51 to 75 of 1,311 Cloud Computing Jobs in London

responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and More ❯

responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and More ❯

understanding and hands-on experience with a variety of data science tools and concepts, such as machine learning, causal inference, optimisation, natural language processing and computer vision Experience with cloud computing platforms (Azure, AWS, GCP) and containerization (Docker) Knowledge of data engineering principles such as data modelling, ETL processes, and data pipelines Have strong organisational/prioritisation skills More ❯

of the fastest-growing organizations within Amazon Web Services (AWS), and help customers of all industries and sizes gain the best value and service from AWS? AWS Enterprise Support, Cloud Operations Architect drive our customers’ creative and transformative spirit of innovation across all technologies - including Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. … AWS * Provide detailed reviews of service events, monthly & quarterly metrics, detailed pre-launch planning * Solve a variety of problems across different customers as they migrate their workloads to the cloud A day in the life AWS Marketing leads the charge in cloud innovation, inspiring and empowering customers and partners to unlock their cloud potential. We shape AWS … that foster AWS adoption across diverse industries, continuously adapting our strategy to stay ahead in our digital-first world. Join our forward-thinking team to shape the future of cloud computing, contributing to strategic initiatives that respond to evolving technology, industry, and customer requirements. You'll collaborate globally to translate complex technology into clear, valuable solutions, creating impactful More ❯

Services Consultant - Early Career Program Job ID: 2802852 | AWS EMEA SARL (UK Branch) Role starts in March or September 2025 Do you want to experiment with innovative technologies, including Cloud Computing, Machine Learning, and Internet of Things? Are you passionate about educating, training, designing, and building enterprise cloud computing solutions for a diverse and challenging set … experts, and receive coaching and on-the-job training to help you succeed in your new role. Residents will also prepare to take the certification exams for AWS Certified Cloud Practitioner and AWS Certified Solutions Architect – Associate. During the program’s On-the-Job training phase, you will prepare for additional certifications that align to your role. Are you … future with us. Associate Professional Services Consultant: As an Associate Professional Services Consultant, you will partner with customers and several AWS teams to craft highly scalable, flexible and resilient cloud architectures that address customer business problems. As a trusted customer advocate, you will help organizations understand best practices around cloud-based solutions, and how to migrate existing workloads More ❯

updated on AI governance policies and compliance frameworks related to professional services and enterprise AI applications. Research, Innovation & AI Strategy Stay at the forefront of AI advancements, frameworks, and cloud technologies . Lead AI-driven strategic initiatives , exploring innovative approaches for automation, personalization, and efficiency enhancement . Stakeholder Collaboration & Communication Work closely with executive teams, data scientists, business strategists … business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven … approach to AI implementation. Effective communication and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

updated on AI governance policies and compliance frameworks related to professional services and enterprise AI applications. Research, Innovation & AI Strategy Stay at the forefront of AI advancements, frameworks, and cloud technologies . Lead AI-driven strategic initiatives , exploring innovative approaches for automation, personalization, and efficiency enhancement . Stakeholder Collaboration & Communication Work closely with executive teams, data scientists, business strategists … business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven … approach to AI implementation. Effective communication and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

updated on AI governance policies and compliance frameworks related to professional services and enterprise AI applications. Research, Innovation & AI Strategy Stay at the forefront of AI advancements, frameworks, and cloud technologies . Lead AI-driven strategic initiatives , exploring innovative approaches for automation, personalization, and efficiency enhancement . Stakeholder Collaboration & Communication Work closely with executive teams, data scientists, business strategists … business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven … approach to AI implementation. Effective communication and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

exclusive features. About This Role Writer is seeking a founding Embedded DevOps engineer to join our dynamic team. This role involves leading the design, implementation, and maintenance of our cloud infrastructure, ensuring high availability, performance, and security. You will collaborate closely with development teams to optimize cloud resources and enhance system reliability, while also contributing to the development … and maintenance of our cloud automation and monitoring systems. Your Responsibilities Design and implement cloud infrastructure to ensure high availability and performance. Design and implement scalable cloud automation to support seamless deployment for enterprise customers. Automate infrastructure provisioning and management using Terraform and Python. Collaborate with development teams to optimize cloud resources and enhance system reliability. … effectively with cross-functional teams and stakeholders. Proactively identify and mitigate potential system failures and performance bottlenecks. Is this you? Proven expertise: 8+ years in software and DevOps engineering. Cloud platform experience: 3+ years working with cloud software development and maintenance. Infrastructure as Code (IaC): Proficiency with IaC tools and DevOps practices. Security and compliance: Knowledge of data More ❯

