2,776 to 2,800 of 6,550 Jobs in England

assessments), and contributing to training materials to achieve curriculum outcomes. Requirements Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure). Hands‐on knowledge of designing and implementing Data Science solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge ...

issues, cost & schedule implications Forward facing, able to engage with peers/Customers Sound understanding of cloud infrastructure environments and technology (e.g. AWS, Azure, Google) Knowledge of the Software Development Lifecycle for applications and services Working knowledge of Gov Standard 007: Security, NIST standards (800-30/ ...

similar experience with other relevant SQL datastores. Operational experience deploying and managing Kubernetes Experience working with Cloud Providers (AWS/GCP/Azure) We value a variety of experiences, so these are not required. It would be an added bonus if you have experience ...

aligns with customer goals and compliance standards. Integrate & Scale: Architect secure, scalable solutions leveraging Zendesk APIs, middleware, telephony systems, and cloud platforms (AWS, Azure, GCP) that enable seamless workflows and automation. Collaborate & Influence: Work cross-functionally to align customer needs with Zendesk’s product roadmap, influence future innovations ...

Python, TypeScript, and Fortran Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux ...

orchestration technologies, specifically Docker and Kubernetes (K8s), including service meshes and ingress controllers. Advanced experience with major cloud providers (AWS, GCP, or Azure), specifically building and operating highly resilient cloud‐native architectures. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, Splunk, Datadog, OpenTelemetry ...

deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Software Engineering: Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js ...

prompt engineering, tool and function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with one of Azure, OpenAI, AWS Bedrock, Claude; Kubernetes and cloud-native deployment. LLMOps & evaluation : CI/CD for AI, automated evals, experiment tracking, observability, model lifecycle management. ...

testsExperience with bandits, reinforcement learning, or other explore-exploit approachesExperience with Databricks and PySparkExperience working with AWS or another cloud platform (GCP/Azure)Additional InformationHealth + Mental WellbeingPMI and cash plan healthcare access with BupaSubsidised counselling and coaching with Self SpaceCycle to Work scheme with options from ...

patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion ...

forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure componentsAdditional Preferred Qualifications: Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic ...

experience supporting enterprise products in a SaaS in a customer-facing role. 3+ years of experience with Public Clouds AWS/GCP/Azure and their services. 3+ years of experience with REST APIs and integration tools. 3+ years of experience with on‐premise or cloud MDM solutions. ...

have Kubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerators. Experience with MLOps, model monitoring, CI/CD, or observability. Familiarity with AWS, Azure, GCP, serverless systems, or managed inference platforms. Experience integrating OpenAI or Anthropic APIs into customer tools. Open‐source contributions or experience supporting developer communities. ...

Experience with customer relationship management, especially C-suite level customer engagement- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.- Experience in data science, machine learning or data mining- Knowledge of distributed applications/enterprise applications- Experience in specific technology ...

senior stakeholders and explain complex analytical concepts clearly.Experience working collaboratively across multi-disciplinary teams.Experience reviewing the technical work of other data scientists.DesirableExperience using Azure Machine Learning Studio or similar cloud-based ML platforms.Experience using Snowflake or similar cloud-based data platforms.Experience leading, supporting, and mentoring junior colleagues.Experience applying ...

Experience building shared or platform-style ML systems Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work ...

manual test management tools and test automation frameworks (Selenium, Appium, Espresso, etc.). Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps). Device operating systems (Android, Linux). Service-oriented architecture (SoA), APIs (REST, IPC). Hands-on experience testing embedded or connected hardware ...

design standards, and architectural governance for complex financial services platforms. Strong technical depth in distributed, event-driven, data-intensive systems, cloud platforms (AWS, Azure, GCP), security, resilience, regulatory compliance, and large-scale production environments. Deep domain knowledge of financial services and emerging technologies, including banking operations, regulatory reporting ...

Solid experience designing OTA update mechanisms, including safe update strategies (e.g. rollback, validation, compatibility) Strong working knowledge and application of messaging technologies (e.g. Azure IoT Hub, MQTT, AMQP). Solid expertise in C#, C++ and .net framework. Familiar with Real-Time Operating System (RTOS) concepts (task scheduling, interrupts ...

design: you understand how to build services that scale, fail gracefully and recover quickly. Experience working with cloud-native infrastructure (AWS, GCP or Azure) and container orchestration (Kubernetes or equivalent). Proven ability to translate complex architectural requirements into clear, deliverable engineering plans. Strong experience in code ...

Product Management and Engineering leaders to translate product requirements into executable architecture. 2. Cloud‐Native & Platform Architecture Expert knowledge of cloud‐native architectures (Azure, AWS, or GCP), including microservices, modular monoliths, and event‐driven patterns. Strong experience with API‐first and contract‐driven design. Understanding of platform engineering ...

practices: continuous integration and deployment, automated testing, observability and cloud‐native development. Experience operating production systems, in a public cloud environment such as Azure or GCP, that need to be reliable, secure and performant. Strong communication skills, able to build trust with both engineers and non‐technical colleagues. ...

depth securing multi-tenant systems on a major cloud. We run on AWS (RDS, EC2, S3, EKS, Batch), and comparable GCP or Azure depth transfers. You know tenant isolation, IAM and least privilege, secrets management, Kubernetes and container security, and the trust boundaries between services Daily ...

depth securing multi-tenant systems on a major cloud. We run on AWS (RDS, EC2, S3, EKS, Batch), and comparable GCP or Azure depth transfers. You know tenant isolation, IAM and least privilege, secrets management, Kubernetes and container security, and the trust boundaries between services Daily ...

practices: continuous integration and deployment, automated testing, observability and cloud‐native development. Experience operating production systems, in a public cloud environment such as Azure or GCP, that need to be reliable, secure, performant and auditable. Excellent communication skills, able to build trust and drive alignment with both engineers ...