Top Machine Learning Jobs in Edinburgh

Lead design and delivery of secure, scalable enterprise software for private banking. Build reusable frameworks, integrate AI/ML, ensure operational stability, mentor engineering teams, and influence senior stakeholders to drive digital transformation.

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 applied AI research and architecture for GenAI in cybersecurity: design LLM architectures, implement production-grade deep learning systems at scale, mentor scientists, set technical standards, and align AI strategy with business goals.

CrowdStrike seeks a Senior Intelligence Analyst to provide threat intelligence and digital risk monitoring, collaborating with teams to deliver customer-focused solutions and presentations, while maintaining customer relationships.

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.

Lead technical research and advisory work on technologies underpinning online services to support Ofcom's online safety objectives. Provide expert technical guidance on AI/ML moderation systems, encryption, privacy, and network architectures; design and manage research projects and experiments; assess regulatory feasibility and platform implications; produce analytical outputs for senior decision-makers; and build internal and external relationships to inform policy and regulatory approaches.

Lead and grow an interdisciplinary quantum computing research programme within the School of Informatics; co-develop activities with the Quantum Software Lab; attract funding; publish high-quality research; supervise postgraduate students; teach undergraduate and specialist machine learning topics (including online/distance delivery); provide leadership and management of research staff and projects; engage in knowledge transfer and external collaborations.

Design, productionise and monitor ML models and pipelines for production. Lead teams, collaborate with stakeholders to translate prototypes into robust, automated solutions, focusing on fraud and financial-crime use cases.

Lead and grow a distributed engineering organization building customer-facing security capabilities: proprietary scanners, AI/ML detection engines, agentic remediation, vulnerability management, and security foundations. Set vision and roadmap, drive architecture and delivery, partner with product management, establish engineering standards, and represent the group in cross-functional and customer forums.

Build and maintain short-term price-forecasting models for European power markets (day-ahead, intraday, balancing). Apply mathematical optimization and machine learning, integrate large market and weather datasets, design data pipelines, visualize results with Power BI, monitor policy impacts, collaborate with internal experts, and present client-facing insights.

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

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

Drive new enterprise SaaS business by prospecting, managing, and closing high-value deals. Build territory and account plans, collaborate with Sales Engineering, Marketing, Customer Success and Partners, and sell Conga revenue lifecycle solutions (CPQ, CLM, doc-gen, e-sign). Focus ~90% on new business and consistently exceed quota.

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.

Lead product strategy connecting retail operations and accounting for Tekion's ARC platform. Own UK/Canada retail requirements, drive transformation-first customer engagements, define stock management and integration standards, collaborate across product, engineering and implementation, and represent Tekion externally to enable enterprise dealer adoption.

Lead and coordinate cross-functional projects from planning through execution. Improve operational processes using data, budgets, KPIs and AI/automation tools. Create internal communications, manage multiple workstreams, drive stakeholder collaboration, and deliver measurable improvements in team efficiency and culture.

Design, run and scale EMEA partner marketing programmes that enable many partners to run turnkey campaigns. Build tiered partner journeys, self-service resources, MDF governance, performance metrics, automation, and cross-functional alignment to increase partner-sourced pipeline, campaign adoption, and partner progression while reducing manual effort.

Define and lead the enterprise AI operations model and governance. Own operational performance, monitoring, adoption, reliability, and business value of AI products. Drive cost transparency and optimisation across Azure, Databricks and inferencing. Govern model lifecycle (onboarding, deployment, monitoring, retraining, upgrades, retirement) and lead incident, change, resilience, and responsible AI processes to keep production services secure and compliant.

Lead design, development, and deployment of scalable Data & AI solutions on Databricks and Microsoft Foundry. Define AI technical roadmap, mentor an AI engineering squad, partner with stakeholders to prototype and scale AI products, and ensure governance, security, and ethical AI practices across enterprise platforms.

Lead regional store estate strategy using data and insight to create business cases for openings, closures, relocations and footprint changes. Conduct site visits, build stakeholder partnerships, run post-opening reviews, drive location planning innovation, and present recommendations to senior leaders.

Lead technical strategy and architecture for personalization, search, and recommendation systems. Deliver scalable ML-powered features, mentor senior engineers, and improve engineering quality across cross-functional teams.

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

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.