Top Data Jobs in Edinburgh

Lead and manage a team focused on machine learning infrastructure, guiding development and ensuring high-quality delivery while fostering a collaborative and inclusive environment.

The Senior Data Engineer will design and maintain data pipelines, collaborate with cross-functional teams, ensure data quality, and optimize processes using various tools and technologies.

As a Data Analyst at Kaluza, you'll analyze data to derive insights, build dashboards, and support product performance improvement through analytics.

Seeking a Data Engineer to build and maintain data pipelines and systems, ensure data quality, and collaborate with teams for analytics and business decisions.

The Principal Product Manager - Data will lead data products, define strategic direction, and collaborate across teams to drive business impact and innovation.

The Data Analyst will collaborate across teams to improve data collections, analyze data change requests, and engage with stakeholders to co-create solutions, enhancing regulatory decisions and data quality.

The Key Account Director will foster relationships with a strategic enterprise client, driving growth and managing multiple projects while ensuring effective account management.

The Senior Data Owner will manage corporate datasets, collaborate with teams to define data standards, and lead data transformation projects, ensuring quality and governance.

The Principal Data Engineer will design and implement data architectures, optimizing solutions for cloud environments, while collaborating with stakeholders and mentoring team members.

As a Solutions Architect, you will drive innovation for NVIDIA customers by providing expertise in Generative AI post-training, especially utilizing LLMs and data processing techniques. Responsibilities include building proof-of-concepts, collaborating with various teams to integrate NVIDIA technology, and guiding customers on tools and methodologies for model alignment and training.

The Data Solutions Consultant will engage with decision-makers, provide product demonstrations, and collaborate on innovative marketing strategies to drive sales growth and client satisfaction.

The Senior Data Engineer will lead data solution design and delivery, mentoring junior staff, and engaging with clients to drive data strategy using Azure technologies and AI.

Manage relationships with 25-30 members, assist clients in achieving priorities using Gartner assets, provide tailored service solutions, and oversee member lifecycle activities including retention and growth strategies.

The Data Product Owner will manage the entire data lifecycle, lead a team of engineers, and align product vision with business goals in a remote setting.

The role involves leading generative AI solutions, collaborating with clients, developing NLP applications, and contributing to AI methodologies at Ascent.

The VP Sales will drive growth by actively seeking new clients, managing a sales team, and ensuring successful delivery of solutions while maintaining strong customer relationships.

The Senior Director leads data analytics and governance initiatives at Gartner, creating insights for clients, supporting sales efforts, and mentoring team members to drive client value and business goals.

Deliver scalable data infrastructure for automated workflows, design data warehouse schemas, and create dashboards for stakeholders in finance.

Lead the development of analysis specifications and conduct analyses for Real World Data research while ensuring quality standards across projects.

Lead a team of data engineers, overseeing data product development, guiding technical solutions, and collaborating with cross-functional teams to enhance data systems.

Lead the technical design of data infrastructure, implementing scalable and secure data pipelines while collaborating with engineering and product teams.

The Data Centre Specialist Level 3 will provide expert solutions in records management, digital transformation, data centers, and asset lifecycle management while contributing to customer and environmental impacts.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

Lead the data strategy and analytics team, ensuring data-driven solutions across the organization, while mentoring a skilled team and fostering a data culture.