level of customer experience with each qualified engagement Analyze and present periodic reviews of operational performance to customer leadership Establish and maintain parity with Red Hat’s open hybrid cloud strategy Delivering trainings and presentations to customers staff Travel, as necessary, to visit customers or internal events What you will bring Expertise with enterprise cloud solutions like Platform … as-a-Service (OpenShift), containers, Kubernetes, and IT automation Experience with Cloud computing infrastructure solutions (such as OpenShift and OpenStack) and their concepts Strong understanding of Linux and related technologies such as, but not limited to, networking and storage Prior experience in a support, development, engineering, or quality assurance organization Ability to handle multiple issues and projects, while … as, RHCE and RHCA Previous hands-on experience with Red Hat technologies, such as Enterprise Linux (RHEL), Satellite, OpenShift Container Platform, OpenStack Platform, Ansible Automation Platform, etc. Experience with cloud computing and cloud providers, such as Microsoft Azure, Amazon Web Services (AWS), Google Compute Platform (GCP) or IBM Cloud Comprehension of continuous integration (CI) and continuous 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 … traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of More ❯

a dedicated and experienced Senior DevOps Engineer to join our team. In this role, you will play a key part in crafting, implementing, and maintaining scalable, secure, and reliable cloud infrastructure across Azure and AWS. You will apply your expertise in Python and GitLab to drive automation, streamline workflows, and enhance deployment processes. This is a great opportunity to … work with innovative technologies, collaborate across teams, and make a significant impact on our cloud operations. What You'll Do: - Design, build, and lead cloud infrastructure on Azure and AWS. - Develop and maintain CI/CD pipelines using GitLab to enable flawless automation. - Write and optimize **Python scripts** for automation, orchestration, and infrastructure management. - Deploy and run containerized … support legacy systems when required. - Stay up to date with the latest DevOps trends, tools, and standard processes to drive innovation. What You'll Bring: - Proven experience in **DevOps, Cloud Engineering, or Site Reliability Engineering (SRE)**. - Deep expertise in Azure and AWS cloud services. - Strong proficiency in Python for scripting and automation. - Hands-on experience with GitLab More ❯

testing framework aligned with risk management standards (e.g., NIST, ISO 27001, COBIT, ITIL). Develop and update testing methodologies, ensuring they address key risks related to IT infrastructure, cybersecurity, cloud services, and software development. Establish and maintain control testing policies and procedures that align with regulatory and internal governance requirements. Ensure the control testing framework integrates seamlessly with the … mapping controls to risks and business objectives. Plan and execute detailed control testing activities across IT operations, systems, and processes, including: Cybersecurity controls (e.g., firewalls, encryption, access management). Cloud computing controls (e.g., AWS, Azure, Google Cloud). Data protection controls (e.g., GDPR compliance, data backups). Incident management processes and disaster recovery testing. Test both the … experience in technology risk management, IT audit, or control testing within a regulated FinTech or financial services environment. Strong background in assessing IT and cybersecurity controls, including experience with cloud environments, DevSecOps practices, and digital payment platforms. Proven ability to perform tests of controls (design and operating effectiveness). Strong understanding of operational processes, risk frameworks, and regulatory requirements. More ❯

Production applications and support. Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows. Use Python/Java and large-scale data workflow orchestration platforms ;Airflow …/or finetuning LLM’s. Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in More ❯

machine learning, and highly automated trading applications. Our Technology department, comprising around 300 employees, works largely in an agile manner using a Scrumban approach. It covers areas such as Cloud Computing, Cybersecurity, Operations, Process and Governance, Software Development, and Architecture. We develop most of our applications in-house, providing us with flexibility and innovative strength. Our tech stack … includes Java, Kotlin, TypeScript, Python, CI/CD pipelines, containers, Kubernetes, Azure Cloud, Azure SQL Database, and Oracle Database with PL/SQL. Your Role in the team: This role focuses on Kubernetes (K8s), requiring a DevOps mindset and experience. You will be involved in designing, setting up, and managing our K8s clusters across various data centers. We are … building a value-added on-premises, bare-metal K8s platform (with potential cloud expansion) to support workloads ranging from latency-sensitive algo trading to big data analytics, middle and back-office applications, and client and exchange gateways. What will you do? Collaborate closely with data center infrastructure and network engineers, overlapping with monitoring and observability domains. Work within a More ❯

