7 of 7 Remote/Hybrid Machine Learning Jobs in Edinburgh

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

opportunity for a technically strong architect who can hit the ground running from day one, providing architectural leadership across enterprise data platforms, analytics initiatives, machine learning capabilities and emerging AI solutions. You'll be responsible for defining and governing data architecture standards, designing scalable data solutions, and ensuring … Senior Data Architect capacity Strong expertise in data architecture, data modelling and information management Experience designing modern data platforms supporting analytics, reporting and machine learning workloads Knowledge of data governance, lineage, metadata management and data quality frameworks Experience defining technical standards, patterns and architectural principles Excellent stakeholder management ...

cutting-edge AI technologies, including LLMs and agentic frameworks* Work across a broad range of industries and enterprise-scale projects* Strong focus on learning, innovation, and career progression* Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping … senior business and technical stakeholders* Proven experience delivering AI solutions into production* Strong Python/software engineering background* Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms* Strong understanding of MLOps, CI/CD, observability, and production AI delivery* Experience leading engineering teams and mentoring ...

senior data architecture role Strong knowledge of data architecture principles including data modelling and platform design Experience designing data solutions for analytics, reporting and Machine Learning use cases Experience working within regulated environments (e.g. financial services, insurance, banking) Strong stakeholder management skills with the ability to communicate complex ...

business-related discipline; and ideally an advanced qualification in biomedical/computer science/data science/similar. Good grasp of AI and Machine Learning concepts, including datasets, validation, performance measures, monitoring and risk considerations. Previous track record of product management/Project Management within AI, MedTech oriented ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

product experiences, and measurable business impact at scale. You'll keep today's platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product … ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. Powering production-ready ML: You'll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. Enabling AI-assisted self ...