451 to 475 of 1,129 AI Jobs in Scotland

automation in a live production environment. You’ll deliver customer and internal projects end-to-end, learn new technologies, and help shape our AI and HPC platform from the ground up. #J-18808-Ljbffr ...

executive sponsor and Partnerships team to shape strategy, build relationships across OpenAI’s GTM org and create real commercial opportunities. Join a fast-growing AI-native consultancy, with a strong ecosystem, hybrid/remote options, and offices in Edinburgh, Leeds, Manchester, London, plus travel to client sites as needed. #J ...

product/services outcomes either as a Product Owner, Service Designer, Product Analyst, Digital Consultant or Business Analyst Worked in directing and leading AI Activities A strong background in analysis and working across multiple disciplines and organisations This is a super opportunity so please get in touch to discuss things ...

Experience operating within a global or multi-regional organisation Experience of leading service teams through wider target operating model or business change Adoption of AI tools (ideally Service Delivery automation) or Modern ways of working implementation. In return for your endeavours, you can expect to join a growing organisation with ...

Power Platform:Power Apps (essential)Power Automate (essential)Power Pages/Portals (preferred)Power BI (preferred)Demonstrable hands-on experience with Microsoft Copilot and AI capabilities within the Dynamics 365 and Power Platform ecosystem, including one or more of the following:Microsoft Copilot Studio – designing, building and deploying custom Copilots … agents integrated with Dynamics 365 CRM processesDynamics 365 Copilot features in Sales and Customer Service (e.g. AI-generated summaries, email drafting, case resolution suggestions, real-time agent assist)AI Builder – document processing, prediction models, and form recognition within Power Platform and Dynamics 365 workflowsAzure OpenAI Service integration with Dynamics ...

Power Platform:Power Apps (essential)Power Automate (essential)Power Pages/Portals (preferred)Power BI (preferred)Demonstrable hands-on experience with Microsoft Copilot and AI capabilities within the Dynamics 365 and Power Platform ecosystem, including one or more of the following:Microsoft Copilot Studio – designing, building and deploying custom Copilots … agents integrated with Dynamics 365 CRM processesDynamics 365 Copilot features in Sales and Customer Service (e.g. AI-generated summaries, email drafting, case resolution suggestions, real-time agent assist)AI Builder – document processing, prediction models, and form recognition within Power Platform and Dynamics 365 workflowsAzure OpenAI Service integration with Dynamics ...

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech … 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. The AI Transformation team AI Transformation is a small, focused squad that is driving Multiverse’s next wave of growth. Our mandate is to rebuild ...

offer an exciting opportunity to contribute to impactful transformation projects while developing deep Capital Markets expertise. You will also be encouraged to leverage approved AI tools, automation, and AI-enabled workflows to enhance analysis, delivery quality, and productivity, while applying appropriate human judgement and governance in regulated environments.What … DoLead workshops and gather requirements to inform functional specifications and user stories, using appropriate AI-enabled tools and techniques where they improve efficiency, traceability, or insight.Map and analyse business processes and customer journeys to identify opportunities for optimisation,including through automation and AI-enabled process improvements where appropriate.Deliver change initiatives ...

Chief Security Office (CSO) to ensure that we keep our customers, colleagues and assets safe from threat. The CSO’s Security Data and AI lab have a phenomenal opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and Data Engineering feature teams. In this role … Strong grasp of anomaly detection, time-series modelling, and deep learning architectures. Experience with LLMs and generative AI in production environments is highly desirable. Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations. Excellent communication and customer engagement skills Innovators Mentality - An innovator and change ...

Chief Security Office (CSO) to ensure that we keep our customers, colleagues and assets safe from threat. The CSO’s Security Data and AI lab have a phenomenal opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and Data Engineering feature teams. In this role … Strong grasp of anomaly detection, time-series modelling, and deep learning architectures. Experience with LLMs and generative AI in production environments is highly desirable. Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations. Excellent communication and customer engagement skills Innovators Mentality - An innovator and change ...

digital products. You will have strong experience on React with Python and Large Language Models (LLMs) to support and enhance our client’s AI-driven initiatives. Beyond technical expertise, you will follow software engineering best practices, including codebase security, testing, and scalability of AI systems. This role requires someone … APIs to efficiently connect frontend applications with backend services. Work with business and technical stakeholders to turn requirements into technical solutions. Exposure to integrating AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Manage code using ...

shaping our data strategy, working across multiple departments to design and implement a robust data ecosystem that supports our business intelligence, analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes … cloud-based data platforms. The Data Architect will be a key partner in driving data-driven decisions and future-proofing Jazwares’ data platform for AI by providing the foundation for reliable, high-quality data. What You Will Do: Design and maintain enterprise data architecture frameworks, standards, and best practices. Develop ...

