9 of 9 AI Jobs in West Dunbartonshire

products. European number one in cybersecurity, cloud and high-performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos is a SE (Societas Europaea) and listed on Euronext Paris. The purpose of Atos ...

record of implementing effective risk mitigation strategies Demonstrated ability to provide deep technical insights related to software, hardware, infrastructure, and emerging technologies such as artificial intelligence and machine learning Skilled at influencing executive-level strategic decision-making and translating complex technology insights into actionable business strategies for senior leadership Strong ...

post-release validation Develop secure, high-quality production code and contribute to technical troubleshooting, reviews, and continuous improvement Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting … reuse of effective patterns Apply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized through automation Required qualifications, capabilities, and skills Bachelor's degree or equivalent practical experience Hands-on experience delivering system design, application development, testing, and operational stability ...

review work of other engineers to promote best practices Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced … Required qualifications, capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/ ...

recognised certifications (exam voucher and exam resit support included): Microsoft Power BI Data Analyst (PL-300) Microsoft Azure Data Fundamentals (DP-900) Microsoft Azure AI Fundamentals (AI-901) Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBI Dedicated ...

industry-standard practices Advise cross-functional teams on technological matters within your domain Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation Enhance automation at scale to improve value and efficiency Lead architectural decisions and engineering practices across multiple teams Collaborate with stakeholders … enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks ...

problems of moderate complexity Strongly consider upstream/downstream data and systems or technical implications and advise on mitigation actions Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating … outputs through peer review, automated testing, and secure coding standards Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Manage stakeholder relationships and the team's work in accordance with compliance standards ...

deep technical expertise within one or more technical domains, sharing knowledge and providing guidance to peers across the team Drive reuse-first adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational … readiness), ensuring traceability, auditability, resiliency, and security controls Use enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements Required qualifications, capabilities, and skills Formal training or certification on site ...

design and development skills Hands-on Google Cloud Platform (GCP) experience, building and operating cloud-native workloads Expertise in cloud architecture, distributed systems, security, AI/ML or platform engineering Advanced programming expertise in Go and/or Python Kubernetes platform engineering experience, including CRDs and API extensions. Strong knowledge … experience with CI/CD, automation, infrastructure as code and deployment pipelines. Strong understanding of SDLC, Agile delivery, resiliency and security Practical use of AI-assisted development tools such as GitHub Copilot or Claude Code. Excellent stakeholder management, communication, and technical leadership skills. The above is not exhaustive. ...