Top Machine Learning Jobs in Edinburgh

Define the strategic vision for the Video-Based Safety platform, integrating AI and Computer Vision to enhance safety and efficiency in physical operations. Lead cross-functional teams and mentor product managers while driving innovation in a rapidly growing company.

As Senior Product Manager for Video-based Safety, you will define, own, and execute the product strategy involving AI/ML models to enhance safety outcomes, collaborating with engineering and design teams.

Work with Product, Engineering, and Design to define metrics, run experiments, perform product analyses, build causal frameworks, and translate insights into data-driven product improvements and reports.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

Assess run and change controls across applications, infrastructure, cloud, cyber and data. Design and test key controls, deliver audit outcomes using data and AI, perform analytics, build stakeholder relationships, and recommend compliance and process improvements.

Lead a team of economists and data analysts to provide economic analysis, develop policies, and evaluate their impacts. Collaborate across various sectors and communicate findings effectively to stakeholders.

Audit, update, and create engaging e-learning content and videos for Optibus products; maintain the LMS, partner with Product and Support, localize content, and track KPIs to boost adoption and effectiveness.

As a Customer Experience Specialist, you'll deliver outstanding customer interaction through multiple channels, assist in debt resolution, negotiate repayment plans, and ensure compliance with laws and regulations.

The Senior Product Manager will own and drive the development of Kraken's Algorithmic Execution & Strategy Engine, focusing on execution algorithms, API specifications, and client engagement to optimize trading strategies.

The FIU Compliance Associate will lead transaction monitoring optimization, implement automation, and enhance monitoring strategies for compliance with regulatory requirements, working with cross-functional teams and emerging technologies.

Lead the technical vision for AI at M&S, solve business challenges with AI solutions, and drive continuous improvement across operations.

The Senior Solutions Architect will design and architect digital solutions, manage technical governance, and collaborate with sales and clients to address business challenges.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

As an MLOps Engineer, you will develop and implement ML features for pricing strategies, maintain MLOps practices, and ensure the performance and reliability of ML systems.

As an MLOps Engineer, you'll build and implement features enhancing data-driven pricing for hotels, ensuring reliability and scalability of ML systems, streamline data pipelines, and collaborate with teams for impactful revenue growth.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

Lead the curriculum product strategy and a team of Product Managers, retain hands-on ownership of high-impact products, collaborate with cross-functional teams, and drive AI/data-driven product development and adoption through the full product lifecycle.

The Principal Solutions Architect leads technical solution design, partners with hyperscalers, ensures architectural integrity, and drives customer engagement through compelling narratives and demos.

As a Principal Engineer at M&S, you'll drive technical strategy, influence architecture, and mentor engineers while delivering on personalization, search, and machine learning features in collaboration with cross-functional teams.

The Senior AI Engineer will develop intelligent conversational systems, lead ML/NLP product design, and mentor engineers to enhance recruiting efficiencies.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Lead developer-facing work on advanced real-time rendering and neural graphics: optimize GPU/CPU performance, develop and tune neural rendering and AI models, collaborate with AAA studios and NVIDIA architecture/driver teams, build demos, publish and present research.

The Principal Data Scientist will lead the development of AI-native systems and work cross-functionally to enhance consulting solutions in the energy and natural resources sector, focusing on advanced modelling and client engagement.

The Senior Data Scientist will lead AI-native capabilities development, build machine learning models, and collaborate across teams for advanced analytics supporting energy market strategies.