351 to 375 of 911 Cloud Native Jobs in the UK excluding London

solutions using modern AI platforms and large language models.Strong Python development skills, including testing, version control and CI/CD practices.Experience working with cloud platforms and cloud-native deployments.Practical understanding of prompt engineering, retrieval-augmented generation (RAG), agent orchestration and AI evaluation techniques.Experience integrating APIs, data platforms … Microsoft Agent Framework or similar technologies.Experience with data modelling, governance, security and enterprise architecture.Exposure to machine learning, predictive analytics or forecasting solutions.Relevant Microsoft or cloud platform certifications, such as AI-102, AI-103, AB-620 or equivalent. ...

Building API‐driven services enabling data exploitation and analytics Supporting distributed analytics platforms and intelligence applications Integrating software components across complex secure environments Delivering cloud‐native and containerised mission software systems Job Responsibilities Design, develop and maintain secure Java‐based backend services supporting mission‐critical and operational systems. ...

using modern AI platforms and large language models. Strong Python development skills, including testing, version control and CI/CD practices. Experience working with cloud platforms and cloud-native deployments. Practical understanding of prompt engineering, retrieval-augmented generation (RAG), agent orchestration and AI evaluation techniques. Experience integrating … similar technologies. Experience with data modelling, governance, security and enterprise architecture. Exposure to machine learning, predictive analytics or forecasting solutions. Relevant Microsoft or cloud platform certifications, such as AI-102, AI-103, AB-620 or equivalent. ...

technical product, application, or system, while gaining the skills and experience needed to grow within your role. With a payments platform deployed to private cloud using Kubernetes and moving to AWS, you’ll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding … agile methodologies such as CI/CD, Application Resiliency, and SecurityEmerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Proficiency in Object oriented concepts, Design Patterns, Java, Spring, is essentialPreferred qualifications, capabilities, and skillsExposure to cloud technologies ...

performance of FNZ platforms. This role focuses on deploying, integrating, and providing ongoing operational support for mission-critical systems, leveraging modern automation and cloud-native practices.Key Responsibilities· Maintain high availability and performance of FNZ platforms.· Implement monitoring, alerting, and observability solutions to proactively detect and resolve issues.· Collaborate … Operate and optimize workloads onprem and public cloud.· Manage and troubleshoot application delivery networks, load balancing, and traffic routing.· Configure and support F5 Distributed Cloud or similar CDN/ADC technologies.· Participate in on-call rotations, perform root cause analysis, and implement preventive measures.· Work cross-functionally with Application ...

collaboration with Firmwide Data Office and other Divisional Data OfficersCollaborate with SME teams building and scaling data platforms (data lakes, warehouses) across on-prem, cloud, and hybrid environments.Implement semantic layers for consistent, governed data views, enabling self-service analytics and explainable AIOversee data quality processes and enforce standards … minimize data duplication and ensure trusted data.Recommend and implement cloud-native solutions for scalability, resilience, and business continuity.Drive modernization of infrastructure systems through cloud adoption, automation, and software-defined technologies.Governance & ComplianceConduct architecture reviews ensuring alignment with regulatory, security, and enterprise standards.Maintain reference architectures, policies, and best practices ...

other products Experince of Tenable for Asset and Vulnerabiity management is a distinct advantage Threat Modeling: Lead security reviews and map attack surfaces across cloud infrastructure and products. Security Automation: Build policy-as-code and developer tooling to integrate security into CI/CD workflows. Cloud Hardening: Design … secure baselines for Kubernetes and cloud-native resources. Vulnerability Management: Prioritize and remediate software supply chain risks from development to production. Incident Response: Scale detection and response solutions to triage alerts and stop malicious activity. Experience: 5 to 7+ years in cloud security engineering or operations ...

discipline.Agile Scrum certification.Experience working successfully with globally distributed development teams.Strong awareness and practical understanding of AI technologies and modern AI-assisted development tools.Knowledge of cloud-native architectures, microservices, and modern cloud platforms.What Success Looks LikeDelivering high-quality software solutions that meet customer and business requirements.Leading and developing ...

Boot) and designing robust RESTful APIs* A minimum of 3 years hands on expertise in architecting and delivering large scale distributed systems, such as cloud native microservices on Docker/Kubernetes, deployed on modern cloud platforms (AWS, Azure, or equivalent), ensuring scalability, high availability, and performance* Demonstrated ...

systems via APIs and event-driven architectures. Practical experience with LLMs, prompt engineering, RAG and tools/plugins for agents and copilots. Familiarity with cloud platforms (ideally Azure) and AI services (e.g. Azure OpenAI, Azure Machine Learning, or equivalents). Experience working in agile, cross-functional delivery teams. Desired … essential.... Postgraduate study or certifications in AI, machine learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps ...

Kuehne+Nagel, means more than we imagine.‎Are you passionate about building innovative AI solutions that solve real business challenges? We're looking for an AI & Cloud Developer to join our Financial IT Rapid Development team, where you'll play a key role in shaping the future of finance technology through … artificial intelligence, cloud computing and modern software development.Working in a collaborative global environment, you'll design and deliver AI-powered applications, explore emerging technologies, and help integrate intelligent automation into business-critical financial systems. If you enjoy combining technical expertise with innovation and want to make a tangible impact ...

troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems. Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.Use domain modeling techniques to build best-in-class business products, structuring … front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).Demonstrated ability to independently solve design and functionality challenges with minimal supervision.Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.Hands-on experience designing and building ...

strict adherence to WCAG 2.2 accessibility compliance. Modern Architecture: Strong practical knowledge of API-first design principles, interacting with RESTful microservices, and working within cloud-native environments. Quality & Automation: Hands-on experience integrating Front End code into CI/CD pipelines (eg, Jenkins, GitHub Actions) and writing comprehensive … wallets. Legacy Transformation: Experience supporting large-scale digital transformation programmes migrating away from Legacy systems (eg, older Java, AIX, Oracle, or Mainframe environments). Cloud Infrastructure: Familiarity with AWS serverless patterns, infrastructure-as-code principles, and proactive observability monitoring. Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives ...

that you will work on average 2 days per week from an HPE office.Who We Are:Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live … from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility ...

specialism in data-related technologies who can operate across the full data lifecycle and design enterprise-level data architecture for complex programmes. These include cloud migrations, data management, data virtualisation, lakehouse deployments and the creation of modern data pipelines. You'll put client requirements and industry best practice … demonstrable experience in:* Multiple data storage technologies used in data warehouse and data lake solutions, such as:o Relational DBMSo NoSQLo Graph databaseso Cloud object storageo DB as a service* Architecture and design concepts for ETL/ELT solutions, using a range of tooling* Designing and applying data virtualisation ...

specialism in data-related technologies who can operate across the full data lifecycle and design enterprise-level data architecture for complex programmes. These include cloud migrations, data management, data virtualisation, lakehouse deployments and the creation of modern data pipelines. You'll put client requirements and industry best practice … Multiple data storage technologies used in data warehouse and data lake solutions, such as: o Relational DBMS o NoSQL o Graph databases o Cloud object storage o DB as a service * Architecture and design concepts for ETL/ELT solutions, using a range of tooling * Designing and applying data ...

platforms, ML infrastructure, and intelligent applications serving thousands of users.Strong understanding of model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection.Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures.Experience implementing ...

Principal Data Engineer to join a leading social enterprise that reinvests profits to create thriving, sustainable communities. Following a full transition to a 100% cloud-based data platform, the Principal Data Engineer will play a key part in shaping and leading the organisation's data engineering capability, with … strong focus on technical leadership, platform design and mentoring engineers within a Google Cloud environment. Key Responsibilities of the Principal Data Engineer: Provide technical leadership, coaching and mentoring to data engineers Define how data engineering projects are approached, delivered and governed Work closely with architects to design and evolve ...

Deep experience with Spring Boot, Hibernate/JPA and enterprise application architecture Strong understanding of distributed systems, scalability, resilience and performance tuning Experience with cloud-native applications, Docker, Kubernetes and CI/CD Strong knowledge of application security, OWASP principles and secure development practices Knowledge of a modern ...

role, you will guide the development of high-throughput, database-centric applications that process and deliver critical operational data at scale. Working within a cloud-first architecture on Google Cloud Platform (GCP), you will play a key role in designing and delivering modern data solutions using BigQuery … About the Team The Data Engineering team builds and maintains large-scale data systems designed for performance, reliability, and efficiency. Our platform includes: Google Cloud Platform (GCP) architecture BigQuery data warehousing High-throughput distributed applications Batch data processing pipelines Integration with REST and SOAP APIs Windows and web services ...

technical product, application, or system, while gaining the skills and experience needed to grow within your role. With a payments platform deployed to private cloud using Kubernetes and moving to AWS, you’ll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding … agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Proficiency in Object oriented concepts, Design Patterns, Java, Spring, is essential Preferred qualifications, capabilities, and skills Exposure ...

manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands … architectures.Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model ...

manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands … architectures.Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model ...

manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands … architectures.Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model ...

manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands … architectures.Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model ...