deliver effective data solutions. Implement and maintain infrastructure on AWS, Azure, or GCP. Monitor and troubleshoot data workflows to ensure availability and minimal downtime. Automate data ingestion, transformation, and validation processes. Stay up to date with emerging technologies and recommend system improvements. The skills you'll need: Strong proficiency in SQL and experience with relational databases. Hands-on experience building More ❯
customer requests, CTI reports, research and collaboration with Bridewell's offensive teams. Innovation - Creation of requirements and implementation of quality of life features for the teams internal tooling (e.g. validation pipelines, schema definitions, helper tools). CI/CD - Collaborating with engineering teams to ensure that detection content is managed in a scalable and repeatable way. Attacker Emulation - Replicating attacker More ❯
to ensure data is structured, accessible, and AI-ready. Address gaps in data quality and implement robust data management processes. Support the rollout of cloud-based environments and automated validation systems. 6. Change Enablement & Training Lead change management efforts to embed AI into daily operations. Promote AI literacy and train staff on practical usage. Deliver training to at least More ❯
feedback on model and other outputs Comparative Analysis: Compare multiple outputs and rank them based on criteria such as correctness, efficiency, readability, and adherence to programming best practices. Data Validation: Validate and correct datasets to ensure high-quality data for model training and evaluation. Collaboration: Work closely with data scientists and engineers to identify new annotation guidelines, resolve ambiguities, and More ❯
feedback on model and other outputs Comparative Analysis: Compare multiple outputs and rank them based on criteria such as correctness, efficiency, readability, and adherence to programming best practices. Data Validation: Validate and correct datasets to ensure high-quality data for model training and evaluation. Collaboration: Work closely with data scientists and engineers to identify new annotation guidelines, resolve ambiguities, and More ❯
correcting errors Developing and managing document control systems and processes Ensuring documents are updated, approved and distributed on time Driving continuous improvement initiatives within documentation processes Overseeing the creation, validation, revision and release of documentation Conducting regular reviews to ensure documents remain accurate, current and compliant What's next? It's easy! Click “APPLY” now! We can't wait to More ❯
EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing governance frameworks. Strong stakeholder engagement skills and the ability to operate within a structured architecture governance model. Role More ❯
EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing governance frameworks. Strong stakeholder engagement skills and the ability to operate within a structured architecture governance model. Role More ❯
troubleshoot faults, and manage software updates. Guide colleagues as the electrical systems Competent Person collaborating across departments to ensure safe, reliable and efficient operations. Develop and deliver user requirements, validation and safety testing for new system installations and upgrades. Champion continuous improvement-challenge processes, push best practice, and strengthen site capability through knowledge sharing and training. The experience you'll More ❯
