Top Machine Learning Jobs in Edinburgh

Design and deliver enterprise-grade machine learning systems and AI-powered applications for banking. Build scalable, secure, distributed applications and automated cloud, desktop, and ML pipelines. Apply MLOps practices for versioning, reproducibility, and observability while collaborating with cloud and site reliability engineering teams. Develop reusable libraries and business-critical, data-intensive solutions, aligning machine learning problems with business objectives. The role may include mentoring or people leadership.

Leads technical direction for GitLab’s Core DevOps services, covering CI, CD, planning, and source control. Defines architecture, quality metrics, migration strategies, and technical roadmaps; addresses systemic risk and complex design decisions; prototypes and writes code when needed; partners with Infrastructure, Security, SRE, and Product; adopts AI capabilities; mentors senior engineers; supports incident response and senior technical hiring.

Supports enterprise sales by discovering customer requirements, mapping them to SailPoint solutions, and delivering foundational implementations and proof-of-value engagements. Acts as a technical lead and consultative advisor, educating customers on architecture and best practices. Collaborates with sales, product, professional services, partners, and customer success teams while developing AI-driven and agentic solutions for demonstrations and customer outcomes.

Leads the end-to-end design of data solutions, including ingestion, transformation, data modeling, and cloud data platform architecture. Defines target-state solutions using Databricks, Azure, and AWS across data warehouses, lakes, and lakehouses. Designs data product architectures, ownership frameworks, and solutions supporting AI and analytics. Collaborates with architects, engineers, platform owners, and analysts while documenting and presenting complex solutions to senior and non-technical stakeholders in regulated environments.

Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.

Lead the technical direction and architecture of a major global product area comprising multiple modules. Design scalable distributed cloud systems, shape technical vision and roadmaps, guide engineering teams, make high-stakes architectural decisions, and partner with technical and executive stakeholders. The role is primarily hands-off, with occasional code-level design and proof-of-concept work. Responsibilities also include mentoring engineers, driving modern engineering practices, and enabling AI-powered solutions.

Deliver enterprise and operational risk transformation and advisory services for financial institutions. Assess and enhance risk processes, controls, governance, market abuse frameworks, and trade surveillance capabilities. Support AI-enabled analysis, surveillance model tuning, workflow automation, validation, auditability, and responsible AI practices. Collaborate with business, technology, compliance, and risk stakeholders to identify control gaps and implement data-driven improvements.

Lead GitLab’s company-wide strategy for autonomous, agentic software development workflows. Identify and validate AI opportunities across the SDLC, build prototypes and reference architectures, establish evaluation frameworks and safety controls, and drive internal adoption. Partner across Engineering, Product, Infrastructure, Security, Architecture, and Data and ML teams to scale reliable, observable, compliant agentic capabilities into customer-facing products. Mentor senior technical leaders and represent GitLab externally on AI-assisted development and productivity measurement.

Leads biomedical data science for clinical and health research, integrating clinical, observational, EHR, genetic, wearable, electrophysiological, and video data. Develops signal-processing methods, machine-learning models, probabilistic and time-series analyses, scalable data pipelines, and reproducible workflows. Validates clinically relevant models, supports disease phenotyping and predictive modeling, ensures compliance with pharmaceutical and healthcare standards, and communicates technical findings to clients and stakeholders.

Executive leader responsible for globally scaling Customer Success across delivery, support, engineering, education, and project management. The role focuses on reducing churn, increasing adoption and expansion, optimizing the customer lifecycle, proving customer value, incorporating customer feedback, improving operational efficiency, and building talent. The VP partners closely with Sales, Product, Marketing, Finance, and Legal while serving on the executive leadership team and reporting to the CEO.

Participate in a 12-month data science graduate programme, developing models and AI solutions across their full lifecycle. Apply statistical analysis, machine learning, data visualization, and cloud technologies to complex business problems. Collaborate with engineers, analysts, and cross-functional teams to generate actionable insights while developing expertise in responsible AI, data privacy, and customer-focused innovation.

The Data Analyst will analyse complex datasets, develop dashboards and reports, translate stakeholder requirements into data-driven solutions, and support analytical models and AI-enabled capabilities. The role involves collaborating with engineers, architects, and business analysts; ensuring data quality and governance; participating in Agile delivery; presenting insights; and supporting UX/UI for digital tooling within a secure Defence programme.

Develop and maintain Elasticsearch’s Inference API and plugin framework, integrating internal and external AI providers. Responsibilities include API and protocol design, streaming, asynchronous execution, rate limiting, configuration, billing integration, error handling, open-source contribution reviews, incident response, and comprehensive unit, REST, and rolling-upgrade testing. The role requires advanced Java expertise, concurrency and parallelism knowledge, API design skills, cross-functional collaboration, and autonomous work in a distributed team.

Own Quince’s international forecasting and replenishment architecture, combining classical forecasting, machine learning, and AI agents. Build prototypes and analytical tools in Python, SQL, and Streamlit; partner with data and engineering teams to productionize successful solutions. Improve forecast accuracy, reduce stockouts, automate planning workflows, support new-market launches, and translate between planners, engineers, and leadership. Establish trusted human-machine decision processes and continuously improve planning systems across international markets.

Provides advanced technical support for Azure customers, resolving complex escalations, conducting root-cause analysis, optimizing cloud environments, and guiding solution deployments. Partners with engineering, product, support, and field teams to improve customer health, service reliability, troubleshooting content, and platform capabilities. Acts as the customer advocate within Azure by translating usage patterns and feedback into actionable product improvements and communicating resolutions to customers.

Manage regional field marketing across Middle Eastern markets from the UK. Plan and execute sponsorships, conferences, executive events, roundtables, customer experiences, account-based marketing activations, and country launches. Responsibilities include venue sourcing, vendor management, logistics, branding, invitations, attendee management, on-site delivery, post-event follow-up, and collaboration with Sales, Growth, and country leadership to support strategic accounts and pipeline growth.

Leads complex Defence and national security programmes spanning AI strategy, R&D, digital product development, and deployment. Oversees portfolios, develops growth proposals, mentors teams, manages senior military and civilian relationships, and advises clients on AI implementation and operational outcomes. Requires substantial Defence experience, transformation programme leadership, digital product delivery, commercial consulting expertise, and UK Security Clearance eligibility. The role involves working onsite with UK customers two to four days weekly and travelling throughout the UK when required.

Designs mobile, desktop, and wall-display applications for healthcare and care staff. The role involves simplifying health data, creating workflows for different user levels, collaborating with AI and engineering teams, conducting customer site visits, prototyping in code, and designing around sensor and model limitations. Candidates should have 4+ years of software product design experience, strong information architecture skills, and ideally React or front-end development experience.

Leads statistical activities for Phase II–III oncology trials from protocol design through results reporting. Provides clinical development, endpoint analysis, SAP, regulatory, safety, and submission support; oversees programming and CRO work; conducts analyses using SAS and R; collaborates with cross-functional teams, sponsors, and health authorities; and mentors junior statisticians across multiple concurrent studies.

Leads Tide’s global KYX engineering organization across onboarding, continuous due diligence, identity, risk scoring, data science, and ML. Owns engineering strategy, organization design, model lifecycle, regulated AI deployment, and measurable improvements in conversion, due diligence quality, automation, and servicing costs. Partners with operations, policy, risk, compliance, product, and IAM teams across multiple markets while building globally reusable platforms with market-specific logic isolated.

Provide expert technical advice on age assurance and digital identity technologies within online safety regulation. Lead research and evaluations, assess technical feasibility and risks, translate complex concepts for policy and leadership audiences, prepare briefings and demonstrations, monitor emerging trends, and engage with academia, industry, public bodies, and external technical groups.

Conduct world-leading interdisciplinary research within the Decisions Cluster of the Leverhulme Centre for Algorithmic Life, examining how AI and algorithmic technologies transform decision-making. Develop research and funding plans, collaborate across disciplines, contribute to knowledge exchange and the research environment, support postgraduate research students, and undertake academic administration and citizenship activities.

Manage relationships with AI-native startups, scaleups, and labs across the UK. Understand customer goals, develop AI solution strategies, drive adoption and growth, coordinate technical and business resources, build customer references and case studies, identify emerging use cases, and represent NVIDIA at industry events. The role requires deep AI ecosystem knowledge, strategic planning, cross-functional communication, and understanding of NVIDIA’s software, server, and cloud stack.

Design, develop, and maintain the core backend of a cloud-based distributed video management system. Build new features, increase capacity, manage CI/CD and customer deployments, and ensure code quality, security, and scalability while collaborating within an agile team.

Leads the design, development, deployment, and governance of scalable Data and AI solutions using Databricks, Microsoft Foundry, and Azure. Defines AI technology roadmaps, mentors engineering teams, identifies high-value business use cases, prototypes and scales AI products, and ensures secure, ethical, enterprise-integrated implementations.