Remote Analytics Jobs in Dundee

3 of 3 Remote Analytics Jobs in Dundee

Software/Firmware Engineer (C++)

Dundee, Scotland, United Kingdom
Hybrid / WFH Options
Net Talent
experience in software development ideally using C++ but will consider other languages (C#, Python, Embedded C etc) Image Processing/Analysis Computer vision Data analytics and computational statistics Knowledge of similar data analysis/visualisation tools will be considered Machine Learning Artificial Intelligence Signal processing/analysis Good methodical problem More ❯
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Software Engineer - Observability (Remote Scotland)

Dundee, Angus, United Kingdom
Hybrid / WFH Options
Ivanti
be authorized to work in the United Kingdom and reside in Scotland. Preferred Qualifications: Mid-Advanced Python Programming experience. Familiarity with AIOps and predictive analytics for monitoring. Basic knowledge of log aggregation pipelines and event-driven architectures. Experience with Azure, AKS, Azure Application Insights (AppInsights) for telemetry and performance monitoring. More ❯
Employment Type: Permanent
Salary: GBP Annual
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Senior Product Manager - SaaS / Data Products

Dundee, Scotland, United Kingdom
Hybrid / WFH Options
FinTech People
its unique platform. Apply now to join a business with collaborative culture that values innovation, integrity and excellence. The Senior Product Manager for Data, Analytics, and AI will shape and drive the strategic direction of data-centric and AI-enabled products, ensuring alignment with business objectives and customer needs. This … role oversees the full product lifecycle - from concept through to delivery- leveraging advanced data, analytics, and AI capabilities to deliver impactful and innovative solutions. Key Responsibilities: Develop and execute a comprehensive product strategy for data, analytics, and AI solutions. Define, maintain, and prioritise product roadmaps informed by market trends, user … opportunities for AI/ML-driven innovation. Ensure product initiatives are closely aligned with organizational priorities and customer challenges. Embed AI, machine learning, and analytics into product features to deliver differentiated solutions. Lead end-to-end product development, from data acquisition and processing to insight generation and visualization. Collaborate with More ❯
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