Top Engineering Jobs in Edinburgh

As the Analytics Engineering Lead, you'll set data standards, manage data architecture, ensure data governance, and drive analytics strategy while collaborating with cross-functional teams.

Lead and mentor multiple engineering teams, focusing on empowering their delivery of mobile and front-end applications by ensuring effective tools and capabilities.

The Senior Project Manager will lead cross-functional teams in engineering solutions, manage customer expectations, drive new business, and enhance processes while mentoring talent.

The Engineering Manager will lead a software engineering team, overseeing delivery, quality, and technical direction while managing development processes and fostering team growth.

Lead and scale an n8n-centric automation platform, build full-stack internal and client-facing automation products, design production-grade AI/LLM pipelines, set engineering standards, and hire and manage an automation engineering team to deliver scalable, resilient automation infrastructure.

Lead and scale the company's automation infrastructure and products while remaining hands-on. Design orchestration, monitoring, and resilient event/queue-driven workflows; integrate n8n and multiple SaaS tools; build AI/LLM production systems with Claude/OpenAI; ship client-facing and internal products; set engineering best practices, CI/CD, and observability; hire, mentor, and manage an automation engineering team and partner with the founder on technical strategy toward CTO growth.

Lead engineering to shift GTM from no-code automation to code-first, AI-agent-driven systems. Design scalable backend pipelines, integrate CRMs/APIs, build reusable agent frameworks, ensure reliability and observability, and hire/mentor a distributed engineering team to deliver production GTM infrastructure.

The Software Engineering Manager leads and mentors software engineers, fosters a supportive environment, collaborates with cross-functional teams, and ensures high-quality software delivery while adhering to industry regulations.

Define and execute the AI engineering strategy and roadmap. Lead build, deployment, and operation of secure, reusable AI solutions. Establish engineering standards and frameworks. Build and mentor high-performing AI teams. Partner with Product, Architecture, Data, and Technology leaders to industrialise AI capabilities at enterprise scale.

Lead and grow a data engineering squad to build reliable, scalable data platforms and pipelines supporting experiments, real-time experiences and AI/ML use cases. Drive engineering excellence, delivery, observability, CI/CD, and cross-functional collaboration with product, analytics and data science.

The Technical Engineering Advisor will perform DFM analysis, coordinate product development, liaise with customers and suppliers, implement engineering changes, and support manufacturing processes.

Lead evaluation and benchmarking of AI-driven genomic interpretation: own gene/disease/variant mapping logic, define accuracy and release criteria, establish regression standards, partner on automated validation, and guide where deterministic logic supplements models.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

Lead and grow engineering teams building blockchain and Web3 products. Drive technical strategy, architecture, delivery, quality, hiring, mentoring, and engineering processes to ensure reliable product delivery and team scaling.

Lead engineering talent acquisition: own senior hiring, workforce planning, employer branding, and pipeline. Run bold experiments, build hiring metrics, and design AI-assisted workflows to cut time-to-hire while maintaining quality.

Lead a team of cloud engineers to design, implement, secure, and optimize cloud-native landing zones on Azure and GCP. Own IaC (Terraform/Ansible), container orchestration (Kubernetes/Docker), CI/CD, monitoring, cost and security optimization, cross-functional integration, documentation, and mentoring.

Senior individual contributor on Site Reliability and Support for EMEA. Lead incident triage for high-impact outages, maintain observability, act as senior escalation for complex cases, produce runbooks/postmortems, and drive permanent fixes across the customer base.

Lead and grow Developer Experience and DevOps teams to improve engineer productivity, reduce tooling friction, and drive delivery. Hire and develop senior staff, set priorities, stay hands-on on key technical work, support technical direction, and build cross-functional alignment in a remote-first environment.

Lead and grow an engineering team, partnering with Product and Design to define roadmaps and deliver features with high-quality execution.

Lead engineering for Consumer Intelligence & Engagement, owning personalization, content management, product discovery, promotions, and communications. Define technology strategy, architecture, and AI integration; ensure GraphQL/APIGEE APIs, SFCC and Sanity implementations, performance, testing, and platform health. Build and mentor senior engineering teams, partner with product and business stakeholders, and drive delivery, standards, and experimentation across DTC commerce capabilities.

Lead platform engineering for consumer web and mobile experiences, set technology vision and standards, own frontend architecture, component library, observability and performance, drive AI/LLM integration, govern vendor delivery, and grow a lean senior engineering team to deliver fast, accessible, and scalable DTC digital experiences.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

The Customer Engineer will provide pre-sales technical support, enhance customer success, and promote AI-driven security solutions while collaborating across teams and requiring travel to client sites.

The Engineering Manager will lead the Forward Deployed Engineers, manage deployments of North platform, optimize performance, and ensure customer success while collaborating with Product and Sales teams.

Lead developer productivity and engineering practices at AlphaSense, focusing on CI/CD, AI-driven developer tools, and improving software delivery workflows.