1 to 25 of 173 AI Agents Jobs in Scotland

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 ...

prioritised, and your career can accelerate quickly. What makes this role different? A specialist innovation focused on SAP consulting, working with AI agents, LLMs, RAG pipelines, and agentic workflows rather than traditional SAP configuration. Exposure to high-profile, complex transformation programmes across multiple industries, delivering cutting-edge … drive innovation across SAP consulting engagements. We seek driven, technically excellent leaders who are passionate about pushing the boundaries of what AI agents can accomplish and thrive in a fast paced, innovation-driven environment As a Manager in SAP+ Design & Innovation, you’ll play a central role ...

prioritised, and your career can accelerate quickly. What makes this role different? A specialist innovation focused on SAP consulting, working with AI agents, LLMs, RAG pipelines, and agentic workflows rather than traditional SAP configuration. Exposure to high-profile, complex transformation programmes across multiple industries, delivering cutting-edge … drive innovation across SAP consulting engagements. We seek driven, technically excellent leaders who are passionate about pushing the boundaries of what AI agents can accomplish and thrive in a fast paced, innovation-driven environment As a Manager in SAP+ Design & Innovation, you’ll play a central role ...

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, we'd love … evaluation, and 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 ...

ready. Job Responsibilities: Design, develop, and implement AI and data engineering solutions, including data pipelines, machine learning models, analytics applications, and Agentic AI systems. Write secure, high‐quality code in Java, applying best practices for AI and data engineering. Develop and maintain scalable data … data systems. Support production systems, including monitoring, incident response, and continuous improvement for AI and data applications. Design, develop, and integrate Agentic AI solutions into existing and new products. Collaborate with cross‐functional teams to identify opportunities for Agentic AI applications. Implement and monitor ...

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 ...

Functional Strategy: Partner with product managers, executive leadership, and business stakeholders to turn open-ended questions into structured quantitative analyses. Analytics AI Agents: Design, deploy, and manage autonomous AI agents that automate repetitive analytics tasks and generate insights. Data Pipelines & Quality Assurance: Partner with … data transformation workflows. Nice‐to‐Haves: Experience with digital product analytics tools (i.e., Google Analytics). Nice‐to‐Haves: Experience with AI Agents i.e, Vertex AI (Gemini Enterprise Agent Platform). FairPlay Sports Media is a sports media network, focused on building and nurturing ...

enabled workflow solutions**Solution Design & Architecture*** Design and support implementation of:* AI Control Tower (AI lifecycle management, governance, observability)* Agentic AI workflows enabling autonomous execution* Now Assist/GenAI use cases across workflows* Define data, integration, and workflow architectures for AI-enabled … following areas:* ServiceNow consulting and/or implementations* AI/GenAI/automation use cases* Conversational AI/virtual agents* Enterprise architecture, data, or integrationUnderstanding of:* AI governance and responsible AI principles* Workflow design and process automation**Consulting & Leadership Skills*** Strong ...

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 ...

Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes … servers such as vLLM and llm-d (or directly equivalent model serving stacks) in productionExperience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patternsExperience building AI agents using orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar platformsExperience ...

hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge … such as vLLM and llm-d (or directly equivalent model serving stacks) in production Experience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patterns Experience building AI agents using orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar ...

Help shape how AI systems run reliably in production at scale. In this role, you’ll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You’ll work hands-on with cloud and Kubernetes … such as vLLM and llm-d or directly equivalent model serving stacks in production Experience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patterns Experience building AI agents using orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar ...

hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge … versioning, prompt/response logging, and safe rollout patterns Preferred Qualifications, Capabilities, and Skills Experience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patterns Experience building AI agents using frameworks such as LangChain, CrewAI, LangGraph, or similar orchestration ...

hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge … versioning, prompt/response logging, and safe rollout patterns Preferred Qualifications, Capabilities, and Skills Experience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patterns Experience building AI agents using frameworks such as LangChain, CrewAI, LangGraph, or similar orchestration ...

Salesforce platform capabilities. The post holder will work closely with business stakeholders, Salesforce architects, product owners, and implementation partners to identify opportunities for autonomous agents, conversational AI, workflow automation, and intelligent service delivery. The role will ensure Agentforce solutions align with enterprise architecture, security, governance, and responsible … integrating Salesforce AI capabilities with enterprise systems through APIs and event-driven architectures Understanding of LLMs, prompt engineering, RAG architectures, and agentic AI frameworks Highly developed problem solving and delivery skills with the ability to analyse complex issues, recommend appropriate solutions and manage projects to delivery ...

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 on software engineering … Data platforms.Experience 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-powered ...

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 ...

cutting-edge AI to transform their SAP landscapes. Operating on a forward-deployed model, we work hands-on with the latest agentic AI frameworks, multi-agent orchestration, and enterprise context engineering - embedding intelligent agents directly into clients' core business processes to unlock new value, streamline … your opportunity As a Senior Consultant in SAP+ Design & Innovation, you'll be at the heart of how organisations harness AI agents and intelligent automation to augment their SAP transformations - helping them move from manual, fragmented processes to streamlined, AI-powered ways of working.This role ...

cutting-edge AI to transform their SAP landscapes. Operating on a forward-deployed model, we work hands-on with the latest agentic AI frameworks, multi-agent orchestration, and enterprise context engineering - embedding intelligent agents directly into clients' core business processes to unlock new value, streamline … your opportunity As a Senior Consultant in SAP+ Design & Innovation, you'll be at the heart of how organisations harness AI agents and intelligent automation to augment their SAP transformations - helping them move from manual, fragmented processes to streamlined, AI-powered ways of working.This role ...

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 ...

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 ...