1 to 25 of 55 Permanent AI Agents Jobs in Edinburgh

BlackRock. Our teams work on some of the firm's highest priority strategic initiatives, including large-scale generative AI systems, intelligent agents, predictive analytics, optimization engines, operational risk solutions, and AI platforms that accelerate innovation across BlackRock. We help define best practices, establish technical standards … stakeholders to turn ambiguous problems into scoped programs with agreed priorities and success criteria. Lead the design, build, and evaluation of AI agents and agentic workflows - tool use, memory, multi-step reasoning - on large, complex datasets, iterating as findings emerge. Partner with engineering to make solutions production ...

Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning to deliver real-world business impact. If you're passionate about shaping the future of AI … deployment of production-grade AI and Machine Learning solutions. Drive innovation in Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Deep Learning, and Transformer-based architectures. Define the technical vision for AI products, ensuring solutions are scalable, secure ...

future of BlackRock. Our teams work on some of the firm'shighest prioritystrategic initiatives, including large-scale generative AI systems, intelligent agents, predictive analytics, optimization engines, operational risk solutions, and AI platforms that accelerate innovation across BlackRock. We help define best practices,establishtechnical standards … decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring, and adoption across the firm. Translate ...

future of BlackRock. Our teams work on some of the firm’shighest prioritystrategic initiatives, including large-scale generative AI systems, intelligent agents, predictive analytics, optimization engines, operational risk solutions, and AI platforms that accelerate innovation across BlackRock. We help define best practices,establishtechnical standards … decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring, and adoption across the firm. Translate ...

BlackRock. Our teams work on some of the firm's highest priority strategic initiatives, including large-scale generative AI systems, intelligent agents, predictive analytics, optimization engines, operational risk solutions, and AI platforms that accelerate innovation across BlackRock. We help define best practices,?establish technical standards … direction, and drive key design decisions across multidisciplinary teams. Design, build, andoperateproductionAI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring, and adoption across the firm. Translate ...

team: A hands-on senior AI engineer embedded in client delivery teams, responsible for designing, building, and operating production-grade agentic AI systems on AWS. This role sits at the intersection of AI engineering and cloud architecture, owning the end-to-end implementation … just prototypes — and brings the rigour of a software engineer to a space that often lacks it. Key Responsibilities Design and implement production agentic AI systems on Amazon Bedrock, including multi-agent orchestration, memory management, and tool integration using Amazon Bedrock AgentCore and Strands Agents Build, integrate ...

collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: ·Building and deploying AI prototypes, products and production ready solutions·Designing and implementing … AI solutions that integrate with enterprise systems·Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning·Developing AI agents and agentic workflows using modern frameworks·Working with vector databases, APIs and modern data platforms·Supporting AI deployment, serving patterns, evaluation frameworks ...

collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing … AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

house teams, and we are growing fast. We believe in-house legal is becoming one of the most important functions in the AI era. Every business is moving faster, but legal work is still too often scattered across … inboxes, chats, documents and disconnected systems. the company brings that work into one system. Requests come in from across the business, AI agents handle the routine, lawyers stay in control where judgement matters, and every step is captured as work happens. We are built for in-house ...

skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed. On behalf of Computershare, we are looking for two Senior AI Security Consultants for a 12 Months contract based in Edinburgh, Bristol or London (Hybrid). Join us as a Senior AI Security … engineering teams, and business stakeholders to challenge designs and ensure appropriate security controls are embedded. Assess and advise on risks relating to LLMs, Agentic AI, RAG architectures, prompt injection, data poisoning, model theft, and AI supply chain threats. Define penetration testing scope and collaborate closely with ...

Description: Your ImpactAre you a software engineer with a working knowledge of Artificial Intelligence (AI) and Machine Learning (ML)? Are you interested in developing software for some of the most cutting-edge defence and aerospace projects in the UK? If the prospect of developing software for projects such … design, test, and systematically improve prompts, while measuring the accuracy, bias, and robustness of LLM outputs. Awareness of agentic workflows involving AI agents that can plan, reason, and take autonomous actions. Awareness of governance, security, and compliance considerations relating to data management and AI deployment. ...

with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will … building CI/CD pipelines via GitHub Actions. Software & Agentic Engineering (30%): Proficiency with modern scripting languages for building custom AI agents, configuring workflow orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming ...

house teams, and we are growing fast. We believe in-house legal is becoming one of the most important functions in the AI era. Every business is moving faster, but legal work is still too often scattered … across inboxes, chats, documents, and disconnected systems. Wordsmith brings that work into one system. Requests come in from across the business, AI agents handle the routine, lawyers stay in control where judgment matters, and every step is captured as work happens. We are built for in-house ...

Agentic Forward Deployed Engineer, you operate at the front line of delivery - embedded with the client, turning ambiguous business problems into production agents, fast. Your deliverable is Business Transformation Agents: autonomous and multi-agent systems that automate and reimagine real business processes such as invoice disputes, procurement approvals … sustain - and you lead a small team to do the same. You build exclusively in Python using agent development kits, and you bring Agentic AI capabilities to life inside the client's world, with Responsible AI, evaluation and security as non-negotiables. Frameworks: Agent Development Kits ...

personally build and deliver significant agent systems. On a squad this size, nobody leads from a whiteboard. Design multi-agent coordination. Task decomposition across agents, handoff protocols, shared state management, orchestration logic. You know the difference between agents that genuinely coordinate and agents that run sequentially … later. Build the integration layer that makes existing Multiverse systems agent‐accessible. APIs, MCPs, shared data contracts, and the tooling that connects agents to the platform, content systems, and the tools the company runs on. This means building real working relationships with engineering teams across London and designing interfaces ...

house teams, and we are growing fast. We believe in-house legal is becoming one of the most important functions in the AI era. Every business is moving faster, but legal work is still too often scattered … across inboxes, chats, documents and disconnected systems. Wordsmith brings that work into one system. Requests come in from across the business, AI agents handle the routine, lawyers stay in control where judgement matters, and every step is captured as work happens. We are built for in-house ...

selling to more than 10,000 companies. Behind them sits a CRM, an enrichment and signal stack, a growing set of AI agents - and a lot of manual work that no longer needs to exist. Your job is to remove it and to build the automated systems … standards the team builds to - version control, documentation, testing, and rollback. Build, hands-on Design and build in Clay: tables, waterfall enrichment, AI columns, webhooks and API integrations in production. Own the orchestration layer - the logic deciding which records enter a workflow, when, and on what criteria. This ...

selling to more than 10,000 companies. Behind them sits a CRM, an enrichment and signal stack, a growing set of AI agents - and a lot of manual work that no longer needs to exist. Your job is to remove it and to build the automated systems … standards the team builds to - version control, documentation, testing, and rollback. Build, hands-on Design and build in Clay: tables, waterfall enrichment, AI columns, webhooks and API integrations in production. Own the orchestration layer - the logic deciding which records enter a workflow, when, and on what criteria. This ...