26 to 50 of 175 AI Agents Jobs in Scotland

AI-assisted coding tools and AI-powered development ecosystems. Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs. Required Qualifications, Capabilities, and Skills: Formal training or certification … with automation and workflow orchestration for operational efficiency. Published contributions to open‐source or industry‐recognized projects. Hands‐on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling. Experience enhancing AI ...

data lakes to dynamic Vector Databases and Retrieval‐Augmented Generation (RAG) architectures. Agentic Development: Build production‐grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap. Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches … clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost‐optimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock ...

analysis Drive automation of repetitive analytical processes using tools such as Power Automate Prepare semantic models for Copilot, AI agents and natural‐language querying Create descriptions, metadata, guardrails and business context that improve AI‐generated insights Use AI tools to accelerate development, documentation … outputs and ensure production readiness Ability to translate complex business requirements into scalable data models Experience preparing data platforms for Copilot, AI agents or natural‐language analytics Experience with Power Automate and workflow automation tools Previous experience working with complex master‐data environments Experience mentoring developers, analysts ...

data lakes to dynamic Vector Databases and Retrieval-Augmented Generation (RAG) architectures. Agentic Development: Build production-grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap. Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches … clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost-optimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production-level experience with tools such as Amazon Bedrock ...

give you the breathing space you need to do so’.EssentialsKey consulting skills, with a deep focus on AWS cloud transformation, AI enablement and generative AI adoption, including a number of the following:Extensive experience in cloud architecture, with a significant focus on designing and implementing … management, observability and operational readiness.Providing an authoritative point of view on how AWS enables emerging technology trends such as generative AI, agentic AI, machine learning, data platforms, serverless, containers and modern application architectures.Helping clients design and deliver AI-enabled solutions on AWS using services ...

give you the breathing space you need to do so’.EssentialsKey consulting skills, with a deep focus on AWS cloud transformation, AI enablement and generative AI adoption, including a number of the following:Extensive experience in cloud architecture, with a significant focus on designing and implementing … management, observability and operational readiness.Providing an authoritative point of view on how AWS enables emerging technology trends such as generative AI, agentic AI, machine learning, data platforms, serverless, containers and modern application architectures.Helping clients design and deliver AI-enabled solutions on AWS using services ...

data strategy, helping clients harness data to understand their customers more deeply, measure marketing effectiveness, and unlock the potential of agentic AI - intelligent, autonomous systems that can analyse, recommend, and act on marketing data at scale.This is a genuine opportunity to build hands-on expertise across data analysis … agentic AI workflow design, and marketing analytics, working alongside experienced practitioners and some of the UK's most forward-thinking brands.Connect to your career at Deloitte Deloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. ...

data strategy, helping clients harness data to understand their customers more deeply, measure marketing effectiveness, and unlock the potential of agentic AI - intelligent, autonomous systems that can analyse, recommend, and act on marketing data at scale. This is a genuine opportunity to build hands-on expertise across data … analysis, agentic AI workflow design, and marketing analytics, working alongside experienced practitioners and some of the UK's most forward-thinking brands. Connect to your career at Deloitte Deloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. ...

give you the breathing space you need to do so’.EssentialsKey consulting skills, with a deep focus on AWS cloud transformation, AI enablement and generative AI adoption, including a number of the following:· Extensive experience in cloud architecture, with a significant focus on designing and implementing … observability and operational readiness.· Providing an authoritative point of view on how AWS enables emerging technology trends such as generative AI, agentic AI, machine learning, data platforms, serverless, containers and modern application architectures.· Helping clients design and deliver AI-enabled solutions on AWS using ...

This role is responsible for translating strategic vision into a structured portfolio of differentiated offerings, ensuring competitive positioning, driving innovation (including GenAI and Agentic AI), and enabling the business with pricing, packaging, and GTM assets that accelerate growth. The Portfolio Director partners closely with Sales Enablement, Value Engineering … pricing, packaging, and GTM assets to support successful sales and delivery. Steer R&D and innovation programs, including next-generation solutions leveraging Agentic AI and GenAI. Ensure portfolio coherence with Atos’ strategy and ServiceNow’s product roadmap. Strengthen Atos’ brand as a leader in digital workflow, automation ...

/Portfolio Lead. This role is 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' global ServiceNow business. The R&D Engineering Lead works collaboratively with Portfolio Directors and Value … portfolio strategy. Build reusable frameworks, accelerators, AI-powered components, and IP that enhance competitive differentiation. Lead R&D initiatives exploring GenAI, Agentic AI, automation, integration patterns, and emerging ServiceNow capabilities. Strengthen Atos' positioning with ServiceNow through technical excellence, joint innovation, and prototype delivery. Enable faster time ...

/Portfolio Lead. This role is 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’ global ServiceNow business. The R&D Engineering Lead works collaboratively with Portfolio Directors and Value … portfolio strategy. Build reusable frameworks, accelerators, AI-powered components, and IP that enhance competitive differentiation. Lead R&D initiatives exploring GenAI, Agentic AI, automation, integration patterns, and emerging ServiceNow capabilities. Strengthen Atos’ positioning with ServiceNow through technical excellence, joint innovation, and prototype delivery. Enable faster time ...

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’ global ServiceNow business. Strategic Impact Drive the technical innovation engine for the global … portfolio strategy. Build reusable frameworks, accelerators, AI‐powered components, and IP that enhance competitive differentiation. Lead R&D initiatives exploring GenAI, Agentic AI, automation, integration patterns, and emerging ServiceNow capabilities. Strengthen Atos’ positioning with ServiceNow through technical excellence, joint innovation, and prototype delivery. Enable faster time ...

Role Aveni is building next-generation AI systems for UK financial services, where safety, compliance, and trust are non-negotiable. We're hiring a Senior Software Engineer to work on AI and agentic platform capabilities that power intelligent, automated workflows for financial services. This … using LLMs and agentic architectures Integrate AI models into production systems Design guardrails, policy enforcement, and behavioural monitoring for AI agents Mentor & Elevate the Team Support and guide junior and mid-level engineers Lead code reviews and promote engineering best practices Contribute to documentation, demos ...

Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/… designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus.Job ResponsibilitiesDesign, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across business workflows.Build LLM/SLM-powered applications including RAG-based systems, summarization/ ...

Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/… agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job ResponsibilitiesDesign, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across business workflows. Build LLM/SLM-powered applications including RAG-based systems, summarization ...

Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/… systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across business workflows. Build LLM/SLM-powered applications including RAG-based systems, summarization ...

work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic AI initiatives.We ensure that Deloitte's data is a trusted asset, enabling informed strategies and operational excellence across all our businesses and Enabling Functions.The Data … quality, trusted data for advanced analytics, reporting, and especially for the training, fine-tuning, and operational use of Generative AI and Agentic AI modelsConnect to your skills and professional experience Essentials:Proven experience in data quality management as well as data governance, or a related data ...

work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic AI initiatives.We ensure that Deloitte's data is a trusted asset, enabling informed strategies and operational excellence across all our businesses and Enabling Functions.The Data … quality, trusted data for advanced analytics, reporting, and especially for the training, fine-tuning, and operational use of Generative AI and Agentic AI modelsConnect to your skills and professional experience Essentials:Proven experience in data quality management as well as data governance, or a related data ...

Horizon and Snowpark. Advanced proficiency in Azure, AWS, or GCP platform setup and administration. Practical understanding of Generative AI, RAG frameworks, Agentic AI architectural patterns, and security guardrails. Solid understanding of data governance standards (lineage, access control) and performance/cost optimization frameworks. Job responsibilities Lead … Silver/Gold), cross-domain data modeling, and governance standards. Define data architectures supporting Enterprise AI, Generative AI, and Agentic AI workflows, including vector databases and orchestration frameworks. Incorporate FinOps and cost optimization strategies into solution proposals by tuning query performance and balancing cluster ...

Senior AI Engineer Location: 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 team. In this role, you’ll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands ...

/Portfolio Lead. This role is 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' global ServiceNow business. The R&D Engineering Lead works collaboratively with Portfolio Directors and Value … portfolio strategy. Build reusable frameworks, accelerators, AI-powered components, and IP that enhance competitive differentiation. Lead R&D initiatives exploring GenAI, Agentic AI, automation, integration patterns, and emerging ServiceNow capabilities. Strengthen Atos' positioning with ServiceNow through technical excellence, joint innovation, and prototype delivery. Enable faster time ...

Full-time A leading deep-tech research and engineering organisation is looking for Researchers and Engineers to work on next-generation database and AI data infrastructure, with a particular focus on agent-native data management, database kernels, query processing, storage engines, distributed systems, and AI workloads … acceleration , combining research with hands-on system design, prototyping, benchmarking, and performance optimisation. You’ll tackle open-ended technical problems around AI agents, vector search, RAG, agent memory, semantic data management, distributed databases, and high-performance query processing , with the opportunity to translate research into real-world ...

Startup (Edinburgh, hybrid, UK-wide considered) An early-stage AI infrastructure company building a persistent, high-speed knowledge layer for agentic AI, letting thousands of AI agents query a shared knowledge base concurrently. Spinning out of a leading UK university, currently hardware … with the CTO. What you'll do: Own the software model ("digital twin") used to evaluate system behaviour ahead of dedicated hardware Build agentic AI and GraphRAG workloads showing measurable system-level improvements Build and maintain a benchmark suite (latency, GPU utilisation, token reduction, throughput, cost per query ...

look like Every day will be different, but you can expect it to include: Own and deliver end-to-end AI systems: agents and the platforms they depend on. You identify a user problem, break it down and build the AI system that solves … human-in-the-loop review processes that tell the team whether its AI systems are doing what they should. Design tool integrations. Agents are only as capable as the systems and context they can reach. You design and build the tool layer: MCPs, APIs, data contracts ...