11 of 11 Permanent Master's Degree Jobs in Fife

Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Luxoft is committed to fostering a diverse and inclusive workplace. We show fairness to More ❯

ECG analysis, or related cardiac diagnostics. Strong background in SaMD development and lifecycle management. Successful track record in launching and managing cloud-based platforms in regulated environments. Accredited degree or certification in nursing, cardiovascular technology, or similar (MBA preferred). Excellent strategic thinking, analytical, and problem-solving skills. Strong leadership and communication abilities; experience in cross-functional collaboration. More ❯

launch in a regulated environment. Strong understanding of product lifecycle management, including strategy, development, and post-market phases. Experience with connected or cloud-based technologies is highly desirable. Degree in a relevant technical, clinical, or business discipline (MBA preferred). Excellent strategic thinking, analytical, and communication skills. You’ll be joining a respected global organisation making a genuine More ❯

AI infrastructure, data systems, and cloud computing technologies. Implement resource scheduling and orchestration mechanisms to ensure efficient execution of distributed tasks. Required: Education: Bachelor's or Master's degree in Computer Science or a related technical field. (PhD preferred but not required). Have an in-depth understanding of distributed systems and/or More ❯

the verification team to follow, and improve, defined methodology practices Hands-on project design/verification involvement Required Skills and Qualifications BEng/BSc/MEng/MSc Degree or equivalent in Electronics/Computer Science or other related discipline. Metric driven verification – verification planning, requirements extraction – directed and constrained random verification – functional and code coverage analysis SystemVerilog More ❯

support internal knowledge sharing. Stakeholder Engagement: Communicate research progress, performance insights, and key outcomes to internal stakeholders through clear and engaging presentations. Required: Bachelor's or Master's degree in Computer Science or a related technical field. Be comfortable with research methodology. Have an in-depth understanding of operating systems and/or distributed More ❯

existing API implementations. Work with stakeholders to gather requirements and align API strategy. Monitor API usage and optimize for scalability and efficiency. Requirements Bachelor’s or master’s degree in computer science or related field. Proven experience designing and implementing APIs. Strong knowledge of RESTful and GraphQL API design principles. Experience with microservices architecture More ❯

existing API implementations. Work with stakeholders to gather requirements and align API strategy. Monitor API usage and optimize for scalability and efficiency. Requirements Bachelor’s or master’s degree in computer science or related field. Proven experience designing and implementing APIs. Strong knowledge of RESTful and GraphQL API design principles. Experience with microservices architecture More ❯

existing API implementations. Work with stakeholders to gather requirements and align API strategy. Monitor API usage and optimize for scalability and efficiency. Requirements Bachelor’s or master’s degree in computer science or related field. Proven experience designing and implementing APIs. Strong knowledge of RESTful and GraphQL API design principles. Experience with microservices architecture More ❯

About the Role Are you passionate about building AI systems that can think, learn, and trade autonomously? Predictiva is looking for a Deep Learning Engineer to join our award-winning team developing next-generation AI trading platforms. You’ll work More ❯

architecture, verification, and software teams to define features, develop specifications, and make informed design trade-offs between performance, power, and area. Ideal Qualifications Bachelor’s or Master’s degree in Electrical or Computer Engineering (or related discipline). Proven experience in digital IC design, ideally within AI accelerators, NPUs, GPUs, or high-performance ASICs. More ❯