7 of 7 Remote/Hybrid Artificial Intelligence Engineering Jobs in Scotland

Scotland (Edinburgh Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Shape the future of AI-powered financial services through cutting-edge generative AI engineering and enterprise-scale innovation. The Role We’re looking for a Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery … design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands‐on across the full AI engineering lifecycle, from architecting intelligent multi‐agent systems to deploying scalable production‐grade AI applications within enterprise environments. As a senior consultant ...

AI Engineer Manager/Associate Director | Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13115 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role … would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption ...

seeking a Senior AI Engineer to design, build and deploy generative AI systems for financial services clients. You’ll own the full AI engineering lifecycle, from architecture to production deployment, working with multi-disciplinary teams across client projects. The role emphasizes scalable MLOps, low-latency AI, and hands ...

operate the foundational infrastructure that enables AI systems to scale safely, securely, and reliably across the enterprise. This role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. … evaluation, and inference. Engineer scalable, reliable, and secure cloud native services to support AI workloads across AWS, Azure, and hybrid environments. Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems. Enable production deployment of ML models and LLMs ...

Sky. Role/Team overview We are seeking an AI Specialist to design, build, and operationalise intelligent systems that enhance Site Reliability Engineering (SRE) platforms and automate large-scale infrastructure operations. This role has a strong emphasis on reliability, scalability, and operational efficiency. You will work closely with … improve signal fidelity . Build predictive reliability models (e.g., capacity forecasting, failure prediction). What you'll bring Essential criteria: Strong experience in AI engineering, particularly in operational or systems contexts . Practical experience of SRE principles (SLIs, SLOs, error budgets, incident management). Strong experience of cloud ...

closely with London engineering teams who own those systems today. Drive technical strategy. Translate product and business goals into a coherent AI engineering roadmap. Shape which problems we tackle, in what order, and why - then socialise it with engineering leadership and the exec team. … technical co-founder Experience in EdTech, regulated content, or domains where AI output quality has compliance implications Published thinking or external contributions in AI engineering - talks, writing, open source Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards Benefits Time off - 27 days holiday, plus ...

give feedback that makes engineers better. Pair with less experienced colleagues on hard problems and help set the standard for production-quality AI engineering on the team. What We’re Looking For Production AI Engineering You’ve shipped AI-powered features to real users. You understand … systems that sit inside one. Depth in Your Domain You’re a subject matter expert in at least one area of the AI engineering stack — retrieval, context management, evaluation, tool design, or backend systems that support agents. You can demystify that area for the team and make better ...