14 of 14 Permanent 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 ...

computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling. You will play a key role in developing algorithms that enable systems … team. Keep up to date with emerging developments in AI, machine learning, and computer vision. Experience Required Degree or equivalent experience in Computer Science, Artificial Intelligence, Engineering, Mathematics, Physics, or a related discipline. Proven experience developing machine learning or computer vision algorithms for production or near ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed … skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step ...

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 ...

Qualifications, Capabilities, and Skills: Hands-on practical experience delivering system design, application development, testing, and operational stability Proven experience in writing code using AI Engineering Tooling such as Claude Code, Copilot, or Codex Proficient experience in GoLang Cloud native experience with Kubernetes, Cloud Foundry, and/…/CD, Application Resiliency, and Security Demonstrated proficiency in software engineering for applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, software design) In-depth knowledge of the financial services industry and IT systems Strong critical thinking, systems thinking ...

employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. The R&D Engineering Lead is a senior technical leader within the Global ServiceNow Portfolio organisation, reporting directly to the CTO/Portfolio Lead. This role is responsible … technologies, ServiceNow releases, and ecosystem opportunities to shape next‐gen solutions. Partner with the CTO on strategic bets and long‐term capability building. AI Engineering & Next‐Generation Solutions Lead engineering design and development of: GenAI solutions Agentic AI components, including autonomous agents and workflow orchestration AI ...

Engineering Lead Senior technical leader within the Global ServiceNow Portfolio organisation, reporting directly to the CTO/Portfolio Lead. Responsible for driving engineering-led innovation, building next-generation accelerators, architecting cutting‐edge GenAI and Agentic AI capabilities, and supporting the creation of differentiated IP for Atos … technologies, ServiceNow releases, and ecosystem opportunities to shape next‐gen solutions. Partner with the CTO on strategic bets and long‐term capability building. AI Engineering & Next‐Generation Solutions Lead engineering design and development of GenAI solutions, Agentic AI components (autonomous agents and workflow orchestration), AI‐infused ...

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 ...

programme and get a job, or get your course fees back. Location: UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors ...

programme and get a job, or get your course fees back. Location: UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors ...

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 ...