Top Machine Learning Jobs in Edinburgh

As a Product Manager at Bringg, you will define product strategy, work with stakeholders, manage the roadmap, and integrate AI into logistics solutions.

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.

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.

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

Design and lead Oversee's sales enablement strategy, building onboarding, certification, role-based learning, sales methodology, playbooks, and cross-functional engagement. Partner with Product, Marketing, Engineering, and RevOps to enable enterprise sales of AI and automation solutions, measure enablement impact, and improve win rates, ramp time, and sales cycle efficiency.

Lead statistical strategy and delivery for Phase I-IV clinical trials embedded with a pharmaceutical sponsor. Design analyses, support protocol and reporting activities, oversee programming/CRO work, apply SAS/R (R Shiny)/Python and ML/DL methods for analyses and automation, and mentor junior statisticians.

Lead assessment, design and delivery of project controls and PMO solutions for major capital programmes. Run workshops, produce findings/recommendations, deploy tools and digital solutions, engage senior stakeholders, support business development, and line-manage staff to drive performance improvements.

Lead BVNK's Financial Crime product portfolio: set strategy and roadmap, manage and mentor PMs, align with Compliance/Legal/Engineering, drive delivery, leverage data and ML/AI, and integrate third-party vendor solutions to detect and prevent money laundering, fraud, and sanctions evasion.

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

The Senior Product Manager will set product direction, own the development lifecycle, collaborate with teams, and ensure high-quality outputs. This role requires strong opinions on product quality and customer insights.

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.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Design and deploy custom supervised machine-learning classifiers using patent data, conduct technology research, scope and structure client projects, train classifiers on the LexisNexis platform, participate in and eventually lead customer meetings, perform ad-hoc data analysis and presentations, and contribute to Solutions & Consulting engagements.

Lead architecture and delivery of Rosso, a stateful, event-driven pricing platform: own design, code, production quality, scalability, and cross-functional integration with ML and Data teams while mentoring senior engineers and driving organisation-wide technical outcomes.

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.