Top Machine Learning Jobs in Edinburgh

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Lead and mentor a data science team building ML and LLM solutions for cybersecurity. Translate business needs into research and production ML objectives, prioritize roadmaps, collaborate cross-functionally, and drive technical vision, model development, and operationalization for malware detection and threat analysis.

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.

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.

Perform malware and threat research across the attack lifecycle, validate and improve Falcon detections, collaborate with engineering and ML teams, automate analysis, support external security testing, and translate findings into product protections.

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.

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

Lead product strategy and transformation for Funds Middle Office, coordinating cross-functional Agile programs, deploying data and AI capabilities, improving IBOR/ABOR and operational workflows, engaging senior stakeholders, and delivering scalable client-facing solutions.

Use data analytics to detect, investigate, and prevent financial crime. Collect, clean and analyse large datasets, support fraud detection and monitoring, build statistical and ML models, produce visualisations and present findings to senior stakeholders, and collaborate with IT, legal and compliance on investigations and controls.

Lead the design, development, deployment, and maintenance of scalable cloud-native platform capabilities for Walmart Connect’s sponsored search ad server. Build infrastructure, tooling, AI/ML frameworks, and distributed systems; conduct design reviews; drive software lifecycle activities; mentor engineers; influence architecture and technical decisions; and collaborate across teams to translate complex business needs into reliable, data-driven solutions.

Lead technical pre-sales for AI and data opportunities across the UK public sector. Shape solution strategies, conduct client workshops, lead bids and procurements, advise on responsible AI adoption, and develop differentiated AI propositions. Provide expertise in generative and agentic AI, machine learning, LLM solutions, data foundations, governance, evaluation, and production adoption. Build senior stakeholder relationships, support demonstrations and proofs of concept, mentor colleagues, and ensure proposed solutions are practical, secure, scalable, ethical, and deliverable.

Build and own pricing data science capabilities, including demand and elasticity models, forecasting, willingness-to-pay models, pricing optimization, experimentation, and causal analysis. Deploy and monitor machine learning systems, establish governed pricing metrics, and partner with Commercial, Finance, and Product to improve margin and revenue. Set analytical standards for pricing decisions and build reusable analytical capabilities.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

Leads global strategic sourcing and procurement for digital technology and Food & Nutrition categories. Manages $125M+ in spend, SaaS and professional services suppliers, sourcing strategies, RFPs, contracts, supplier governance, performance, risk, and cost optimization. Partners with senior stakeholders, Legal, Infosec, sourcing teams, and suppliers to support digital transformation, standardization, automation, and commercial objectives.

Leads European defense business development for autonomous sensing and edge-AI payloads used in military uncrewed aerial systems. Responsibilities include entering European markets, building relationships with Ministries of Defence and aerospace OEMs, sourcing and closing major opportunities, leading capture strategies and proposals, coordinating demonstrations and flight trials, and providing market intelligence to product teams. The role requires deep European defense, UAS, procurement, and technical expertise, frequent travel, and an EU/NATO Secret or equivalent clearance.

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 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 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.

Lead a team of product managers to define and execute global AI-driven fraud prevention strategy for New Account Opening. Drive customer discovery, prioritize roadmap, measure portfolio KPIs, partner cross-functionally, analyze ML-driven data, manage product profitability, and support global stakeholders to deliver measurable business outcomes.

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.

Lead product strategy and roadmap for Dentally, build and mentor a high-performing product team, embed discovery and data-informed practices, champion generative AI/automation, collaborate cross-functionally, adapt products for regional markets, drive adoption and revenue opportunities, and own recruitment and development of product staff.

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.