926 to 950 of 4,342 AWS Jobs in the UK

with vector databases Experience with MLOps, CI/CD and containerisation Strong SQL skills and experience working with large datasets Cloud experience across Azure, AWS or GCP Excellent communication skills with the ability to engage both technical and non-technical stakeholders ...

based platforms and infrastructure.Technical Proficiency: Exhibiting a good grasp of cloud platform engineering principles and demonstrating expertise in areas such as cloud service providers AWS, Azure, GCP, containerization technologies like Docker and Kubernetes, and infrastructure as code IaC.Independent Work and Initiative: Expected to work independently on specific tasks, showcasing initiative ...

Experience working with data manipulation and large datasets. Proven experience developing and maintaining production-level codebases . Experience with any public cloud provider (GCP, AWS, or Azure). Optimise Python performance through effective use of loops , vectorization , threading , and understanding of the Global Interpreter Lock (GIL) . Desirable Experience Experience ...

distributed systems patterns. * Proficiency with message brokers (e.g., Kafka, RabbitMQ) and event-driven architectures. * Experience with CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and advanced DevOps practices. * Proven ability to lead technical initiatives, define architectural patterns, and mentor backend development teams. * Strong understanding of backend security best ...

working with government accreditors or security assurance bodies. Understanding of defence, national security, or safety‐critical environments. Familiarity with technologies such as: Azure and AWS Docker and Kubernetes Apache Kafka and NiFi Node.js and TypeScript MongoDB AI and Machine Learning technologies Security Requirements Due to the nature of the work ...

Your new company You will be working for a known organisation who are looking for an Informatica Engineer who is actively SC Cleared. This role won't be able to accept anyone who doesn't ...

that transform complex operational data into trusted business insights. Working as part of a multi-disciplinary Agile team, you will help evolve a sophisticated AWS-hosted platform that ingests data from WiFi, IoT sensors and other property technology systems. This is an exciting opportunity for someone who enjoys combining data ...

following technologies and tools would be advantageous: Testing & Automation JUnit Playwright Selenium Cucumber Performance Testing Gatling Security Testing OWASP ZAP Cloud & Containerisation Docker Kubernetes AWS Accessibility Testing WCAG Standards WAVE ...

development follows established processes and works as intended Required experience Experience of working in an Agile/SCRUM/DevOps delivery model Cloud technologies (AWS or Azure) Infrastructure as code e.g. Terraform, Puppet, Chef, Ansible etc. Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines ...

using Git or other version control systems. Understanding of cloud infrastructure, databases and their impact on system performance. Familiarity with cloud platforms such as AWS, Microsoft Azure or Google Cloud. Knowledge of network management protocols such as SNMP, NETCONF and YANG. ...

PingFederate/PingAccess), CISSP, CISM, or vendor‐specific PAM certification. Experience with cloud identity providers (Azure AD/Entra ID) and securing workloads in AWS, Azure, or GCP. Experience deploying IAM solutions in Docker/Kubernetes environments. Excellent written and oral communication skills in English. Core Competencies Builder mindset: hands ...

Experience of application modernisation and public cloud migration Experience of working with legacy technologies and adapting them to fit within an ecosystem based on AWS, Azure, Kubernetes, HELM, Java, JavaScript, Oracle, MySQL would be advantageous. Working with agile development teams and delivery architects through all phases of the solution lifecycle. ...

understand needs, communicate solutions, and support delivery in real-worldenvironments Experience working with APIs, data pipelines, or distributed systems Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) Exposure to AI/ML concepts, including LLMs and prompt engineering Demonstrate advanced user capability on CodeX, Claude, etc. and other ...

technical communities and quality forums Key Skills Strong experience designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ ...

Proficiency in back-end development using Java frameworks (e.g., Spring Boot) for building RESTful APIs and microservices Hands-on experience with cloud platforms (e.g., AWS) including container orchestration, serverless computing, and infrastructure-as-code Experience with database technologies including relational and NoSQL solutions, caching strategies, and asynchronous messaging patterns Strong ...

delivery outcomes. Deep understanding of distributed systems and architectural trade-offs. Significant professional use of AI agents Experience working in a cloud environment (AWS, GCP, Azure) Strong command of written and spoken English. Desirable: Proven experience of batch technologies: Spark. Exposure to Infrastructure as code (Terraform, Pulumi) Professional experience using ...

scaling teams Proven track record of establishing or significantly growing an engineering site or office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large‐scale AI/ML systems, including: GPU infrastructure and orchestration ML training and inference pipelines ...

Kafka, Apache Storm, CouchbaseDB/NoSQL, Spring).* **Familiarity with modern infrastructure paradigms**, such as containerization (OpenShift/Kubernetes) and cloud platforms (GCP/AWS) is highly advantageous.* **Understanding of AI, machine learning, or advanced quantitative analytics** applications in financial systems is a strong plus.* **Outstanding communication and collaboration skills ...

Kafka, Apache Storm, CouchbaseDB/NoSQL, Spring). Familiarity with modern infrastructure paradigms , such as containerization (OpenShift/Kubernetes) and cloud platforms (GCP/AWS) is highly advantageous. Understanding of AI, machine learning, or advanced quantitative analytics applications in financial systems is a strong plus. Outstanding communication and collaboration skills ...

scale. Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks). Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines. Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems. Track record ...

Advanced Python and C/C++, with experience of infrastructure-as-code and at least one major cloud provider (AWS, GCP, or Azure) Nice to have: Experience with hardware-in-the-loop or software-in-the-loop test environments Exposure to MLOps, including model drift validation, dataset governance, and automated ...

cloud-native applications.* A solid understanding of software architecture, system design, scalability, resilience and security principles.* Experience working with cloud technologies such as AWS and/or Azure.* Well-developed SQL and data analysis skills, including troubleshooting, optimisation and production support.* Experience operating within modern DevOps environments, including CI/ ...

skills CI/CD — GitLab Pipeline/Jenkins/Harness (highly relevant given your Harness Engineering direction). Infrastructure as Code — Terraform. Cloud platform — AWS (ECS/EKS, Lambda, S3, IAM, networking); container orchestration with Docker + Kubernetes. Observability & monitoring — OpenTelemetry, CloudWatch, logging/tracing for AI workloads. Scripting/ ...

high-volume data processing patterns. Strong system design skills, with the ability to make pragmatic technical trade-offs. Experience with cloud platforms, preferably AWS, and infrastructure as code tooling such as Terraform. Strong knowledge of testing strategies, CI/CD, and engineering quality practices. Strong debugging, problem-solving, and analytical ...

model drift, dataset governance, and automated performance evaluation. Expertise in managing complex build environments (e.g., CMake, Bazel) or cloud-native infrastructure-as-code (Terraform, AWS/GCP). Direct experience navigating FDA Q-Sub or MHRA pre-submission processes. Experience with hardware-in-the-loop or software-in-the-loop ...