476 to 500 of 1,142 AI Jobs in Scotland

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 ...

world's most influential companies.As an AI Research Engineer - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will lead applied research that positions the team for capabilities we will need over the coming years. You will evaluate … recruiting and thought-leadership magnetChampions the firm's culture of diversity, Opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on artificial intelligence and machine learning concepts and applied experienceAdvanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face)Hands-on experience evaluating ...

systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE listed on Euronext …/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 Engineering Directors ...

Senior AWS Cloud Engineer | S4 | Data & AI Domain | Multiple LocationsCountry: United Kingdom IT STARTS HERE Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organisation , and our people are at the heart of this journey. Together , we are driving a customer-centric transformation that values … proactive and responsible approach toward risk management. The Data & AI Domain at Santander is responsible for setting the strategic direction for data, analytics, and artificial intelligence across the organisation. It ensures that data is managed as a trusted enterprise asset and that advanced technologies are applied responsibly, securely, and effectively ...

/CD, automated testing, trunk-based development, resiliency patterns) Add to the team culture of diversity, equity, inclusion, and respect Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating … outputs through peer review, automated testing, and secure coding standards Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required Qualifications, Capabilities, and Skills: Strong proficiency with modern Java (e.g., Java ...

About the Role In an era defined by data-driven transformation and applied AI, global enterprises require partners who can do more than maintain legacy infrastructure—they need visionary engineering leaders to design, scale, and operationalize the next generation of AI-enabled platforms, intelligence ecosystems, and modern data architectures. Description … About the Role In an era defined by data-driven transformation and applied AI, global enterprises require partners who can do more than maintain legacy infrastructure—they need visionary engineering leaders to design, scale, and operationalize the next generation of AI-enabled platforms, intelligence ecosystems, and modern data architectures. ...

build alignment with senior stakeholders and maintain cohesive working partnershipsAbility to facilitate collaboration across multiple teams and manage competing prioritiesFamiliarity with artificial intelligence (AI) enabled product or software delivery, and implications for metadata usabilityPreferred qualifications, capabilities, and skillsHands-on experience in engineering or development within data management platformsIndustry-recognized certifications ...

drive awareness and use of new and leading-edge technologiesAdd to team culture of diversity, opportunity, inclusion, and respectDrive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … automated testing) and promoting reuse of effective patterns across the teamApply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and advanced ...

description Connect to your IndustrySAP+ Design & Innovation Join a high-growth SAP+ Design & Innovation team that’s shaping how organisations harness cutting edge AI technology to transform their SAP landscapes. This role sits at the heart of innovation within SAP consulting, working with the latest AI agent frameworks, large language … digital transformation journeys. This is more than a delivery role. You’ll work closely with clients and project teams to design and implement intelligent AI-powered solutions that augment SAP implementations, influence how organisations operate, and see your work make a real, measurable impact. You’ll be part ...

description Connect to your IndustrySAP+ Design & Innovation Join a high-growth SAP+ Design & Innovation team that’s shaping how organisations harness cutting edge AI technology to transform their SAP landscapes. This role sits at the heart of innovation within SAP consulting, working with the latest AI agent frameworks, large language … digital transformation journeys. This is more than a delivery role. You’ll work closely with clients and project teams to design and implement intelligent AI-powered solutions that augment SAP implementations, influence how organisations operate, and see your work make a real, measurable impact. You’ll be part ...

seeking a forward-thinking Digital Lead to drive JFD’s digital transformation agenda and shape the future of how we leverage technology, data and artificial intelligence across the business. This strategic leadership role is responsible for developing and executing the Defence Digital Strategy, identifying opportunities to improve operational performance, enhance … competitiveness. Working closely with stakeholders across global JFD sites, from senior leaders to operational teams, you will lead digital initiatives, build a pipeline of AI and transformation projects, and develop sustainable digital capability across the organisation. Combining strategic vision with hands‐on delivery expertise, you will champion data‐driven decision ...

Apply SQL expertise — including complex joins and aggregations — and leverage working knowledge of NoSQL databases to support diverse data access patterns Apply reuse-first, AI-assisted practices to strengthen software development lifecycle quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability, auditability, and alignment to resiliency … security expectations Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards Applies knowledge of tools within the Software Development ...

platforms, and reviews and mentors other engineersCreates durable, reusable software frameworks and patterns that are leveraged across teams and functionsDesigns and governs agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environmentsEstablishes engineering standards for LLM-based applications … development methodologiesServes as the function's go-to subject matter expert in one or more areas of focus within data engineering, platform architecture, or AI systemsAdvises cross-functional teams on technological matters within your domain of expertiseInfluences leaders and senior stakeholders across business, product, and technology teams on technical strategy ...

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 . This … opportunity to work at the intersection of database systems, AI, cloud infrastructure, and hardware 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 ...

evolving space as new technologies reshape how money moves. In this role, you will work at the forefront of modern machine learning and generative AI to deliver meaningful, lasting impact on global finance. You will partner closely with product, operations, risk, and technology teams to turn ideas into measurable outcomes. … President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment of machine learning applications, including generative AI and agentic systems, on cloud infrastructure. You will own end-to-end delivery from problem framing and experimental design through scalable MLOps, evaluation, governance ...

reviews and mentors other engineers Creates durable, reusable software frameworks and patterns that are leveraged across teams and functions Designs and governs agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments Establishes engineering standards for LLM-based … methodologies Serves as the function's go-to subject matter expert in one or more areas of focus within data engineering, platform architecture, or AI systems Advises cross-functional teams on technological matters within your domain of expertise Influences leaders and senior stakeholders across business, product, and technology teams ...

This is a senior leadership role combining enterprise IT, modern DevOps practice,andcloud transformation. As with all technology leadership roles,it’sessential to incorporateemerging AI capabilitiesinto the team’s work. You will define and deliver technology strategy, modernise infrastructure and platforms, mature DevOps practices, and embed AI as a core … critical part in transitioning IES away from traditional on-premises infrastructure,establishinga fully cloud-based,secureand scalable environment. You willsupportour ambition to become an AI-first organisationand will lead the effort to achieve that ambition within your own team What You’ll Do Define and deliver an integrated ...