3 of 3 Remote Data Pipeline Jobs in Reading

Job Title: Data Analyst - Data Engineering Location: Remote/Reading, UK (Hybrid - Office & Remote) Type: 12 months Fixed-Term Contract (FTC) Our client is a market leader in land and property data solutions across the UK, empowering the property sector with powerful digital tools and data-driven insights. From government bodies and … legal firms to mortgage providers and environmental consultants, their work is transforming how land information is accessed and utilised nationwide. We're now looking for a talented Data Analyst to join their Data Engineering team, contributing to a high-profile national digital transformation programme. If you're passionate about uncovering insights from complex datasets and thrive … to define data needs and deliver insights. Build dashboards and reports using tools like Power BI or Tableau. Support ETL workflows and contribute to data pipeline development. Ensure accuracy and consistency of data throughout transformation. Present findings clearly to both technical and non-technical stakeholders. Play a key role in the HM Land More ❯

security architecture for AI/ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments … testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ML applications, models, algorithms, and data pipelines. * Define and enforce robust access controls … authentication mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. * Stay abreast of emerging AI security threats, trends, and technologies, evaluating their impact and proactively adapting security measures to mitigate potential risks. * Provide technical guidance and support to cross-functional teams during the design, development, and deployment of AI/ More ❯

best practices, emerging threats, and regulatory requirements. Youll work hands-on and collaboratively with cross-functional teams to embed security into the entire AI/ML lifecycle from data pipelines to model deployment. Key Responsibilities Architect and implement security controls for AI/ML systems, data pipelines, and CI/CD processes. Conduct security risk assessments … and threat modelling on AI/ML workflows. Drive secure coding practices and integrate security into MLOps/DevOps pipelines. Address challenges such as adversarial attacks, data poisoning, and prompt injection. Define access control, authentication, and encryption standards across platforms. Work with data scientists and engineers to embed security into model development. Stay current on evolving … Security Architect with direct focus on AI/ML security. Strong knowledge of AI/ML technologies, frameworks (e.g. TensorFlow, PyTorch), and threat landscapes. Background in development or data science is highly advantageous. Expertise in secure development practices and cloud-native architectures. Hands-on experience with threat modelling, adversarial testing, and CI/CD security. Familiarity with tools More ❯