customer first mindset. Ensure the team is equipped with the necessary skills and knowledge to meet the market and company’s needs. Skills Strong knowledge of enterprise architecture frameworks, cloud platforms, and emerging technologies Working knowledge of designing solutions that include Networks (Voice and Data), Hyperscaler environments (Azure, AWS , GCP), Micro services, Business applications, Resilience, DR, Business Continuity, Security … and how all these elements need to be considered when designing an e2e solution Understand what is involved for OnPrem/Private Cloud workload migration to Cloud environments or Hybrid cloud environments Experience of working with Large Enterprise customers Proficiency in AI/ML, Cybersecurity frameworks, CX platforms, and Microsoft Cloud (Azure, M365, D365) Excellent communication … presentation, and interpersonal skills Ability to build relationships with C-level executives, technical teams, and business stakeholders Commercial appreciation of being able to articulate the commercial benefits of using cloud based applications to customers Strong problem-solving skills and a proactive approach to challenges Experience with cloud computing, Data Centre and virtualization technologies Experience in Enterprise Architecture More ❯

systems A consistent track record of successfully delivering complex, infrastructure-focused technology solutions on time and within budget fast-paced environment What makes you stand out: Extensive experience with cloud computing platforms (AWS, Azure, or Google Cloud) and containerization technologies such as Docker and Kubernetes Solid understanding of DevOps and SRE practices, with hands-on experience in More ❯

and a design thinking approach to ensure that new developments and systems are fit for purpose. Your ability to solve problems - drawing on your knowledge of technologies such as cloud computing, data analytics, business intelligence, machine learning/AI and cybersecurity - will enable you to propose innovative solutions to the business and support ongoing digital transformation and continuous … traditional and green refineries. Main responsibilities : Collaborate with other D&IT teams and external partners to design new solutions and transform the existing portfolio of live applications into a cloud-native architecture. Analyse business needs and translate them into data-oriented and microservices-based solutions. Work closely with development teams to analyse, prototype, and efficiently deliver cloud-native … all organizational levels. Flexible team player who understands the importance of responding constructively to change. Strong analytical and problem-solving skills, with a keen eye for accuracy. Experience with cloud transformation initiatives. Solid knowledge of microservices, cloud architecture and data-driven design. Experience in the energy sector, particularly in trading and market analysis, is an advantage. Familiarity with More ❯

and tailoring SAM solutions to meet their specific needs. Conducting comprehensive software asset inventories, license entitlement reviews, and compliance assessments across various software vendors and deployment models (on-premises, cloud, SaaS). Designing and implementing robust SAM processes, policies, and procedures aligned with industry best practices (e.g., ISO 19770). Providing advice and guidance on complex software licensing agreements … methodologies, and tools within the SAM practice. Participating in business development activities, including proposal development and client presentations. Staying abreast of the latest trends and developments in software licensing, cloud computing, automation, and data governance. Requirements: A degree in a relevant field (e.g., Information Technology, Business Administration, Computer Science). Significant experience (typically 5+ years) in Software Asset … Demonstrable experience in managing and delivering client-facing projects. In-depth knowledge of software licensing models and agreements from major vendors such as Microsoft, Oracle, IBM, SAP, Adobe, and cloud providers (e.g., AWS, Azure, Google Cloud). Strong understanding of ITAM principles, processes, and technologies. Proven ability to analyse complex data, identify key insights, and develop actionable recommendations. 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 ❯

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 … 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 ❯

Strong analytical and problem-solving skills, with the ability to think strategically and creatively to solve complex business challenges. Proficiency in a wide range of technologies and platforms, including cloud computing, software development frameworks, data, AI/ML and Martech. Excellent understanding of software development methodologies, DevOps practices, and CI/CD pipelines. Excellent client-facing skills, with … Architect, or Microsoft Certified: Azure Solutions Architect Expert Understanding of solutions used to enable digital experiences such as CMS, DAM, MAM and video players. Understanding AI/ML solutions, cloud services and applications in a Fan/Customer engagement environment. Understanding of data architecture principles, database technologies (SQL, NoSQL), customer data platforms (CDPs), data modeling, ETL processes, and data More ❯

documentation skills Knowledge and awareness on NIST 800-53 controls, NIST Cyber Security Framework, SANS and Center for Internet Security (CIS) is a plus Knowledge of technology controls around Cloud Computing reviews - AWS, Azure and Google cloud is a plus Knowledge of systems and databases such as Windows, UNIX, MS SQL and Oracle is an advantage Knowledge More ❯

client needs, particularly the Chief Digital Officer, Director of Data Science, Head of Product Management, and the Engineering VP. Contribute software code regularly and ready for peer-review to cloud-based software development and version control repository, such as Github. Develop scalable and efficient SQL queries and transform data from multiple sources to obtain a unique insight for Business … context of analyzing large, real-world datasets and model building with models such as gradient boosted tree algorithms, Deep Learning in particular transformer architectures. Strong experience in working in cloud computing environments such as AWS (preferred), Google Cloud or Microsoft Azure. Strong experience in developing software in Python and demonstrated ability to create machine learning models 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 ❯