8 of 8 GCP Jobs in County Down

engineering community.Preferred Skills:Proven experience designing, building, and maintaining cloud-based platforms and infrastructure, with a strong focus on Google Cloud Platform (GCP).Hands-on experience with GCP services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, and GKE (Google Kubernetes Engine).Proficient in Infrastructure as Code … using tools such as Terraform (including for GCP) or Deployment Manager.Strong background in CI/CD pipeline design and automation using tools like Jenkins, GitLab CI, Cloud Build, or similar.Proficiency in scripting languages (e.g., Python, Bash, Go).Experience with containerisation and orchestration (Docker, Kubernetes, GKE).Solid understanding of networking, security ...

practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems.Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services. Cloud-agnostic experience is preferred.Strong grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance ...

performance issue diagnosis, and implementing solutions.Experience using CI/CD pipelines and tools (Jenkins, Bitbucket Pipelines, GitHub Actions)Working knowledge of cloud platforms (AWS, GCP, Azure) and their core services.Desirable Skills:Experience with message queueing solutions (Kafka, SQS), Serverless technologies (Lambda), and monitoring and logging tools (Dynatrace, ELK stack, Splunk ...

work independently and manage multiple priorities in a challenging environmentDesirable Skills:Experience in a professional services organisationFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management concepts.Experience with data quality tools specifically designed for unstructured data or text ...

SolutionsExecute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AICollaborate with ...

work independently and manage multiple priorities in a challenging environmentDesirable Skills:Experience in the professional servicesFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management conceptsExperience with data quality tools specifically designed for unstructured data or text analyticsRelevant ...

public sector, or similar) is advantageous.Demonstrated ability to work collaboratively within multidisciplinary teams and to 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 … 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 interpretability, fairness, bias mitigation, and ethical considerations.Ability ...

planning and assurance, media supply chains and content operations, or software engineering productivity and developer tooling.Strong understanding of major cloud platforms (AWS, Azure or GCP) and their generative AI services, plus the security, data, compliance and operating-model considerations required for enterprise deployment across complex organisations.Exceptional executive communication skills, with … represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading multi-workstream programmes, including ...