, designing private and public cloud solutions tailored to workload needs. They work hands-on deploying, testing, and handing over solutions to support or managed services teams. Additionally, they develop software using More ❯

implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model … training to large data and multi-GPU cloud compute. Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Own Research work-streams at different levels, depending on seniority. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Work at … or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: Scientific computing; High-performance computing (CPU/GPU clusters); Parallelised/distributed training for large/foundation models. Ideally >1 years of experience in a data-driven role, with exposure More ❯

Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO).Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization … Gen AI to meet enterprise requirements. Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutions Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows. Use Python and large-scale data workflow orchestration platforms (e.g. Airflow) to build software … Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. • Bachelor’s degree (master’s or higher strongly preferred More ❯

Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization … 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 ❯

and a proactive, solution-oriented attitude are essential. Technical expertise in software applications, programming languages like Python, and SQL for data querying and manipulation is required, with experience in cloud computing concepts (AWS, Azure, Google Cloud Platform) being highly advantageous. We set a high bar for excellence and seek candidates committed to exceeding customer satisfaction targets, continuous More ❯

Reporting to – Platform Manager Working hours – full time is 35 hours a week. You’ll agree your working pattern with your manager. The purpose of your role Using a “Cloud First” approach, our Infrastructure department provides the foundation for all IT services and delivers the core platforms for all services in the organisation. You’ll be using advanced technical … integration and delivery of solutions. Implement and enhance monitoring, logging, and alerting solutions to ensure infrastructure reliability. Azure Infrastructure Management: Assisting in the design, deployment, and management of Azure cloud solutions. Implementing infrastructure as code (IaC) using Bicep and tools such as Terraform. Ensuring security and compliance by design within our Azure environments, in conjunction with our Architecture and … upkeep of the documents once solutions are promoted into production. Collaboration with other Infrastructure, Applications, and Data teams to support business operations. Your experience includes... A strong understanding of cloud computing and DevOps practices. In-depth knowledge of generalised cloud best practices, with a focus on Microsoft Azure and its offerings. Proficiency in scripting and automation (e.g. 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 ❯

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 ❯

some of these, but if not we’ll help you with them: Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you: Work More ❯

data, enabling organizations to leverage AI-powered analytics, automation, and advanced research insights. As a market leader in this space, they have formed deep partnerships with global technology and cloud computing leaders, positioning their platform as the industry standard for modernizing scientific data workflows. Their leadership team prioritizes a culture of accountability, innovation, and excellence. Candidates will be … trust, and long-term success. Requirements : 5+ years of program management experience within a professional services or enterprise software environment, leading complex technical implementations. 5+ years of experience in cloud computing (AWS, GCP, or Azure) or enterprise software. A strong track record of managing multiple concurrent projects, leveraging project management tools to track deliverables and performance. Proven ability … familiarity with Good Laboratory Practices (GLP). Bachelor’s degree in Computer Science, Chemistry, Business, or a related field (or equivalent work experience). Experience managing project deployments in cloud environments, particularly AWS. Strong ability to simplify complex technical information for non-technical stakeholders, driving progress and clarity. Agile project management experience in a customer-facing technical deployment environment. More ❯

of software operations, using Python for next-generation infrastructure-as-code and pioneering model-driven operations, to enable companies to run very efficient bare metal operations for high performance computing, private cloud, data lakes and analytics. We need to invent some new technology, and we need to build some new products, and we are looking to hire a … modern infrastructure, including OpenStack or Kubernetes You have a demonstrated drive for continual learning You have experience of operations as well as software development You have sound knowledge of cloud computing concepts & technologies You have practical knowledge of Linux and networking You have hands-on experience with software automation You are fluent and comfortable in cloud terminology More ❯

onboard datasets an advantage Proficiency working with data in SQL and Python (Pandas, NumPy preferred) Knowledge of statistical testing methodologies Experience with BI tools (Tableau, PowerBI preferred) Experience with cloud computing services & solutions (AWS, Azure, GCP, Amazon Marketing Cloud, Snowflake) Experience working with very large datasets and distributed data processing technologies (Spark, DuckDB etc...) We are only More ❯