Top Machine Learning Jobs in Edinburgh

Manage and expand strategic partner alliances for SailPoint’s enterprise software business. Develop joint business, marketing, technical certification, and go-to-market plans; generate partner-sourced pipeline; coordinate account mapping, co-selling, enablement, promotions, and implementation capacity. Serve as the primary liaison between SailPoint and partner organizations, monitor performance and KPIs, ensure compliance and delivery quality, and present quarterly business assessments. The role requires extensive enterprise partner-management experience, analytical skills, executive communication, and approximately 50% travel.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Manage a team of machine learning engineers developing credit and lending models for international markets. Set technical strategy, guide advanced ML solutions, partner with product, engineering, analytics, design, and risk teams, and ensure scalable underwriting capabilities. Provide hands-on technical leadership, clarify complex problems, manage trade-offs, and mentor engineers while contributing to Affirm’s long-term machine learning strategy.

Own the strategy, investment case, governance, and commercialization of Wood Mackenzie’s analytical modeling product portfolio across power, gas, and oil markets. Lead senior product managers, productize research assets, establish validation and documentation standards, and define delivery through applications, APIs, and data platforms. Partner with centralized engineering and modeling teams without directly managing developers. Prioritize portfolio investments, ensure methodological quality, and expand machine-consumable modeling products for trading customers.

Lead research developing interpretable AI-for-science methods for quantum computing. Responsibilities include designing research software and experiments, evaluating AI-assisted scientific work, conducting failure analysis, collaborating with quantum researchers, publishing findings, releasing research artefacts, coordinating technical work, supporting junior researchers, and contributing to future proposals.

Designs and optimizes scalable data pipelines and data solutions supporting actuarial modeling and assumption setting. Ensures data quality, governance, validation, monitoring, and audit controls across complex financial-services datasets. Translates business requirements into technical solutions, integrates data sources, applies machine learning and advanced analytics, and improves platform performance. Provides technical guidance, reviews code and analysis, coaches junior colleagues, and contributes to data engineering standards and continuous process improvement.

Leads Citi’s global Complex Assets franchise across OTC derivatives post-trade services, middle office, and fund accounting. Owns enterprise strategy, P&L, operations, risk controls, client relationships, organizational leadership, technology transformation, and cross-business collaboration. Develops transformation roadmaps, drives innovation using AI, machine learning, cloud infrastructure, and automation, and represents the business with executive stakeholders, institutional clients, industry bodies, and regulators.

Conduct original research in embodied and spatial AI, focusing on 3D perception, spatial reasoning, multimodal models, world models, navigation, learning from interaction, and intelligent agents. Publish research, collaborate across AI and robotics, help shape the research programme, and support supervision and mentoring of student projects.

Lead the design and delivery of modern data and AI solutions for multiple customers. Provide architectural direction, technical assurance, and thought leadership while advising senior stakeholders on strategic and technical decisions. Manage and mentor architects and engineers, develop standards and account strategies, support agile teams, build customer relationships, and guide scalable, distributed, cloud-based applications. The role also involves business development, technology advocacy, and fostering inclusive, high-performing teams.

Lead real-world evidence biostatistical analyses using large-scale healthcare data to support clinical development, regulatory strategy, HEOR, and payer decisions. Design observational studies and target trial emulations, apply causal inference, statistical learning, machine learning, and NLP, and build reproducible Python/R workflows. Collaborate with clinical, epidemiology, data engineering, and HEOR teams while translating findings for technical and non-technical stakeholders. Support regulatory submissions, governance, audits, and scientific dissemination.

Own the strategy, roadmap, development lifecycle, and go-to-market activities for fraud analytics products. Lead customer discovery, prioritize product improvements, analyze complex data, collaborate with development and data science teams, and use market and customer insights to improve user outcomes. The role requires fraud prevention expertise, statistical modeling and AI/machine learning knowledge, strong stakeholder communication, and flexible UK-US working hours.

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.

Conduct academic research under the King-Smith Group to develop machine learning models for identifying novel therapeutic candidates. The role involves applying machine learning methods to chemical sciences, completing research projects, and communicating findings effectively. The position is a full-time, 18-month fixed-term postdoctoral appointment, with part-time and flexible working options considered.