grow toward senior-level responsibilities, gain exposure to architectural thinking, and work with cutting‐edge technologies, including Microsoft Foundry as part of emerging AI-driven capabilities. Candidates should apply if they’re looking for a role that blends hands‐on engineering, problem-solving, continuous learning, and meaningful contribution to client … outcomes within a high-performing Data & AI business unit. A Data Engineer is responsible for several key activities: Design, build, and maintain scalable, secure, and high performing data pipelines using Azure Data Factory, Synapse, Fabric Pipelines, or Databricks Integrate data from multiple systems into Azure Data Lake Storage or OneLake ...

develop, and maintain complex desktop and cloud applications using modern software engineering practices, including design patterns, SOLID principles, automated testing, and CI/CD.Leverage AI-assisted development tools such as GitHub Copilot, code-generation tools, and automated testing assistants to improve productivity and code quality.Collaborate closely with the Team Lead … risks, trade-offs, progress, and technical challenges effectively to both technical and non-technical stakeholders.Continuously evaluate and adopt relevant technologies, frameworks, cloud services, and AI-assisted development tools.Required Experience & QualificationsSoftware Engineer: 3 to 10 years of professional software engineering experience.Senior Software Engineer: 5 to 15 years of professional software engineering ...

infrastructure layer that helps organisations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organisations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping … teams transform data into reliable, governed insights. Together, we support thousands of organisations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products ...

methods and industry-standard practicesAdvise cross-functional teams on technological matters within your domainApply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automationEnhance automation at scale to improve value and efficiencyLead architectural decisions and engineering practices across multiple teamsCollaborate with stakeholders to deliver impactful … stability at enterprise scaleExpertise in Python and/or PySparkKnowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow ...

industry-standard practices Advise cross-functional teams on technological matters within your domain Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation Enhance automation at scale to improve value and efficiency Lead architectural decisions and engineering practices across multiple teams Collaborate with stakeholders … enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks ...

support of the firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous … skills Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating ...

integrations with database and ETL platforms.Build self-service capabilities, operational dashboards, workflow automation, and metadata-driven solutions using modern web technologies and microservices architectures.Develop AI-driven solutions to discover, classify, and protect sensitive information within unstructured data, leveraging advanced natural language processing and automated data masking techniquesDesign and build automations … asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus.Good to have experience in designing and developing AI-powered solutions using Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic workflows.Extensive experience building and optimizing data pipelines and data architectures (preferred using Talend ...

senior Python engineer who wants to work at the intersection of data platforms and applied AI? This is your opportunity to join a small, high-impact team building something new from the ground up — where your decisions shape the architecture, not just the backlog. At JPMorganChase, we invest in engineers … will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will own components end-to-end, from ingestion pipelines to governed retrieval services, and your engineering instincts will directly ...

Title Lead Data & AI Architect Salary: £73,000 - £88,000 Location: Any Frazer-Nash office location with flexible hybrid working between office, client sites and home. Closing date: 16th September … Frazer-Nash, we empower endeavour for real results. Our Digital AI team helps clients and the wider business unlock the value of data, artificial intelligence, analytics and automation, delivering innovative solutions in complex and highly regulated environments. We are seeking an experienced Lead Data & AI Architect to provide strategic technical ...

senior Python engineer who wants to work at the intersection of data platforms and applied AI? This is your opportunity to join a small, high-impact team building something new from the ground up - where your decisions shape the architecture, not just the backlog. At JPMorganChase, we invest in engineers … will be a founding contributor to the Context Plane - a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will own components end-to-end, from ingestion pipelines to governed retrieval services, and your engineering instincts will directly ...

technical authority across our engineering squads. Bringing a broad, generalist mindset across platform engineering and modern infrastructure, you will lead the integration of AI-driven delivery practices, intelligent automation, and Generative AI tooling into everyday workflows. You will define project-level technical architecture, mentor and lift up growing engineers … conflicts, aligning client stakeholders, and driving high-impact technical strategy aligned with human-centric business goals. Key aspects of the role include Technical Strategy & AI Integration: Defining technical architecture across squads, anticipating system scaling risks, and driving the adoption of modern AI tooling, MLOps, and intelligent automation within cloud environments. ...

written and verbal communication skills Excellent teamwork and collaboration skills Experience operating in an Agile environment, with a deep understanding of agile development principles. AI & Modern Engineering Skillsets Hands‐on experience using AI coding assistants such as: Cursor or equivalent AI‐first IDEs Experience applying Generative AI for: Code generation … refactoring Test generation and coverage improvement Documentation and API contract generation Strong understanding of responsible AI usage, including code correctness, security, data privacy, and licensing considerations. Ability to critically review and validate AI‐generated code outputs. Candescent is the largest non-core digital banking provider. We bring together the transformative ...

Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people … first. We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment ...