6 of 6 Contract AI Jobs in Sheffield

AI DevSecOps Consultant Remote Inside IR35 We're partnering with a leading financial services client to appoint an AI DevSecOps Consultant to drive secure engineering practices across large-scale, cloud-based platforms. A key focus will be practical AI experience within DevSecOps, including embedding security controls into modern AI-assisted … developer workflows. We're particularly interested in candidates who have worked with Claude Code or similar AI coding tools and understand how to securely integrate AI-generated code into enterprise development pipelines. Key Requirements: Proven background in hands-on DevSecOps Engineering, with experience operating in a design/architecture-focused ...

Enterprise routing and switching expertise. Desirable Exposure to Forescout , Aruba ClearPass or other NAC platforms. IAM/Identity & Access Management. CISSP. VMware/OpenShift. AI/MLOps/LLMOps. Ideal Candidate A senior Network Security SME with hands-on experience delivering Cisco ISE-based NAC solutions , ideally including migrations from ...

Title: Senior AI Prompt Engineer (Contract) Location: Sheffield, UK (Hybrid: 2-3 days on-site) Duration: 6 Months (with potential extension) Experience: 5-7 Years Role Overview We are seeking a Senior AI Prompt Engineer to drive enterprise-grade AI solutions across software development and business workflows. This … highly technical role that bridges advanced prompt strategy with hands-on software engineering, focusing on AI-assisted developer productivity and automated system integration. Key Responsibilities Design, optimize, and manage advanced prompts for GitHub Copilot, Microsoft Copilot (M365 & Studio), and Claude/Claude Code. Develop and maintain complex PowerShell scripts ...

will identify, source, structure, and model data within Google Cloud Platform (GCP), primarily using BigQuery, to create high-quality datasets that underpin analytics, AI initiatives, and business de click apply for full job details ...

will identify, source, structure, and model data within Google Cloud Platform (GCP), primarily using BigQuery, to create high-quality datasets that underpin analytics, AI initiatives, and business decision-making. The emphasis is on data discovery, data architecture, and data modelling rather than Spark development, dashboard engineering, or visualisation work. Responsibilities … implement, and maintain robust logical and physical data models within GCP BigQuery. Develop scalable data structures and data integration approaches that can support future AI, machine learning, and advanced analytics capabilities. Ensure data quality, consistency, governance, and integrity across multiple enterprise data sources. Support data mapping, transformation, and optimisation activities ...

internal support teams. Establish KPIs, SLAs, OLAs, XLAs, reporting, and governance models. Support service transitions, operational readiness, and continual service improvement initiatives. Automation & AI Identify opportunities for self-service, virtual agents, workflow automation, AI-assisted support, and ticket reduction. Drive improvements in user experience and operational efficiency through automation. Essential ...