Top Machine Learning Jobs in Edinburgh

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.

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.

Responsible for developing sales revenues from existing and new customers, managing the sales process, building customer relationships, and collaborating with internal teams to drive account success in the Banking and Financial Services market.

The Senior Account Executive will lead revenue growth efforts by acquiring new business, nurturing client relationships, and collaborating with teams to ensure customer satisfaction, focusing on revenue management and solution selling.

Lead clinical studies by providing statistical support, employing advanced analytical methods, and collaborating with cross-functional teams to optimize clinical development processes.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

The role involves building infrastructure for training open source foundation models, with emphasis on autonomy and contributing in a dynamic team.

The Machine Learning Engineer will develop ML and GenAI solutions, deploy algorithms in production, mentor teams, and drive data strategy initiatives while fostering a collaborative culture in the data science community.

Lead the product strategy for Jumio's ID Verification solutions, overseeing product lifecycle, team performance, and collaboration with engineering and marketing, ensuring compliance and customer needs are met.

The Senior FinCrime Product Owner will design and implement a financial crime prevention product, develop strategy, and lead product delivery at Deblock.

As a Senior MLOps Engineer, you will design robust ML infrastructure, drive the MLOps vision, optimize pipelines, and mentor teams while collaborating with data scientists and engineers.

Lead end-to-end ML initiatives: integrate and fine-tune models, optimize GPU inference for latency and throughput, build evaluation and monitoring tooling, collaborate on scalable serving systems, and mentor engineers.

Lead the Compliance Infrastructure and Analytics team to develop financial crime solutions, ensuring regulatory compliance while enhancing product efficiency and user experience.

Design, build and optimise Python-based AI applications and data storage solutions. Collaborate with clients and teams, enforce code quality, CI/CD, testing practices, and deliver scalable production systems across cloud environments while travelling to client sites.

As a Sr. Account Executive, you will sell and develop customer relationships while building your territory, focusing on customs clearance efficiencies.

The Presales Engineer will address financial crime compliance needs by engaging clients, presenting solutions, leading POCs, and enhancing customer relationships.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

The Senior Machine Learning Engineer will develop machine learning solutions for online gaming platforms, improving security and user experience through data-driven decisions, while collaborating cross-functionally.

Lead a team of Senior ML Scientists to enhance automated decision-making in credit risk modeling, optimize data applications, and collaborate across departments.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.