11 of 11 GCP Jobs in Northern Ireland

reliable and scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

operating Red Hat OpenShift in enterprise environments Solid Kubernetes expertise, including networking, storage, and ingress Experience running OpenShift on cloud platforms (AWS, Azure, or GCP) and on-prem Strong Linux and Red Hat ecosystem experience Experience working within the NHS or UK central government is essential Understanding of public sector ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. Bachelor ...

growth scaleup environment. Expert in Python and frameworks such as PyTorch or TensorFlow. Experience deploying AI models in production, preferably in cloud environments (AWS, GCP, Azure). Entrepreneurial mindset – able to make technical decisions in a fast-moving, ambiguous environment. Excellent communication skills and comfortable collaborating directly with founders. Experience ...

both web and mobile app environments. Key Skills: Node.js, TypeScript, BFF experience essential React.js & React Native Terraform, K8's, Docker Cloud experience (ideally GCP) Key details: Up to £550 per day, Outside IR35 Initial 3 months (extensions likely) Interviews Friday/Monday January 5th start date This is an exciting ...

Alliance partners Strong Client focus and commitment to continuous improvement Strong strategy, research, analytical and negotiation skills Strong knowledge and relationships with hyperscalers (AWS, GCP, Azure) Ability to proactively network and establish effective working relationships Excellent Presentation and communication skills - both written and verbal Attention to detail ...

when to refactor. You prioritize \"boring\" reliability for mission-critical data. Our Tech Direction We currently utilize Node.js, Python, MongoDB, and AWS/GCP, with a Flutter frontend. As a founding member, you will have a decisive vote on our database strategy (e.g., Postgres/pgvector), queue management, and stack ...

DevOps Engineer – FastAPI & Cloud Infrastructure Internship Remote | Duration: 6 Months | Start Date: 26 January 2026 | Commitment: ~20 hours per week | Eligibility: Students enrolled in a credit-bearing placement Application Deadline: Sunday 11 January 2026 Unpaid ...

Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem. You'll be a senior, hands-on engineer owning complex technical problems end to end, with a strong influence over architecture … products. What You'll Be Doing Design, develop, and deploy advanced machine learning and deep learning models into production. Architect scalable LLMOps pipelines on GCP/Vertex AI, including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows ...