10 of 10 Permanent GCP Jobs in Norwich

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 ...

/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security domains, and data usage for AI/ML. Excellent analytical and problem-solving ...

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 ...

distributed systems experience • Database experience (PostgreSQL, MySQL, MongoDB, etc.) • React experience (commercial or strong hands-on) • Knowledge of Docker/Kubernetes • Exposure to AWS, GCP, or Azure Contract Details: • £400/day – Outside IR35 • 6 months (likely extension) • Remote (UK) • Start ASAP If this sounds like you (or someone ...

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 ...

infrastructure). Deep understanding of data architecture principles for relational, NoSQL, and cloud-based data stores. Strong familiarity with modern data platforms (AWS, Azure, GCP), data modelling tools, and integration patterns. Experience assessing existing architectures and making recommendations for improvements. Knowledge of data governance, data standards, interoperability, compliance, and ethics ...

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 ...

product and is already embedded in live, customer-facing workflows, running on a cloud-native stack with strong use of Google Cloud Platform (GCP). What You'll Be Doing Lead the development and deployment of machine learning models used in a live SaaS product Own models ...

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 ...