Lead strategic relationships with Capital Markets organizations across EMEA, driving adoption of NVIDIA AI and accelerated computing solutions. Serve as the primary client contact, grow revenue and platform usage, develop account strategies, forecast business, and engage senior technology leaders. Collaborate with solution architects, business development, developer relations, cloud partners, hardware providers, and software developers. Communicate solution value, provide thought leadership, and travel to meet clients and partners.

Software engineering intern supporting the Platform Engines group and Policy Engine for SailPoint’s cloud identity security platform. Responsibilities include developing software, procedures, and test solutions; collaborating with software and QA engineers, technical writers, and product managers; and working in Agile teams. The intern will gain exposure to cloud and software technologies including Golang, Angular, AWS, Docker, Kafka, Kubernetes, REST, SQL, and Temporal.

Lead technical discovery, solution design, demonstrations, and proof-of-concept support for Anaconda’s AI and data science platform across EMEA. Partner with sales on complex opportunities, translate technical capabilities into business value, create reusable technical content, represent customer feedback to product teams, and coordinate cross-functional handoffs through implementation. Manage multiple concurrent sales cycles while supporting pipeline growth, deal expansion, and faster closes.

Lead technical pre-sales engagements for enterprise email security customers. Partner with sales teams, conduct workshops and presentations, architect tailored solutions, and guide migrations from legacy Secure Email Gateways to Abnormal AI’s API-based platform. Build trusted customer relationships, troubleshoot migration challenges, provide product feedback, develop enablement content, and represent the company at industry events.

Provides customer-facing threat analysis and fraud prevention expertise for behavioral biometrics solutions. Responsibilities include advising financial institutions, analyzing fraud detection performance, deploying rules for attacks, supporting data science research into emerging threats, delivering reporting and insights, educating customers, leading workshops, and contributing to sales enablement and product strategy.

Leads complex customer audits, due diligence, and RFI/RFP engagements; oversees compliance response quality, customer communications, governance, process improvement, tooling, and team development. Partners with Sales, Legal, Information Security, and executives to address high-risk inquiries, maintain response documentation, improve workflows, and ensure accurate, customer-ready outputs.

Drive enterprise software sales through prospecting, product demonstrations, technical value communication, negotiation, closing, and customer expansion. Serve as the primary customer contact, maintain CRM and forecasting data, collaborate with product and engineering teams, gather customer feedback, and support adoption. The role focuses on Replit’s AI-powered developer platform and requires London-area availability with travel up to 25%.

Own and improve production machine learning pipelines focused on accuracy, efficiency, and trustworthiness. Build LLM evaluations, judges, datasets, metrics, and benchmarks; run experiments across prompts, models, and pipeline designs; and reduce LLM costs through smaller task-specific models. Expand anonymization capabilities, evaluate open-source models, and collaborate with quality engineers to ship reliable ML features. Document findings and communicate technical trade-offs clearly.

Conduct empirical AI safety research with mentor guidance, owning projects from hypotheses and controlled experiments through analysis and technical writing. Build and debug evaluation harnesses, agent environments, datasets, monitoring methods, and post-training experiments. Investigate model failures, alignment, deception, misuse, multi-agent risks, and evaluation reliability. Produce reproducible code, experiment logs, research analyses, and papers for potential submission to leading machine learning conferences.

Leads the EMEA and LATAM Advanced Services architecture delivery team, overseeing complex customer and partner projects across pre-sales and delivery. Responsibilities include recruiting and developing architects, collaborating with Sales, Product Management, Engineering, and Customer Experience, presenting enterprise solutions, managing escalations, ensuring customer satisfaction, and shaping the services portfolio. The role requires strategic services expertise, strong leadership, data-platform knowledge, executive communication, and the ability to travel extensively across the region.

Independently assess medical device software lifecycle processes and technical documentation under EU MDR, UK MDR, IEC standards, and related cybersecurity guidance. Review SaMD and AI-enabled devices, raise and resolve technical findings with manufacturers, interpret regulatory requirements, and deliver consistent assessments using established workflows with minimal oversight.

Support UK insurance pricing through price modeling, implementation, strategy, monitoring, and development of new products. The role balances pricing accuracy, profitability, and price-comparison competitiveness while collaborating with data scientists, product, and underwriting teams. It also involves developing pricing capabilities using actuarial methods, predictive modeling, machine learning, and AI, while continuing actuarial education and monitoring regulatory changes.