26 to 31 of 31 Machine Learning Jobs in Glasgow

architectural patterns Awareness of business requirements and their impact on software Cybersecurity certifications (e.g., CISSP, CEH, OSCP) are a plus Knowledge of AI and machine learning in security is a plus Technical Skills: Strong proficiency in C++, C, and Assembly Experience with secure coding practices and mobile app More ❯

on teaching, research and scholarship in areas of Electrical and Electronics Engineering (e.g. in Microelectronics, Power Engineering, Engineering Design, Digital Design, Embedded Systems, Communications, Machine Learning and Artificial Intelligence, and other relevant fields). We particularly welcome applications from women and other under-represented groups in engineering to … the School/College. Contribute to the ongoing development and design of under/postgraduate curricula, to ensure a research-led approach to student learning and assessment in the discipline and/or profession. Manage a variety of academic administrative activities, including timely delivery of effective and constructive feedback … skills including demonstrable supervisory skills. A strong commitment to high quality, research-led, student-oriented teaching and proven ability to engage students to inspire learning, and to provide pastoral care to students. For appointment at Grade 8/9: Excellent leadership skills, able to develop early career academic colleagues More ❯

process The organisation is committed to staying at the forefront of technology, so there's also potential to get involved in exciting AI and machine learning projects in the future. This role would suit someone with a solid foundation in reporting and analysis who's eager to expand More ❯

agentic AI system for intelligent data discovery, extraction, and decision-making. Oversee the integration of LLMs, knowledge graphs, retrieval-augmented generation (RAG), and reinforcement learning for autonomous task execution. Champion the application of explainable and trustworthy AI principles in all solutions. Hands-on Technical Leadership Serve as a player … the technical stuff out the way first, your past experience as an Engineer will include working with: Proven experience in data science, AI, or ML roles with increasing leadership responsibility (people management experience not required). Deep expertise in building intelligent systems with one or more of the following: LLMs More ❯

less experienced team members. Managing administrative tasks, including budgets and expenditure. Engaging in teaching activities and related admin as assigned. Staying updated on AI, ML, and Digital Twins advancements. Participating in professional development activities. Undertaking additional duties as assigned. Contributing to the university's international profile in line with strategic … Knowledge, Qualifications, Skills and Experience Knowledge & Qualifications A1: Honours degree (SCQF Level 10) or equivalent in a relevant subject. A2: Knowledge of AI/ML programming and Digital Twins development. A3: Up-to-date knowledge of the subject area. For Grade 7: A4: PhD (SCQF Level 12) and at least … years' postdoctoral experience or equivalent qualifications. Desirable: B1: Recent or near-completion PhD in the subject area. Skills & Experience C1: Skills in AI/ML programming, Data Processing, and Digital Twins. C2: Research creativity and collaboration skills. C3: Excellent communication skills. C4: Strong interpersonal and team skills. C5: Workload, time More ❯

Testing, Terraform, Docker, MongoDB, PostgreSQL You will be working for an exciting EdTech startp of which, has an ambition to revolutionise education by harnessing ML powered tutoring. They are looking for someone that has real passion for what they do and doesn't just see it as a job. They … and testing pipelines to support system stability. Research and make decisions about the technological stack and system design, considering all trade-offs. Work on ML model development Analyse large amounts of data and build real-time systems. Scale backend and web frontend development teams. Work in a very cross-functional … team, side by side with mobile developers, product managers, ML engineers, and designers. Skills & Experience required: Build high-load applications from scratch. Deep knowledge of AWS. Architecture planning Estimation skills Clean code practices. Architecture scalability and simplicity. CI/CD automation pipelines. Proficiency with Terraform and Docker. Ability in resolving More ❯