4,776 to 4,800 of 9,006 Permanent Digital & IT Jobs

tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, packaged solutions, cloud/on-premise models, agile delivery, digital transformation Tools & Frameworks: IoT, cloud ...

Sales/Solutions Engineer preferably in the SaaS space.* Working knowledge of common cloud providers across tools including: + Infrastructure - AWS, GCP, Azure + Identity Management - Okta, Google Workspace, Entra ID + Version Control - GitHub, BitBucket, GitLab* Experience running trials and POCs and serving as the technical partner ...

internals, advanced SQL tuning). Experience with event‐driven architectures, event sourcing, or data streaming. Familiarity with tools in our ecosystem: Elastic, Kurrent, Azure, Pulumi. Broad exposure to multiple programming frameworks or languages. What you will find here: Compensation is one of the main components of Clio ...

using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with ...

Proficiency in MS Office (Word, Excel, Visio, PowerPoint), with advanced Excel skills for data analysis, and familiarity with agile tooling (e.g., Jira, Confluence, Azure DevOps).Comprehensive knowledge of business analysis principles, including requirements elicitation, process mapping, user story writing, and acceptance criteria definition. Strong track record of leading ...

matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions Experience of proposition building and delivery Azure or AWS Practitioner certified Business development – utilising a combination of the organisation’s broader pre-existing relationships, company relationships and your own network ...

services, or another regulated industry Familiarity with vendor/third-party risk management programs and DDQ response processes Exposure to cloud environments (AWS, Azure, or GCP) and common security tooling (IAM, SIEM, ticketing systems) Scripting ability (Python, or similar) for light automation of GRC workflows Relevant certifications: CISA ...

propensity modelling, next-best-action, attribution, and customer journey analytics — ability to interpret and apply, not necessarily build Knowledge of cloud data platforms (Azure, GCP, AWS) and modern data architecture patterns (medallion architecture, data mesh, real-time streaming) Proven ability to build business cases, develop roadmaps, and communicate ...

threat hunting cycles and translating findings into new detections. Working knowledge of cloud security and native cloud telemetry sources (AWS and/or Azure). Practical use of the MITRE ATT&CK framework to structure detection coverage and gap analysis. Hands-on experience building and operating SOAR playbooks ...

propensity modelling, next-best-action, attribution, and customer journey analytics ability to interpret and apply, not necessarily build Knowledge of cloud data platforms (Azure, GCP, AWS) and modern data architecture patterns (medallion architecture, data mesh, real-time streaming) Proven ability to build business cases, develop roadmaps, and communicate ...

system capabilities Established technical patterns that were adopted across the team Cloud & Infrastructure: Proficiency with at least one major cloud platform (preferably Azure) Experience with containerization (Docker) and orchestration (Kubernetes) Understanding of infrastructure as code and CI/CD pipeline design Knowledge of observability: logging, metrics, tracing ...

planning, and technology assessments for complex, high‐value transactions. Evidence of deep technical and strategic expertise, including enterprise IT architecture, cloud platforms (AWS, Azure, GCP), cybersecurity frameworks, ERP systems (SAP, Oracle), and emerging technologies - combined with the ability to translate technical complexity into actionable commercial insights for clients. ...

around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

using platforms such as MLflow, Vertex AI, or SageMaker* Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores* Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with ...

around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...