6 of 6 Contract Azure Jobs in East Anglia

deep learning, NLP, and generative modeling techniques . Experience with training and fine-tuning large-scale models . Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools. ...

access controls and encryption. Ability to translate business needs into scalable data models and efficient processes. Experience with cloud platforms such as AWS/Azure, Snowflake, and BI tooling monitoring. Hands-on experience with BI tools: Business Objects, Qlik Sense, Power BI. Familiarity with infrastructure technologies: AWS Services, Terraform ...

onboarding/KYC, AML/PEP screening integration, consent/campaign preference management, multi-brand hierarchies) Exposure to cloud-native data platforms (AWS/Azure/GCP) and data integration tools (e.g., Kafka, Informatica IICS, Talend, MuleSoft, Boomi) Knowledge of Mastering for B2B/B2C, Location mastering, Reference data ...

MLOps & Deployment Model lifecycle management CI/CD pipelines Containerization (Docker, Kubernetes desirable) Model packaging and REST APIs Cloud & Tools (Any combination) AWS/Azure/GCP analytics and ML services MLflow, Azure ML, SageMaker, Vertex AI Version control (Git) Domain & Soft Skills Strong analytical and problem solving ...

with ETL/ELT tools (e.g., Informatica, Talend, DBT, Airflow, ADF) Proficiency in SQL, data modeling, and performance tuning Hands on with cloud platforms (Azure/AWS/GCP) and data services Understanding of DevOps tools: Git, Jenkins, Docker, Kubernetes (optional) Familiar with messaging and streaming: Kafka, Event … with ETL/ELT tools (e.g., Informatica, Talend, DBT, Airflow, ADF) Proficiency in SQL, data modeling, and performance tuning Hands on with cloud platforms (Azure/AWS/GCP) and data services Understanding of DevOps tools: Git, Jenkins, Docker, Kubernetes (optional) Familiar with messaging and streaming: Kafka, Event ...

Your responsibilities: Deliver cloud security engineering capability focused on securing AI, LLM, and cloud-native workloads, with AWS as the primary environment and Azure as a secondary platform. Implement secure cloud architectures and controls, ensuring AI/LLM workloads comply with organisational security standards and cloud security policies. Work … technology selection and capability uplift. Essential skills/knowledge/experience: Strong background in cloud security engineering, ideally with deep experience on AWS; Azure exposure is highly beneficial. Hands-on experience or working exposure in securing LLM/AI workloads, including model deployment, data flows, and runtime considerations. Proficiency ...