Top Machine Learning Jobs in Edinburgh

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.

Leads digital delivery and optimization across AECOM’s Scottish water projects and frameworks. Develops digital strategies, governance models, operating approaches, platform roadmaps, and measurable workplans. Advises clients, facilitates stakeholder workshops, identifies automation and AI opportunities, supports MVP development, and promotes adoption of digital tools. The role also manages regional capability development, resource allocation, client opportunities, and digital-focused bids and tenders.

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 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.

The Director of FP&A will own budgeting, rolling forecasts, integrated financial modeling, cash flow and headcount planning, SaaS KPI reporting, variance analysis, board reporting, and PE sponsor reporting. The role will improve planning infrastructure across NetSuite, Salesforce, Pigment, and Bob, apply AI to finance workflows, and lead and develop the FP&A team across a multi-entity, multi-currency SaaS business.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Leads strategic R&D engagements from presales through delivery, translating scientific and business challenges into AI architectures, product backlogs, MVPs, simulations, integrations, data pipelines, and production solutions. Builds trusted relationships with R&D executives, scientists, engineers, and technical teams; assesses data, compute, feasibility, value, staffing, and delivery plans. Develops reusable architectures and playbooks, oversees technical workstreams, evaluates emerging AI capabilities, and provides feedback to shape Microsoft Discovery products and scalable industry solutions.

Manage the full sales cycle across EMEA, including prospecting, pipeline generation, client meetings, contract negotiation, and closing. Build strategic partnerships with mobile gaming and other app-focused clients, exceed revenue quotas, and collaborate with Customer Success, Marketing, and Product. Represent the company at industry events, track mobile advertising trends, and use AI technologies to improve prospecting and sales performance.

Build BLP’s core software across infrastructure, backend, machine learning, and product extension platforms. Responsibilities include operating secure and observable cloud infrastructure, developing performant distributed systems, applying AI to business problems, and enabling customer process automation. The role emphasizes formal reasoning, correctness by construction, maintainable systems, type systems, and functional programming. Work is available onsite in Zurich or remotely within Europe.

Lead regional field sales teams, develop sales strategies and account plans, manage pipeline and forecasts, recruit and coach sales managers, close enterprise technology deals, and grow business through customers, resellers, and partners. The role requires strong technical knowledge of cybersecurity, cloud, networking, and IT infrastructure solutions, executive-level selling skills, and the ability to manage remote teams across the NEMEA region.

Drive adoption of Rapsodo Golf solutions across UK golf ranges, clubs, and facilities. Responsibilities include prospecting, relationship building, on-site demonstrations, full-cycle sales, contract negotiation, installation coordination, post-installation support, CRM pipeline management, territory planning, event representation, and sharing customer and competitor insights with internal teams.

Leads the mid-market business development function, including team building, territory strategy, prospecting, negotiation, closing, pipeline management, and account acquisition and retention across pharma and biotech. Partners with marketing, strategy, and commercial operations on go-to-market execution. Represents the company at industry events and develops relationships with clinical trial sponsors while selling complex AI-powered SaaS solutions.

Leads a 25+ person organization of data scientists, machine learning engineers, and analytics engineers across Identity and Financial Crime. Owns data quality, governance, lineage, observability, fraud and financial-crime models, production performance, monitoring, retraining, and domain data products. Partners with engineering, product, risk, compliance, legal, and central data teams; influences upstream teams, develops managers and senior ICs, handles incidents, and scales hiring and technical strategy.

Own and build Oversee’s product marketing function, including ICP definition, positioning, persona messaging, competitive and win/loss research, product content, sales enablement, and end-to-end product launches. Partner closely with product, sales, growth marketing, and executives to translate technical AI and travel technology capabilities into compelling commercial messaging, establish repeatable GTM processes, and measure launch performance.

Develop statistical and machine learning models using soccer tracking and event data to support player recruitment decisions. Build spatio-temporal models, metrics, analyses, and interpretation tools; validate models; communicate findings to professional club clients; and partner with engineering on cloud deployment and production reliability. The role also includes code review, model maintenance, and advancing analytical methods.

Build and improve Firefox WebCompat internal dashboards, reporting tools, and broken-site screenshot capture pipelines. The role involves creating reliable data views for triage and metrics, automating screenshot workflows, collaborating with WebCompat and QA teams, and translating reporting needs into effective tooling. Familiarity with WebCompat workflows, Bugzilla, screenshot automation, and machine learning is preferred.

Leads Tide’s global engineering organization for ongoing monitoring, fraud detection, financial crime, sanctions, and regulatory-risk platforms. Owns engineering strategy, shared decisioning capabilities, ML model lifecycle, agentic AI governance, platform scalability, and measurable risk and efficiency outcomes. The role manages distributed engineering, data science, and analytics teams while aligning risk, compliance, operations, payments, product, and technology stakeholders across multiple markets.

Build and operate scalable cloud data pipelines, warehouses, transformation layers, and ML production systems. Lead data infrastructure architecture, warehouse performance optimization, DataOps monitoring, CI/CD improvements, data quality testing, and large-scale data product delivery. Collaborate across teams, promote data stewardship, and support batch and streaming pipelines while deploying, serving, and monitoring machine learning models.

Leads the FCA’s Agentic AI and Data Science Research function, setting AI strategy, governance, research ethics, data science standards, and long-term capability roadmaps. The role directs horizon scanning, responsible AI adoption, model assurance, and advanced analytics initiatives supporting regulation, financial crime reduction, and organisational effectiveness. It provides senior technical advice, leads multidisciplinary teams, develops talent, and influences executive, board, regulatory, and technology stakeholders.

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.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.