Top Machine Learning Jobs in Edinburgh

Provide clinical guidance across sales, implementation, product, and support teams for InterSystems health information solutions. Engage senior clinical and executive stakeholders, lead demonstrations and workshops, support procurement and digital transformation, and translate clinical requirements into solution narratives to drive adoption and product strategy.

Lead and manage an ML engineering team building post-origination credit models for repayment, collections, recovery, and loss mitigation. Define technical strategy, design and scale ML solutions, partner with product, engineering and risk, mentor engineers, and operationalize models to minimize loan loss and personalize collections.

Lead the creation of user-centric digital products in financial services, focusing on intuitive design and leveraging AI for enhanced user experiences.

Build and maintain high-performance ETL pipelines for trading data, create interactive dashboards and web apps, apply machine learning to market data, deploy scalable cloud solutions, and provide analysis to support supervisory and policy decisions across equities, fixed income, commodities, and FX.

As a Junior Quantitative Trader, support trading activities, analyze algorithm performance, improve trading workflows, and assist with compliance and risk management.

The VP of AI Platform Engineering will lead AI development at BlackRock, focusing on scalable architecture, team management, and cross-functional coordination to enhance engineering capabilities and empower technologists.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

The EMEA Events Marketing Manager will develop and execute strategic event marketing programmes while overseeing multiple projects, ensuring high-quality attendee experiences, and collaborating with cross-functional teams.

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.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

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

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

Lead and scale Mimica's product organisation, define global product strategy and roadmap for AI-driven task/process mining and automation, mentor product and design teams, improve product operations and discovery, align cross-functional stakeholders, handle escalations, and hire and forecast team needs.

As an Engagement Manager, you will enhance customer utilization of BioCatch's Behavioral Biometric solutions, manage relationships, lead projects, and identify sales opportunities.

The Senior AI Transformation Consultant works with clients to identify AI opportunities, define robust business cases, and oversee AI project deployments, ensuring solutions deliver value.

One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.

The Product Marketing Director will drive global growth and reputation through market insights, effective messaging, product launches, and sales enablement in the cybersecurity space.

The Content Marketing Manager will create and oversee multi-format content, collaborate across teams, and align content with business objectives.

Lead the development and optimization of machine learning algorithms, owning the end-to-end model development and collaborating with Data Engineers for integration into live systems.

The role involves designing scalable data pipelines, implementing custom ML algorithms, and working on microservice architectures for ad optimization models.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

Lead Analytics Engineer to architect and scale Operations data in BigQuery, build robust ETL and data models for reporting, ML and LLM use, drive re-architecture of domains, set DW best practices, own data governance and testing, lead through others, and provide on-call pipeline support.

Lead development of enterprise commercial intelligence: build data models (pipeline, forecasting, segmentation), deploy AI/ML for forecasting and churn, create dashboards, establish data governance, partner with senior leaders to drive insight-led decisions and adoption across global teams.

The Factory Software Engineer will implement technology solutions for data integration, collaborate with stakeholders, and ensure delivery of high-quality software solutions.