1 to 25 of 88 Computer Science Jobs in Glasgow

strategy, working across multiple departments to design and implement a robust data ecosystem that supports our business intelligence, analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes, and cloud-based … technology planning efforts, code reviews. Develop and maintain architecture documentation, standards, and technical specifications. What We Are Looking For: Bachelor’s degree in computer science, computer information systems, or a related field is a plus. A Master’s degree in a related field is preferred. 5+ years ...

policies and procedures; Provide technical support and training to end-users on BI tools and data analysis techniques Requirements: Master’s degree in Data Science, Computer Science, Statistics, or a related field, or equivalent practical experience; Proven experience in business intelligence, data analytics, and data warehousing;*Strong ...

regulatory and data-privacy considerations are baked into system design and implementation. Required qualifications, capabilities, and skills Post Graduate qualification (Masters or PhD) Data Science, Computer Science, Mathematics. Building and shipping data-driven/AI-enabled production systems, with significant hands-on model development across statistical, classical ...

concepts for non-technical audiences Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience) Preferred qualifications, capabilities, and skills Industry-recognised cloud/ ...

. Value & Impact Orchestration: Ability to translate complex data engineering initiatives into measurable business outcomes, ROI, and core performance metrics. Academic Background: Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field preferred. Job responsibilities Delivery & Technical Oversight End-to-End Data Programme Delivery ...

translating technical concepts for non‐technical audiences Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines MSc in Computer Science, Data Science, Engineering, or a related quantitative field Preferred qualifications, capabilities, and skills Postgraduate‐level qualification in data science, artificial ...

translating technical concepts for non-technical audiences Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines MSc in Computer Science, Data Science, Engineering, or a related quantitative field Preferred qualifications, capabilities, and skills Postgraduate-level qualification in data science, artificial ...

translating technical concepts for non-technical audiencesExperience applying new methods to determine solutions for complex technology problems across multiple technical disciplinesMaster's degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience)Preferred qualifications, capabilities, and skillsIndustry-recognised cloud/GenAI ...

work effectively in ambiguous environments with multiple stakeholders. Required Qualifications, Capabilities, and Skills Undergrad or Master’s degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction ...

ability to work effectively in ambiguous environments with multiple stakeholders. Required Qualifications, Capabilities, and SkillsUndergrad or Master's degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification ...

Purpose Based within the University of Glasgow's Centre for Data Science and Artificial Intelligence (AI), and working closely with Research Computing as a Service (RCaaS) teams, make a leading contribution to the creation and delivery of world changing research by applying digital and scientific expertise to provide data … applied to research questions and challenges. . The postholder will work with the researchers and the experts at the Centre for Data Science and AI and RCaaS in order to support the research projects that contribute data driven solution to the grand challenges that are aligned with the visions ...

approach remains aligned with data protection requirements, emerging legislation and Scottish Government guidance. About You You will have a degree or equivalent experience in Computer Science, Data Science, Artificial Intelligence, Machine Learning or a related discipline as well as an in‐depth understanding of AI concepts ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer … projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance, and system ...

Experience in banking or financial services industry. Soft Skills Strong problem-solving abilities. Clear communication skills. Ability to lead projects independently. Qualifications Degree in Computer Science, Software Engineering, or a related discipline (or equivalent experience). Relevant industry certifications are desirable. By joining us you can expect Autonomy ...

sharing, and pair programming. Communicate technical decisions clearly to both technical and non-technical stakeholders. Qualifications and Requirements Education & Experience Bachelor's degree in Computer Science, Software Engineering, or a related field. 5+ years of professional experience in backend or fullstack software development. Proven experience delivering production-grade ...

extract information. At least 8 years' relevant experience would generally be expected to find the skills required for this role. Minimum Bachelors in Computer Science/Maths/Engineering/Science disciplines or equivalent experience. Interest in learning the business supported by the applications. Skills that will ...

Working with SQL, Python, or R to manipulate and analyse data (training and development provided) What We Are Looking For A degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related numerate discipline. You will be analytical, detail-oriented, and comfortable working with large ...

ability to set operational standards across a team Formal SRE experience in a regulated or high-availability environment Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience) Preferred qualifications, capabilities, and skills Experience operating ML/LLM workloads in production (MLOps ...

. Experience with Docker or Kubernetes . Familiarity with CI/CD pipelines . Understanding of software development best practices. Qualifications Degree in Computer Science, Software Engineering, or a related subject. Minimum 2 years industry experience . #J-18808-Ljbffr ...

communication skills and the ability to set operational standards across a teamFormal SRE experience in a regulated or high-availability environmentMaster's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience)Preferred qualifications, capabilities, and skillsExperience operating ML/LLM workloads in production ...

ability to set standards other engineers adoptIndustry-recognised container/Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar)Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience)Preferred qualifications, capabilities, and skillsSite Reliability Engineering (SRE) experience and familiarity with ...

standards other engineers adopt Industry-recognised container/Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar) Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience) Preferred qualifications, capabilities, and skills Site Reliability Engineering (SRE) experience and familiarity with reliability ...

macros to better analyse data trends turn granular asks into high level themes for stakeholder presentations and high-level vision boards Undergraduate degree in Computer Science or equivalent field Must be confident in leading discussions and requirements discovery workshops with various stakeholders within the business and It organization ...

using Talend, Kafka, and/or Informatica). Expertise in performance optimization, scalability, troubleshooting, analytical problem-solving, and software design. Bachelor’s degree in Computer Science, Engineering, a related field or equivalent experience. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate ...

looking for an exceptional Senior Manager to bring operational excellence to our Applied Scienceteam at Kodamai. You will work together with our science and product leadership to set technical andscientific roadmap for a team of applied scientists and research engineers and then have ownership forexecuting against that roadmap with … research engineers—setting clear goals, running regular 1:1s, giving feedback, and owning performance and career development. Own team planning and delivery, translating the science leadership's priorities into structured roadmaps, milestones, and clear ownership. Drive projects from prototype through to production, coordinating people, timelines, and cross- team dependencies ...